Description:

Publication in good journals is a sign of high international recognition of your work. Writing good papers that can be accepted for publication on high level journals are one of the important tasks during a Ph. D. study. This course tries to help the Ph. D. students to increase their chances to get their papers published in international journals. To serve the goal, in this course

·       First, the procedure about how the paper review process is carried out will be explained (starting from the moment you submit your paper to the time that you get
        the reviewers’ comments and until the final decision).

·       How will the paper is reviewed by reviewers.

·       Standard evaluation forms that will be filled in by the reviewers for different journals.

·       Important aspects to consider when you write your paper. (Paper structure, what to do and what not to do)

·       How to include citations to other work in a paper

·       How to write the reply to the response from reviewer.

·       Several concrete case studies.

·       Exercise.

Examples will be given mainly in the Energy Technology area in terms of journals – but most of it has a generic structure in terms of peer review process.

Day 1: Good guidelines for paper writing – Frede and Kaiyuan (8 hours)

We will cover various important issues to secure successful paper writing as mentioned in the course description. You will have a chance to get feedbacks about your own paper from your group supervisor and group discussions during the exercise session.


Day 2: Reply-to-reviewers letter and sharing of various stories from group supervisors (4 hours)

How to prepare the reply-to-reviewers letter will be discussed. Examples will be presented and various advice and storied experienced by the group supervisors will be shared.

Prerequisites: No

Form of evaluation: Group exercise-based evaluation

Course literature:

1.      Lectures slides

2.      It is preferred that each participant can prepare a draft version of your paper or an extended abstract, which will be used for group discussion in the exercise
         session.

Organizer:     Associate Professor, Kaiyuan Lu, klu@energy.aau.dk

Lecturers:      Prof., Frede Blaabjerg, AAU Energy, Asso. Prof., Kaiyuan Lu, AAU Energy

ECTS:               1.5

Date/Time:   30-31 May 2023

Deadline:       9 May

Place:              AAU Energy, Aalborg

Max no. of participants:    N/A

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 



Description: The three-level neutral-point-clamped (3L-NPC) converters have been widely applied in several applications including motor drives and grid integration such as wind and solar energy systems. Key performance metrics of the 3L-NPC converters like power quality, efficiency, power density and reliability are strongly affected by the used control methods. Therefore, different control methods have been proposed for the 3L-NPC topology to address certain aspects.

This course aims to address basic concepts and control design challenges of NPC converter applications. It will start with basic operating principles of the topology and their control challenges such as neutral point voltage balancing and thermal stress distribution. Then, two different control approaches will be presented: 1) carrier-based PWM techniques and 2) model predictive control techniques. For each control technique, basic concept and step-by-step implementation guideline will be provided, followed by more application-oriented examples and implementation challenges.

An approach to analyze the reliability of power electronics converters will also be introduced, which includes thermal stress modeling, lifetime prediction, and reliability evaluation (Monte Carlo simulation). It will be demonstrated that control algorithm selection has a major impact on the reliability of semiconductor devices and DC-link capacitors in NPC converters. In the last part of the course the focus will be set on practical application cases of NPC converters in the industry.

The course is intended both for academia researchers and industry, who do not have previous knowledge about the NPC topology (basic operating principles will be explained), and for those who are familiar with the topology and would like to learn more about ongoing research directions and novel control solutions.


Day 1

·       Introduction (0.5 hours)

·       3L-NPC converter topology and operating principles (1 hour)

·       Advantages, challenges, and applications of 3L-NPC converters (1 hour)

·       Carrier based modulation methods for 3L- NPC converters (1.5 hour)

·       Model predictive control methods for 3L- NPC converters (1.5 hour)

·       Hands-on exercises (1.5 hours)

Lecturers: Ariya Sangwongwanich, Mateja Novak

Day 2

·       Reliability of 3L-NPC converters (1.5 hour)

·       Impact of the control algorithm on the device and capacitor reliability (0.5 hour)

·       Practical aspects and design considerations – industrial case study (2 hours)

·       Hands-on exercises and Lab demo (3 hours)

Lecturers: Ariya Sangwongwanich, Mateja Novak, Radu Dan Lazar

Prerequisites:

·       Fundamentals of power electronics

·       Experience with MATLAB/Simulink is recommended for the exercises

Form of evaluation: Students are required to solve exercises using the knowledge acquired in the course and submit a short project report with solutions within three weeks after the course, which will be assessed by the lecturers.

Course literature:

·       J. Rodriguez, S. Bernet, P. K. Steimer, and I. E. Lizama, “A survey on neutral-point-clamped inverters,” IEEE Trans. Ind. Electron., vol. 57, no. 7, pp. 2219–2230, 2010.

·       A. Nabae, I. Takahashi and H. Akagi, "A new neutral-point-clamped PWM inverter", IEEE Trans. Ind. Applications, vol. 17, no. 5, 1981.

·       T. Bruckner and D. G. Holmes, "Optimal pulse-width modulation for three-level inverters,“ IEEE Trans. Power Electron., vol. 20, no. 1, pp. 82-89, Jan. 2005.

·       S. Busquets-Monge, J. Bordonau, D. Boroyevich, and S. Somavilla, “The nearest three virtual space vector PWM - a modulation for the comprehensive neutral-point
        balancing in the three-level NPC inverter,” IEEE Power Electronics Lett., vol. 2, no. 1, pp. 11–15, 2004.

·       S. Vazquez, J. Rodriguez, M. Rivera, L. G. Franquelo, and M. Norambuena, “Model predictive control for power converters and drives: Advances and trends,” IEEE
        Trans. Ind. Electron., vol. 64, no. 2, pp. 935–947, Feb 2017.

·       J. Rodriguez and P. Cortes, Predictive Control of Power Converters and Electrical Drives, ser. Wiley - IEEE. Wiley, 2012

·       H. Wang, M. Liserre, F. Blaabjerg, P. P. Rimmen, J. B. Jacobsen, T. Kvisgaard, J. Landkildehus, "Transitioning to physics-of-failure as a reliability driver in power
        electronics," IEEE J. Emerg. Sel. Topics Power Electron., vol. 2, no. 1, pp. 97-114, Mar. 2014.

·       H. Wang and F. Blaabjerg, “Reliability of capacitors for DC-link applications in power electronic converters – an overview,” IEEE Trans. Ind. App., vol. 50, no. 5, pp.
        3569-3578, Sep./Oct. 2014.

Organizer:     Assistant Professor Ariya Sangwongwanich – Aalborg University, ars@energy.aau.dk

Postdoc Mateja Novak – Aalborg University, nov@energy.aau.dk

Lecturers:      Professor Ariya Sangwongwanich – Aalborg University, Postdoc Mateja Novak – Aalborg University, Radu Dan Lazar – Danfoss Drives

ECTS:               2

Date/Time:   21/09/2023 – 22/09/2023

Deadline        31 August 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 20

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.



Description: The course will give an overview of utilizing biomass as a resource for energy, fuel, and biomass derived chemicals and value-added products. The course will topics in:

·       Sustainable biomass

·       Different types of biomasses available (e.g. woody biomass, forest residues, agricultural residues, energy crops, algae,
        etc.)

·       Competitive pretreatment technologies and how do they differ in physical and chemical characteristics

·       Biomass conversion technologies with focus on biochemical (anaerobic digestion and fermentation processes)
        conversion processes and methanisation

·       Biorefinery approach and how processes can turn biomass into fuels and higher value products; 

·       How to obtain advanced biofuels from biomass

·       How are economic and environmental assessments performed for biorefineries

·       How will policies shape the future of R&D in the biomass to resources sector

 program

 

  

Prerequisites: You should have at least BSc level knowledge on topics such as chemistry, mathematics and process engineering.

Form of evaluation: Homework (non graded) and assignment (graded) to be submitted 2 weeks after the end of the course.

Course literature:

1.      Research articles

2.      Instructor’s presentations

3.      Laboratory introduction

Organizer:     Assoc. Prof., Jens Bo Holm-Nielsen, jhn@energy.aau.dk

Assoc. Prof., Tanmay Chaturvedi, tac@energy.aau.dk

Lecturers:      Jens Bo Holm Nielsen, AAU, Esbjerg

Mette Hedegaard Thomsen, AAU, Esbjerg

Tanmay Chaturvedi, AAU, Esbjerg

ECTS:               5

Date/Time:   12-16 June 2023 (Tentative)

Deadline         22 May

Place:              AAU Energy, Esbjerg - Niels Bohrs Vej 8, 6700 Esbjerg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: This course deals with the stability of modern power systems with a high penetration of renewable energy sources.

Power system is undergoing tremendous transformation as non-conventional renewable energy sources like wind and photovoltaic are introduced. While such renewable sources are very good for the sustainable harnessing of energy, they are altering the way power system was designed to operate. First, they are inherently stochastic in nature due to their dependence upon local weather conditions and secondly, they do not use the conventional large synchronous generators. Their power electronic converter interface decouples them from the grid frequency interaction with respect to inertial response and synchronizing power. Moreover, their dependency upon weather may lead to wide variations in power generation capability. At the same time, they might not contribute to the grid frequency stability; especially if they are on maximum power point tracking control. In the event of faults, they have limited power to contribute to the short circuit currents.

On the positive side, the advances in power electronic converter controls, imparts them fast controllability. So they can be controlled to inject reactive current and assist voltage stability. They may also be controlled to provide emulated inertia and primary frequency regulation provided that they have some energy storage.

 

Key topics include:

·       Review of concepts of power system stability

·       Frequency and voltage stability with a high penetration of wind and PV power

·       Control opportunities and limitations provided by the converter control in RES.

 

The concepts would be demonstrated through the simulation in PowerFactory (DigSILENT).

Day 1: Overview of Conventional Power System Structure Modern Power System, and Introduction to Power system stability by Sanjay K Chaudhary (3.5 hours lecture) and Rakesh Sinha (3.5 hours simulation exercise and discussion) .

Day 2: Frequency stability and Voltage stability, by Sanjay K Chaudhary (3.5 hours lecture) and Gibran Tinajero (3.5 hours simulation exercise and discussion).

Day 3: Transient Stability, LVRT, Black start and Small signal stability analysis, by Sanjay K Chaudhary (3.5 hours lecture) and Rakesh Sinha (3.5 hours simulation exercise and discussion).

Prerequisites:

A basic knowledge of modern power system.

Form of evaluation:

The participants will have to write a report of the simulation exercises as a part of the course. Submission of this report via moodle is mandatory for the assessment and award of diploma.

Course literature:

1.       P.S. Kundur, Power System Stability and Control, Ch. 2, 11, and 14.

2.       H. Holttinen and R. Hirvonen, Power System Impacts of Wind Power, Wind Power in Power Systems, Second Edition. Edited by Thomas Ackermann.

3.       Requirements laid down under EU regulation 2016/631 – Requirements for grid connection of Generators (RfG), ENTSO-E, [online] Available: https://www.entsoe.eu/active-library/codes/cnc/

4.       Y. Yu, S. K. Chaudhary, S. Golestan, G. D. A. Tinajero, J. C. Vasquez, and J. M. Guerrero, “An Overview of Grid-Forming Control for Wind Turbine Converters,” in IECON 2021

5.       S. K. Chaudhary, R. Teodorescu, J. R. Svensson, Ł. H. Kocewiak, P. Johnson, and B. Berggren, “Black Start Service from Offshore Wind Power Plant using IBESS,” in PowerTEch 2021.

Organizer:     Associate Prof. Sanjay K. Chaudhary (skc@energy.aau.dk )  

Lecturers:      Associate Prof. Sanjay K. Chaudhary, skc@energy.aau.dk , AAU-Energy.  

Assistant Prof. Gibran David Agundis Tinajero, gdat@energy.aau.dk , AAU-Energy.

Post. Doc. Rakesh Sinha rsi@energy.aau.dk , AAU-Energy.

ECTS:               3

Date/Time:   8 - 10 November 2023, Time 8:30 – 16:30.

Deadline:      18 October

Place:              AAU Energy, Aalborg

Max no. of participants: 15

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: The Smart Grid concept involves integration of information and communication technology from the electricity generation to the consumption sectors. The bulk of the smart grid applications take place in the distribution grids (MV and LV) where significant amounts of renewable generation and flexible demand units are integrated, distribution controls are automated, assets are monitored and proactively managed and consumers are empowered for economic and efficient use of electricity. This course covers important applications and technologies of the smart distribution systems. The technical limitations and means of increasing the hosting capacity of distributed energy resources in intelligent grids are covered. In addition, the course also includes utility practices and guidelines, dynamics of electricity market, communication technologies and case studies relevant to future power distribution systems.

 

Day 1:

Lecture 1: Modern Electric Power Distribution Systems (BBJ) 8:45 – 10:15

a.  Problems seen in present and the future distribution system

b.  Overall structure of course and introduction of the smart grid layers

c.   Presentation of network structures and market perspectives and relations to thermal and electrical system

d.  Overall consideration for the modern distribution system

Lecture 2: Grid codes/standards - LV/MV Distribution systems (JRP) 10:30-12:00

a.    LV and MV grid codes

b.    Distribution grid integration guidelines for distributed energy resources

c.    Utility practices in different countries

Lecture 3: TSO-DSO Interface and System Balancing (PAP) 13:00-14:30

a.       Relevance of TSO-DSO interface

b.      Enhanced system services from active distribution grids

Lecture 4: Smart energy management in active distribution systems (PAP) 14:45-16:15                                              

a.    Optimization and programming applications in smart grid

b.    Demand response and its types

c.    Applications of demand response

d.    Case studies of demand response

Day 2:

Lecture 1: Heat pumps/Electric boilers in distribution grids (RSI) 8:45-10:15

a.       Heat pump and Electrical boiler basics and types.

b.      Operation, control and flexibility

c.       Impact on distribution grids

d.      Aggregation and control

Lecture 2: Electric vehicles in distribution grids (RSI) 10:30-12:00

a.       Grid impact studies

b.      Charging strategies

c.       Grid support from EVs

Lecture 3: Solar PVs in distribution grids (FI) 13:00-14:30          

a.       Technology overview

b.      Control strategies

c.       Grid support from PV’s

d.      Grid impact studies

Lecture 4: Operation, control and reliability of supply (FI)14:45-16:15          

a.    Examples of operation and control methods in the smart grid

b.    Reliability and security of supply

Day 3:

Lecture 1: ICT aspects in Smart Distribution grids (RLO) 8:45-10:15 & 10:30-12:00

a.       ICT basics technologies and protocols

b.      Performance and reliability

c.       Challenges of the ICT network from a smart grid perspective

d.      Examples

Lecture 2: Simulation tool for distribution grids (JRP/RSI) 13-14:30 & 14:45-16:15

a.       Basics of DIgSILENT

b.      Exercises

Day 4:

Lecture 1: Simulation tool for distribution grids (JRP/RSI) 8:45-10:15 & 10:30-12:00

a. Simulation Exercises in DIgSILENT (Continued)

 

Written Test (JRP) 13:00 – 15:00

Prerequisites: Electrical engineers and PhD students with knowledge about electrical power and energy systems.

 

Form of evaluation: Written Test

 

Course literature: All course literature (book chapters, papers, presentations etc.) and number of pages for each:

1.       Energinet.dk, Technical Regulations for grid connection: https://en.energinet.dk/Electricity/Rules-and-Regulations/Regulations-for-grid-connection

2.       ENTSO-E Network Code for Requirements for Grid Connection - Applicable to all Generators https://www.entsoe.eu/major-projects/network-code
           -development/requirements-for-generators/Pages/default.aspx

3.       Dansk Energi, https://www.danskenergi.dk/vejledning/nettilslutning

4.       IEEE Guide for the Benefit Evaluation of Electric Power Grid Customer Demand Response, in IEEE Std 2030.6-2016, pp.1-42, 16 Dec. 2016.

5.       Pilo et al., “Control and Automation Systems at the TSO-DSO interface: A survey on the actual functionalities and DSO requirements,” in Cigre WG C6.25, Dublin,
          2017, pp. 1–10.

6.       Iker Diaz de Cerio Mendaza, An Interactive Energy System with Grid, Heating and Transportation Systems, Ph.D. thesis, Department of Energy Technology,
          Aalborg University, 2014

7.       Sinha R., Flexible Control for Local Heating and Transportation Units in Low Voltage Distribution System, AAU PhD thesis,  2019.

8.       Demirok E., Control of Grid Interactive PV Inverters for High Penetration in Low Voltage Distribution Networks, AAU PhD thesis,  2012.

9.       https://arxiv.org/pdf/2103.11657.pdf

10.   https://vbn.aau.dk/da/publications/active-power-reference-tracking-in-electricity-distribution-grids

11.   https://vbn.aau.dk/da/publications/on-the-trade-off-between-timeliness-and-accuracy-for-low-voltage-

12.   Andrew Tanenbaum's Computer Networks (see https://www.amazon.com/Computer-Networks-Andrew-S-Tanenbaum-ebook-dp
        -B006Y1BKGC/dp/B006Y1BKGC/ref=mt_other?_encoding=UTF8&me=&qid=
)

Organizer:     Professor Birgitte Bak-Jensen, bbj@energy.aau.dk

Lecturers:      Professor Birgitte Bak-Jensen, Aalborg University

Associate Prof. Jayakrishnan Pillai, Aalborg University

Associate Prof. Florin Iov, Aalborg University

Associate Prof. Rasmus Løvenstein Olsen, Department of Electronic Systems, AAU

Assistant Professor Pavani Ponnaganti, Aalborg University

Postdoc, Rakesh Sinha, Aalborg University.

ECTS:               3

Date/Time:   September 26-29, 2023'

Deadline       September 6

Place:              AAU Energy, Aalborg

Max no. of participants: 20


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description:  Lithium-ion batteries have a wide range of applications, and their safe and reliable operation is essential. However, due to the complex electrochemical reaction of the battery, the battery performance parameters show strong nonlinearity with aging. Therefore, as the main technologies in BMS, battery state estimation and lifetime prediction remain challenges. Artificial Intelligence (AI) technologies possess immense potential in inferring battery state, and can extract aging information (i.e., health indicators) from measurements and relate them to battery performance parameters, avoiding a complex battery modeling process. Therefore, this course aims to introduce the application of AI in Smart Battery state estimation.

This two-day course introduces AI methods for estimating/predicting batteries’ state of charge (SOC), state of health (SOH), state of temperature (SOT), and remaining useful life (RUL). Key aspects include laboratory data preparation, data preprocessing, AI model training and selection.

In addition to the classic algorithms of AI, e.g., support vector regression, Gaussian process regression, neural networks, transfer learning, and multitask learning, the feature extraction and selection methods will be included in the discussion.

In terms of training, two modes will be introduced (depending on the accuracy, robustness, and computation complexity of the selected AI algorithm), i.e., with feature extraction and without feature extraction. According to multiple case studies, the strength and drawbacks of different AI algorithms will be compared.

Exemplifications of some of the discussed topics will be made through exercises in Python and MATLAB.

Day 1: Introduction to Artificial Intelligence and battery state estimation – Remus Teodorescu, Nicolai André Weinreich & Xin Sui (8 hours)

·       Introduction to Smart Battery: how AI makes battery smart

·       AI basics

·       Estimation and prediction in general

·       Lithium-ion battery basics

·       Introduction to State of charge, state of health, and lifetime prediction

·       Battery characteristics and performance parameters

Day 2: Artificial Intelligence for battery State estimation – Xin Sui & Changfu Zou (8 hours)

·       Aging description and tests

·       Data preprocessing including data cleaning, data alignment, feature extraction

·       SOX (SOC, SOT, SOH) estimation using AI

·       Short-term and long-term SOH prediction using AI

·       Support vector regression, Gaussian process regression, neural networks, Transfer learning, and multitask learning

Prerequisites: Fundamental understanding of characteristics of Li-ion batteries, and familiar with programming using MATLAB/Python. Note: the course language is English.

Form of evaluation: Students are expected to solve a few exercises and deliver an individual report with solutions and comments.

Course literature:

1.       Plett, Gregory. Battery Management Systems, Volume I: Battery Modeling, Artech House, 2015 (Chapters: 1, 2, 7 all pages, optionally Chapter 5)

2.       Plett, Gregory. Battery Management Systems, Volume II: Equivalent-Circuit Methods, Artech House, 2015 (Chapters: 1, 3, 4, all pages)

3.       Teodorescu, R.; Sui, X.; Vilsen, S.B.; Bharadwaj, P.; Kulkarni, A.; Stroe, D.-I. Smart Battery Technology for Lifetime Improvement. Batteries 20228, 169.
         https://doi.org/10.3390/batteries8100169

4.       Sui, X., He, S., Vilsen, S.B., Meng, J., Teodorescu, R. and Stroe, D.I., 2021. A review of non-probabilistic machine learning-based state of health estimation
          techniques for Lithium-ion battery. Applied Energy, 300, p.117346.

5.      Wang, Y., Tian, J., Sun, Z., Wang, L., Xu, R., Li, M. and Chen, Z., 2020. A comprehensive review of battery modeling and state estimation approaches for advanced
         battery management systems. Renewable and Sustainable Energy Reviews, 131, p.110015.

Organizer:     Prof. Remus Teodorescu ret@energy.aau.dk

Postdoc Xin Sui xin@energy.aau.dk

Lecturers:      Postdoc. Xin Sui, Aalborg University

Research Assi. Nicolai André Weinreich

Prof. Remus Teodorescu, Aalborg University

Assoc. Prof. Changfu Zou, Chalmers University of Technology

ECTS:               2.0

Date/Time:   23-24 November 2022

Deadline
         2 November 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: Lithium-ion batteries have a wide range of applications. The improvement in their energy and power densities have greatly enhanced the growth of e-mobility. Higher penetration of electric vehicles can happen faster with safer, more reliable and intelligent ali-ion energy storage systems.

This two-day course develops the concept of ‘Smart Batteries (SB)’ for Li-ion cells. Smart battery integrates power electronics and intelligent control to the cells. This is done by using a half-bridge circuit connected across the cell terminals. The course introduces the operation of the SB with the integrated half bridge circuit.

The course gives a detailed overview of the state-of-the-art battery management systems, chargers/ charging methods. This discussion evolves into the advantages of the SB in making smart BMS and energy efficient charging methods and lifetime improvement. The design of the SB, optimal device selection, PCB design for different geometries of the cells (prismatic, pouch and cylindrical ) will be discussed. The SB also has intelligent control and the course introduces the communication architecture and controller selection for the SB management systems.

Simulation exercises in Simulink/Plecs/LTSpice will be used as tools to understand and appreciate the SB concept and hardware architecture.

Day 1: Power Electronics in Li-ion battery systems – Remus Teodorescu, Abhijit Kulkarni (8 hours)

·       Introduction to Li-ion batteries, pack structure, geometries and terminology of battery energy systems

·       Introduction to Smart battery

·       Balancing of cells in a pack – passive, active and using SB

·       Charging methods overview

·       Power electronics topologies integrated with batteries for chargers and their comparison with SB based chargers

·       Battery management systems and recent trends

 

Day 2: Smart Battery Design, Abhijit Kulkarni, Renata Oliveira de Sousa(8 hours)

·       Detailed architecture of the SB

·       Design of the half bridge, MOSFET selection, power loss analysis

·       Design of PCB for different geometries of Li ion cells

·       Controller selection and SB management system design

·       Pulsed operation, cell balancing in SB, and energy efficient charging methods

 

Prerequisites: Fundamental understanding of characteristics of Li-ion batteries, and familiar with programming using Simulink and any circuit simulator such as Plecs or Spice.

Note: the course language is English.

Form of evaluation: Students are expected to simulate SB and it’s integration with power electronics converters and make a report of the same.

References:

1.      Plett, Gregory. Battery Management Systems, Volume I: Battery Modeling, Artech House, 2015 (Chapters: 1 all pages, optionally Chapter 2)

2.      Plett, Gregory. Battery Management Systems, Volume II: Equivalent-Circuit Methods, Artech House, 2015 (Chapters: 1, 5, all pages)

3.      Teodorescu, R.; Sui, X.; Vilsen, S.B.; Bharadwaj, P.; Kulkarni, A.; Stroe, D.-I. Smart Battery Technology for Lifetime Improvement. Batteries 20228, 169.
         
https://doi.org/10.3390/batteries8100169

4.      R. Oliveira de Sousa, A. Kulkarni, M. Stenkjær Hansen, J. Melkær Midtgaard and R. Teodorescu, "Wireless Control of Smart Battery Systems," 2022 IEEE 13th
         International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
, 2022, pp. 1-6, doi: 10.1109/PEDG54999.2022.9923316.

5.      Ricco, M.; Meng, J.; Gherman, T.; Grandi, G.; Teodorescu, R. Smart Battery Pack for Electric Vehicles Based on Active Balancing with Wireless Communication
         Feedback. 
Energies 2019, 12, 3862, pages (1-15) https://doi.org/10.3390/en12203862

6.      Next Generation Wireless BMS using CC2662R-Q1, Texas Instruments Notes, Available at: https://www.tij.co.jp/jp/lit/pdf/slyp857 (Pages 1 - 25)

7.      Qian Lin, Jun Wang, Rui Xiong, Weixiang Shen, Hongwen He, Towards a smarter battery management system: A critical review on optimal charging methods of
        lithium ion batteries, Energy, Volume 183, 2019, Pages 220-234, 
https://doi.org/10.1016/j.energy.2019.06.128

Organizer:     Prof. Remus Teodorescu ret@energy.aau.dk

Lecturers:      Asst. Prof. Abhijit Kulkarni, Aalborg University

Prof. Remus Teodorescu, Aalborg University

Postdoc Renata Oliveira de Sousa, Aalborg University.

ECTS:               2.0

Date/Time:   21-22 November 2023

Deadline        31 October

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description:

Power electronics are essential for power conversion of Photovoltaic (PV) systems and their reliability of power electronics systems strongly affects the availability and consequently the levelized cost of energy (LCOE) of PV energy. According to field experience, the power electronics systems (e.g., PV inverter) are among the most fragile parts in PV systems that contribute to a majority of system downtime. With the demand to further reduce the cost of PV energy, the reliability of power electronics in PV systems needs to be improved to reduce the (unexpected) failure in field operation. This calls for a better design methodology as well as a proper control strategy.

This PhD course aims to address the reliability challenge and solution for power electronics in PV applications. It will cover the design aspects related to power electronics reliability for PV systems. A step-by-step modeling approach from mission profile to the reliability performance (e.g., failure rates) will be introduced. The reliability of key components such as power devices and dc-link capacitors will be elaborated in details, and solutions to enhance their reliability through the design and control methods will be discussed and demonstrated. Moreover, emerging solutions and new technology to further enhance the reliability performance of the power electronics in PV applications will be also be covered in the lecture.

Day 1: Lecturer - Ariya
LL1 - Power electronics in PV application
LL2 - Failure and critical components in PV systems
LL3 - Reliability engineering for power electronics
LL4 - Mission profile-based reliability evaluation of PV inverters
Exercise 1 (Mission profile-based lifetime evaluation)

Day 2: Lecturer - Ariya

LL5 – System-level reliability analysis with Monte Carlo simulation
         Exercise 2 (System-level reliability assessment with Monte Carlo simulation)
LL6 - Impact of mission profile dynamics and thermal model
LL7 - Impact of PV module sizing and mission profile variations 
LL8 - Control for reliability of PV inverter
LL9 - Emerging Technologies and Trends
Wrap up & Continue exercise

Prerequisites:

·       Basic knowledge of power electronics circuit and electrical engineering

·       Basic knowledge of circuit simulation software, e.g., Matlab/Simulink, PLECS

Form of evaluation:

·       Report from the exercise session during the class

Course literature:

1.       Design for reliability of power electronic systems, Y Yang, H Wang, A Sangwongwanich, F Blaabjerg, Power electronics handbook, 1423-1440:
          
https://www.sciencedirect.com/science/article/pii/B9780128114070000519 

2.     Y. Yang, A. Sangwongwanich and F. Blaabjerg, "Design for reliability of power electronics for grid-connected photovoltaic systems," CPSS Trans. Power Electron.
        App.
, vol. 1, no. 1, pp. 92-103, Dec. 2016.

3.     P. D. Reigosa, H. Wang, Y. Yang and F. Blaabjerg, "Prediction of Bond Wire Fatigue of IGBTs in a PV Inverter Under a Long-Term Operation," in IEEE Transactions on
        Power Electronics, vol. 31, no. 10, pp. 7171-7182, Oct. 2016, doi: 10.1109/TPEL.2015.2509643.

4.       A. Sangwongwanich, Y. Yang, D. Sera and F. Blaabjerg, "Lifetime Evaluation of Grid-Connected PV Inverters Considering Panel Degradation Rates and Installation
         Sites," 
IEEE Trans. Power Electron., vol. 33, no. 2, pp. 1225-1236, Feb. 2018.

Organizer:     Prof. Frede Blaabjerg, fbl@energy.aau.dkAssistant Professor Ariya Sangwongwanich ars@energy.aau.dk,

Lecturers:      Assist. Prof. Ariya Sangwongwanich, Aalborg University

ECTS:               2

Date/Time:   08/06/2023 – 09/06/2023

Deadline        17 May

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: Modern power electric based power systems (PEPS) are facing new challenges in terms of reliable planning and operation due to proliferation of power electronic converters. The course is aimed at providing an in-depth introduction to the reliability modeling, assessment and enhancement approaches in PEPS. The basic principles of reliability evaluation along with their application, current practices and solution methods in PEPS will be discussed.

Benefits of Participants:

·       Understanding the fundamental of PEPS reliability engineering

·       Exposure to probabilistic technique applications to PEPS problems

·       Bridging the reliability concepts of power electronics and power systems  

Intended Audience:

·       Power engineers, graduate students and researchers in utilities and universities

The course will mainly cover the following aspects:

1.      Fundamental concepts of reliability Engineering

2.      Structural reliability and stress strength analysis

3.      Introduction to converter reliability prediction

4.      Impacts of converter control on PEPS reliability

5.      Reliability modeling in PEPS

6.      Model-based design for reliability in PEPS

7.      Model-based maintenance scheduling in PPES

8.      Reliability enhancement in PEPS

9.      Challenges and opportunities

June 26, 2023, 08.30-16.00

L0        Introduction to the reliability in PEPS (Saeed – 1.5h)

L1        Fundamental concepts of reliability Engineering (Saeed – 1.5h)

L2        Structural reliability and stress strength analysis (Saeed – 1.5h)

L3        Lab: reliability modelling in power converters using MATLAB (Saeed – 1.5h)

June 27, 2023, 08.30-16.00

L4        Introduction to converter reliability prediction (Saeed – 1.5h)

L5        Availability modelling in PEPS with non-constant components (Saeed – 1.5h)

L6        Reliability modelling in PEPS (Saeed – 1.5h)

L7        Lab: reliability modelling in PEPS using MATLAB (Saeed – 1.5h)

June 28, 2023, 08.30-16.00

L8        Impacts of converter control on PEPS reliability (Saeed – 1.5h)

L9        Model-based design for reliability in PEPS (Saeed – 1.5h)

L10     Model-based maintenance scheduling in PPES (Saeed – 1.5h)

L11     Lab: maintenance scheduling in PEPS using MATLAB (Saeed – 1.5h)

Prerequisites: Pre-reading the shared materials

Form of evaluation: The participants will be evaluated by two sets of exercises on the reliability of PEPS.

Course literature:

Slides of the course,

Papers:  

·       [1]S. Peyghami, F. Blaabjerg, and P. Palensky, “Incorporating Power Electronic Converters Reliability into Modern Power System Reliability Analysis,” IEEE J. Emerg.
        Sel. Top. Power Electron., vol. 9, no. 2, pp. 1668–1681, 2021.

·       [2]S. Peyghami and F. Blaabjerg, “Reliability / Cost-Based Power Routing InPower Electronic-Based Power Systems,” in IEEE ECCE, 2021, pp. 789–795.

·       [3]F. Blaabjerg and S. Peyghami, “Reliability of Modern Power Electronic Based Power Systems,” in 2021 23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe), 2021, p. P.1-P.10.

·       [4]S. Peyghami, F. Blaabjerg, J. R. Torres, and P. Palensky, “Maintenance Scheduling in Power Electronic Converters Considering Wear-out Failures,” in 2020 22nd
       European Conference on Power Electronics and Applications, EPE 2020 ECCE Europe, 2020, pp. 1–10.

·       [5]S. Peyghami, Z. Wang, and F. Blaabjerg, “A Guideline for Reliability Prediction in Power Electronic Converters,” IEEE Trans. Power Electron., vol. 35, no. 10, pp.
       10958–10968, 2020.

·       [6]S. Peyghami, P. Pakensky, F. Blaabjerg, P. Palensky, and F. Blaabjerg, “An Overview on the Reliability of Modern Power Electronic Based Power Systems,” IEEE
        Open J. Power Electron., vol. 1, pp. 34–50, Feb. 2020.

·       [7]S. Peyghami, P. Palensky, M. Fotuhi-Firuzabad, and F. Blaabjerg, “System-Level Design for Reliability and Maintenance Schedul- Ing in Modern Power Electronic
       -Based Power Systems,” IEEE Open Access J. Power Energy, vol. 7, pp. 414–429, 2020.

·       [8]S. Peyghami, M. Fotuhi-Firuzabad, and F. Blaabjerg, “Reliability Evaluation in Microgrids With Non-Exponential Failure Rates of Power Units,” IEEE Syst. J., vol. 14,
        no. 2, pp. 2861–2872, 2020.

·       [9]S. Peyghami and F. Blaabjerg, “Availability Modeling in Power Converters Considering Components Aging,” IEEE Trans. Energy Convers., vol. 35, no. 4, pp. 1981
        –1984, 2020.

Book:

·       [1]H. S. Chung, H. Wang, F. Blaabjerg, and M. Pecht, “Reliability of Power Electronic Converter Systems,” First Edi. London: IET, 2016.

·       [2]L. Wenyuan, “Risk Assessment of Power Systems: Models, Methods, and Applications,” Second Edi. New Jersey: John Wiley & Sons, 2014.

Organizers:   Assistant Professor, Saeed Peyghami sap@energy.aau.dk

Lecturers:      Saeed Peyghami, Assistant Professor, Aalborg University

ECTS:               3

Date/Time:   2023 June 26-28: 3-day lecture

Deadline         5 June

Place:              AAU Energy, Aalborg

Max no. of participants:  30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: The course will be the latest research outcomes of the Center of Reliable Power Electronics (CORPE). Since 2013, more than 250 participants from universities and companies have been trained in this 3-day course. By considering the feedbacks from participants and newly obtained research results from CORPE in the last few years, the 2023 version of the course will be 4 days focusing on failure mechanisms and degradation models of active power devices and capacitors, system-level reliability assessment and design tools, and reliability testing methods.

The course will have the following five main parts:

·       Introduction to modern reliability and robustness approach

·       Reliability testing methods and testing data analysis

·       Long-term wear out and single-event abnormal operation of active power modules and capacitors

·       Design tools and reliability analysis of power electronic systems

·       Condition monitoring and operation optimization of power electronic components and converters

 

Date and Time (local)

Course contents

Lecturers

 

Day 1

08:30 – 08:40

L0   Course introduction

Huai Wang

 

08:40 – 12:00

L1   Training in understanding Weibull

Exercises 1 - Basic concepts of statistics

L2   Introduction to modern reliability in Industry

Peter de Place Rimmen

 

12:00 – 13:00

Self-lunch

 

13:00 – 14:00

L3   Dialog examples 

Peter de Place Rimmen

 

14:00 – 16:30

L4   Reliability of active components

Francesco Iannuzzo

 

 

Day 2

08:30 – 12:00

L5   MCF curve, cost of poor reliability, robustness

L6   Lifetime budgets, degradation

Exercise 2 - Lifetime estimation using provided data

Peter de Place Rimmen

 

12:00 – 13:00

Self-lunch

 

13:00 – 15:30

L7   Reliability of passive components

Huai Wang

 

15:30 – 16:30

Lab 1 Non-destructive testing of active devices –Group A

Francesco Iannuzzo, Peng Xue

 

Lab 2 Degradation testing of capacitors –Group B

Huai Wang

 

Lab 3 Power cycling testing of IGBT modules –Group C

Dao Zhou

 

Day 3

08:30 – 12:00

L8   Reliability challenges in power electronics – from

        components to systems

L9  Thermal model simplification and converter-level

        thermal modeling

Huai Wang

 

12:00 – 13:00

Self-lunch

 

13:00 – 14:30

L10  An example of simplified system level reliability

          prediction  

Dao Zhou

 

14:30 – 16:30

Exercise 3 - Design of a PV inverter with 10 years of B1 lifetime (Class exercises based)

Dao Zhou, Ariya Sangwongwanich

 

Day 4

08:30 – 10:00

L11  Converter-level case study of MMC-reliability

        prediction and condition monitoring

Yi Zhang

 

10:00 – 11:00

L12  Converter-level condition monitoring methods

Huai Wang

 

11:00 – 12:00

Lab 1 Non-destructive testing of active devices–Group B

Francesco Iannuzzo, Peng Xue

 

Lab 2 Degradation testing of capacitors –Group C

Huai Wang

 

Lab 3 Power cycling testing of IGBT modules –Group A

Dao Zhou

 

12:00 – 13:00

Self-lunch

 

13:00 – 14:00

Lab 1 Non-destructive testing of active devices –Group C

Francesco Iannuzzo, Peng Xue

 

Lab 2 Degradation testing of capacitors –Group A

Huai Wang

 

Lab 3 Power cycling testing of IGBT modules –Group B

Dao Zhou

 

14:00 – 15:00

L13     Machine learning for PHM application

Shuai Zhao

 

15:00 – 15:20

Course wrap up and feedbacks from participants

Huai Wang

 

Prerequisites: 

Basic understanding of power electronics, power semiconductor devices, capacitors, and basic statistics. 

Form of evaluation: 

Case study exercise and report submission

Literature:

1.      Papers (about 10 papers, 100 pages)

2.      Laboratory introduction (three lab session introduction, 15 pages)

Organizer:     Professor Huai Wang, hwa@energy.aau.dk

Lecturers:      Reliability Consultant Peter de Place Rimmen, Denmark

Prof. Huai Wang, Aalborg University, Denmark

Prof. Francesco Iannuzzo, Aalborg University, Denmark

Associate Prof. Dao Zhou, Aalborg University, Denmark

Assistant Prof. Ariya Sangwongwanich, Aalborg University, Denmark

Postdoc Yi Zhang, Aalborg University, Denmark

Postdoc Shuai Zhao, Aalborg University, Denmark

ECTS:               4

Date/Time:  December 11-14, 2023

Deadline       20 November

Place:              AAU Energy, Aalborg

Max no. of participants: 40

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

DescriptionElectric power utilities are facing new challenges and problems in the changing utility environment. The course is aimed at providing an in depth introduction to the range of probabilistic aspects used in the assessment of electric power system reliability. The basic principles of reliability evaluation along with their application, current practices and solution methods in generation, transmission and distribution systems will be discussed.

First day, 08.30-16.00

L0        Introduction to the course (Frede Blaabjerg ) (1 h)

L1        Reliability in power systems (Mahmud Fotuhi-Firuzabad) (1 h)

L2        Fundamental concepts of reliability Engineering (Mahmud Fotuhi-Firuzabad) (2 h)

L3        Fundamental concepts of power system reliability (Mahmud Fotuhi-Firuzabad) (1.5 h)

L4        System components and their outage models (Mahmud Fotuhi-Firuzabad) (2 h)

Second day, 08.30-16.00

L5        Techniques used in engineering system risk assessment (Mahmud Fotuhi-Firuzabad) (1.5 h)

L6        Basic concepts of adequacy and security in electric power systems (Mahmud Fotuhi-Firuzabad) (2 h)

Third day, 08.30-16.00

L7        Generating capacity reliability assessment (Mahmud Fotuhi-Firuzabad) (1.5 h)

L8        Composite generation and transmission system reliability evaluation (Mahmud Fotuhi-Firuzabad) (2 h)

L9        Application of risk evaluation in transmission developing planning, transmission operation planning (Mahmud Fotuhi-Firuzabad) (2 h)

L10     Power system reliability assessment including renewable sources (Mahmud Fotuhi-Firuzabad) (1.5 h)


Fourth day, 08.30-16.00

L11     Distribution system reliability evaluation (Mahmud Fotuhi-Firuzabad) (2 h)

L12     Substation and switching station reliability (Mahmud Fotuhi-Firuzabad) (2 h)

Fifth day, 08.30-16.00

L13     Reliability cost/worth analysis (Mahmud Fotuhi-Firuzabad) (1.5 h)

L14     Lab session 1: Reliability assessment in PV power plants with analytical method (Saeed Peyghami) (2 h)

L15     Lab session 2: Reliability assessment in PV power plants with monte carlo simulation method (Saeed Peyghami) (2 h)

 

PrerequisitesPre-reading the shared materials

 

Form of evaluationThe participants will be evaluated by 4 sets of exercises on the reliability of power systems.

 

Course literature:

Slides of the course,

Book:

L16    [1] R. Billinton and R. Allan, “Reliability Evaluation of Engineering Systems.” 1992.

L17    [2] R. Billinton, “Reliability Evaluation of Power Systems,” Second Edi., Plenum Press, 1984.

[3] W. Li “Risk assessment of power systems: models, methods, and applications,” Second Edi., John Wiley & Sons, 2014.

 

Biography of the lecturer:

M. Fotuhi-Firuzabad (IEEE Fellow, 2014) Obtained B.Sc. and M.Sc. Degrees in Electrical Engineering from Sharif University of Technology and Tehran University in 1986 and 1989 respectively and M.Sc. and Ph.D. Degrees in Electrical Engineering from the University of Saskatchewan, Canada, in 1993 and 1997 respectively. He is a professor of Electrical Engineering Department, Sharif University of Technology, Tehran, Iran. He is a member of center of excellence in power system control and management in the same department. His research interests include power system reliability, distributed renewable generation, demand response and smart grids. He is the recipient of several national and international awards including PMAPS International Society Merit Award for contributions of probabilistic methods applied to power Systems in 2016. Dr. Fotuhi-Firuzabad is a visiting professor at Aalto University. He serves as the Editor-In-Chief of the IEEE POWER ENGINEERING LETTERS and also Editor of Journal of Modern Power Systems and Clean Energy.

Organizer:     ProfFrede Blaabjerg fbl@energy.aau.dk

Assistant Prof. Saeed Peyghami sap@energy.aau.dk

Lecturers:      ProfMahmoud Fotuhi-Firuzabad, Department of Electrical Engineering, Sharif University of Technology

ProfFrede Blaabjerg fbl@energy.aau.dk

Assistant Prof. Saeed Peyghami sap@energy.aau.dk

ECTS:               5

Date/Time:  August 21 - 25  2023

Deadline       August 1


Place:              AAU Energy, Aalborg

Max no. of participants:  40

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: Microgrids as one of the main building blocks of the smart grids which facilitate implementation of many smart grid functions and services. It is expected that in a near future, smart grids shall emerge as well-planned plug-and-play integration of microgrids which interact through dedicated highways for exchanging commands, data, and power. Providing a high power quality for the customers is one of the main objectives in smart grids.

On the other hand, the proliferation of different nonlinear and single-phase loads in electrical systems has resulted in voltage harmonic and unbalance as two common power quality problems. In addition, harmonic resonances can be excited giving rise to significant increase of the voltage distortion. These phenomena can cause variety of problems such as protective relays malfunction, overheating of motors and transformers and failure of power factor correction capacitors. 

Day 1: Power Quality in Microgrids, Harmonic Compensation and Virtual Impedance Concept for PQ Improvement - Alexander Micallef (5h), Juan Vasquez (2h)

In this course, measurement, compensation and damping of the main power quality phenomena will be addressed through several control approaches. Both three-phase and single-phase voltage source inverters will be considered. The modelling and control of these power electronic converters are discussed and hierarchical (centralized and decentralized) control approaches are presented in order to enhance the voltage quality. As the synchronization system of power converters plays a key role in their performance in the presence of power quality problems, modelling, designing, and tuning of advanced synchronization systems, including phase-locked loops (PLLs), frequency-locked loops (FLLs), and open-loop synchronization systems, are also discussed. Several simulation exercises will be included in labs which cover about 50% of the course time

Day 2: Synchronization of Power Converters: Introduction, Design and Analysis - Saeed Golestan (6 hours)

 The lectures on day 3 are divided into four parts:

1.      The first part includes a general description of a standard PLL structure and its modeling, tuning and analyzing its key features, designing advanced PLLs and their
         modeling and tuning aspects for both single-phase and three-phase systems.

2.      The second part includes describing the historical developments of standard single-phase and three-phase FLLs, their modeling and tuning aspects, and extending their structures to deal with power quality problems.

3.      The third part includes describing key features of open-loop synchronization systems and presenting two general approaches for designing them.

4.      The last part includes a brief description of the dynamic interaction between the power converters and its synchronization system, and modeling and analyzing this interaction.

Prerequisites: MATLAB/Simulink SIMPowerSystem knowledge is recommended for the exercises.

Form of evaluation: The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through active participation in combination with delivery of exercises reports.

Related course literature

·       Micallef, M. Apap, C. S. Staines, and J. M. Guerrero, “Secondary control for reactive power sharing and voltage amplitude restoration in droop‐controlled islanded
        microgrids,” in 2012 3rd IEEE PEDG, pp. 492‐498, 2012.

·       Micallef, M. Apap, C. Spiteri‐Staines, J. M. Guerrero, and J. C. Vasquez, “Reactive Power Sharing and Voltage Harmonic Distortion Compensation of Droop
        Controlled Single Phase Islanded Microgrids,” IEEE Trans. Smart Grid, vol. 5, no. 3, pp. 1149‐1158, May 2014.

·       Micallef, M. Apap, C. Spiteri‐Staines and J. M. Guerrero, “Single‐Phase Microgrid With Seamless Transition Capabilities Between Modes of Operation,” IEEE Trans.
        Smart Grid, vol. 6, no. 6, pp. 2736‐2745, Oct 2015.

·       Micallef, M. Apap, C. Spiteri‐Staines and J. M. Guerrero, “Mitigation of Harmonics in Grid‐ Connected and Islanded Microgrids via Virtual Admittances and
        Impedances', IEEE Trans. Smart Grid. 2018

·       Micallef, “A Review of the Current Challenges and Methods to Mitigate Power Quality Issues in Single‐Phase Microgrids”, IET Generation Transmission &
        Distribution,2018.

·       R. Tonkoski et al., “Coordinated Active Power Curtailment of Grid Connected PV Inverters for Overvoltage Prevention”, IEEE Trans. Sustainable Energy, vol. 2, no. 2,
        Apr. 2011

·       Hui et al., “Electric Springs ‐ A New Smart Grid Technology”, IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1552‐1561, Sept. 2012

·       Micallef and C. Spiteri‐Staines, “Voltage rise mitigation and low voltage ride through capabilities for grid‐connected low voltage microgrids”, 19th European Conf.
        on Power Electr. and App. (EPE'17), 2017

General understanding of PLLs and their state of the art

·       S. Golestan, J. M. Guerrero and J. C. Vasquez, "Three-Phase PLLs: A Review of Recent Advances," in IEEE Transactions on Power Electronics, vol. 32, no. 3, pp. 1894
        -1907, March 2017, doi: 10.1109/TPEL.2016.2565642.

·       S. Golestan, J. M. Guerrero and J. C. Vasquez, "Single-Phase PLLs: A Review of Recent Advances," in IEEE Transactions on Power Electronics, vol. 32, no. 12, pp. 9013
       -9030, Dec. 2017, doi: 10.1109/TPEL.2017.2653861.

General understanding of FLLs and their state of the art

·       S. Golestan, J. M. Guerrero, J. C. Vasquez, A. M. Abusorrah and Y. Al-Turki, "A Study on Three-Phase FLLs," in IEEE Transactions on Power Electronics, vol. 34, no. 1,
       pp. 213-224, Jan. 2019, doi: 10.1109/TPEL.2018.2826068.

·       S. Golestan, J. M. Guerrero, F. Musavi and J. C. Vasquez, "Single-Phase Frequency-Locked Loops: A Comprehensive Review," in IEEE Transactions on Power
       Electronics, vol. 34, no. 12, pp. 11791-11812, Dec. 2019, doi: 10.1109/TPEL.2019.2910247.

Open‐loop synchronization systems and their state of the art

·       S. Golestan, J. M. Guerrero, Y. Al-Turki, A. M. Abusorrah and J. C. Vasquez, "Open-Loop Synchronization Systems for Grid-Tied Power Converters: Literature
       Overview, Design Considerations, Advantages, and Disadvantages," in IEEE Industrial Electronics Magazine, doi: 10.1109/MIE.2021.3126255.

·       S. Golestan, A. Vidal, A. G. Yepes, J. M. Guerrero, J. C. Vasquez and J. Doval-Gandoy, "A True Open-Loop Synchronization Technique," in IEEE Transactions on
         Industrial Informatics, vol. 12, no. 3, pp. 1093-1103, June 2016, doi: 10.1109/TII.2016.2550017.

·       S. Golestan, J. M. Guerrero and J. C. Vasquez, "An Open-Loop Grid Synchronization Approach for Single- Phase Applications," in IEEE Transactions on Power
        Electronics, vol. 33, no. 7, pp. 5548-5555, July 2018, doi: 10.1109/TPEL.2017.2782622.

Modeling, Analyzing, and Designing Synchronization Techniques for Power Converters

·       S. Golestan, A. Akhavan, J. M. Guerrero, A. M. Abusorrah, M. J. H. Rawa and J. C. Vasquez, "In-Loop Filters and Prefilters in Phase-Locked Loop Systems: Equivalent
        or Different Solutions?," in IEEE Industrial Electronics Magazine, doi: 10.1109/MIE.2021.3121652.

·       D. Dong, B. Wen, D. Boroyevich, P. Mattavelli and Y. Xue, "Analysis of Phase-Locked Loop Low-Frequency Stability in Three-Phase Grid-Connected Power
        Converters Considering Impedance Interactions," in IEEE Transactions on Industrial Electronics, vol. 62, no. 1, pp. 310-321, Jan. 2015, doi:  0.1109/TIE.2014.2334665.

Laboratory introduction handbook (provided via Moodle)

Organizer:     Professor Josep M. Guerrero joz@energy.aau.dk

Professor, Juan C. Vasquez juq@energy.aau.dk

Lecturers:      Associate Professor Alexander Micallef (University of Malta)

Associate Professor Saeed Golestan, Aalborg University

Professor Josep M. Guerrero, Aalborg University

Professor Juan C. Vasquez, Aalborg University

ECTS:               2

Date/Time:   April 24 – 25, 2023

Deadline        April 3

Place:              AAU Energy, Aalborg

Max no. of participants: 20

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:   The course was initiated in 2020 aiming to lay a solid foundation in power electronics could be beneficial to them independent of which power electronic topics they are working on, which provides also a wider scope of power electronics besides their specific research topics. It will have in-depth introduction of circuit theories, modeling methods, and hands-on prototyping of power electronic converters. The emphasis is on those aspects that are generic and not limited to specific applications.  Moreover, a design case study will be used during the entire course for illustrating how to implement a converter prototype step-by-step, from component sizing, circuit design, control, simulation, prototyping, and testing.  PCB assemblies will be available for the participants to perform laboratory testing. 

Day 1: Power electronic circuit theories (Lecturer: Huai Wang, 8:30-16:30)

It will cover the topics: duality in time and circuit elements, state-plane switching trajectories; inductor-capacitor based switching circuits, switched-capacitor circuits, switched-inductor circuits, zero-ripple techniques, interleaved techniques, extra element theorem, circuit operation-mode analysis, etc.

Day 2: Power electronic modeling and control methods (Lecturer: Subham Sahoo, Ariya Sangwongwanich, 8:30-16:30)

It will cover the topics: how a “switch” can be removed for converter modeling; origins of time-domain and frequency-domain modeling methods and its limitations; basic ideas of time-domain control methods for power electronic converters and its advantages and limitations; most widely used frequency-domain control methods for power electronic converters.  Examples in DC-DC converters and inverters will be used. 

Day 3: Power electronic converter prototyping and testing (Lecturer: Zhongting Tang, and Yi Zhang, Subham Sahoo, and Ariya Sangwongwanich, 8:30-16:00)

This is a design case for actual prototype implementation and testing. It will cover the topics: PCB design techniques and considerations; participants make their own magnetics and be given PCB assemblies; run tests in the lab)

Day 4: Practical power electronic components (Lecturer: Huai Wang, and Yi Zhang, 8:30-16:30)

It will cover the topics: power semiconductor modeling and simulation methods, magnetic diffusion, core losses, winding losses, high-frequency magnetics, integrated magnetics, and magnetic circuit representation, design considerations, etc.

Prerequisites:   A basic understanding of power electronic components, topologies, and control methods are necessary, the participants are supposed to have already attended a master-level power electronic course or equivalent.  

Form of evaluation:   Case study exercise and lab testing report submission

Literature:

Papers (about 20 papers, 200 pages)

Organizer:     Professor Huai Wang, hwa@energy.aau.dk

Lecturers:      Professor Huai Wang, AAU Energy

Assistant Professor Subham Sahoo, AAU Energy

Postdoc Zhongting Tang, AAU Energy

Guest Postdoc Yi Zhang, AAU Energy

Assistant Professor Ariya Sangwongwanich, AAU Energy

ECTS:               4

Date/Time:   December 5 - 8, 2023

Deadline:        November 14, 2023

Place:              AAU EnergyAalborg

Max no. of participants: 40

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

DescriptionThe objective of this course is to give an understanding of the operation, design and control of Photovoltaic Power Systems, and to provide insight into some of the key challenges for higher penetration of photovoltaic energy into the electricity network. The target audience is PhD students and practicing engineers but also researchers who aim to receive a comprehensive overview of modern photovoltaic systems. The course is structured in four days, covering topics from PV panels through power electronics and their control to PV plant design and grid integration challenges. The mornings are dedicated to lectures, while the afternoons are spent with exercises. No less than 40% of the course time is spent in the state‐of‐the‐art Photovoltaic Systems laboratory at the Department of Energy Technology, Aalborg University. The participants will make design, simulations, and experimental tests, using the following advanced setups:

·       Grid‐connected PV inverter systems, with real‐time control using dSpace® platform.

The participants will be able to design, experimentally test, and tune parameters of grid controllers, PLL, voltage support, using the real‐time graphical user interface Control Desk®

·       Real‐time simulation platform on dSpace® system, to design and analyse PLL MPPT

·       High performance Spi‐Sun 5600 SLP Solar simulator from Spire. Demonstration of PV

·       panel measurements and characterisations will be provided

·       Detailed Simulink®, PLECS® and Matlab® GUI models for designing and analysing PV

·       inverter topologies, grid synchronisation and PV array modelling

·       PVSyst Software platform for designing PV plants.

Selected simulation models will be included in the course material for the participants.

The mornings are dedicated to lectures, while the afternoons are spent with off‐line application examples and exercises in Matlab/Simulink, and laboratory exercises focusing on Real Time implementation, where the students will apply the models and methodology in practice.


 

Day 1: PV panels and arrays (TAK, SSP)

·       L1A2 ‐ PV Systems Overview, Technology & Trends

·       L1B – Photovoltaic panels and systems – performance

·       L1C– PV systems Modelling

·       E1D1 – PV Modelling (SIM – Matlab GUI)

·       E1D2 – Spire Demo (EXP – Spi‐Sun 5600SLP)

Day 2: PV inverters (TAK)

·       L2A – PV Inverters Structures, Topologies and Filter Design

·       L2B – Inverter Control & Harmonic Compensation

·       E2C1 – Converter Topologies (SIM ‐ PLECS)

·       E2D1 – Current Control Design (SIM ‐ MATLAB)

·       E2D2 ‐ Current Control (EXP dSPACE)

Day 3: Grid interaction (ARS, FI, TAK)

·       L3A – Maximum Power Point Tracking

·       L3B – MV Grid Requirements & Support with PV inverters

·       E3C – MPPT (SIM ‐ dSPACE)

·       E3D – Control of PV Inverters under Grid faults (SIM dSPACE)

Day 4: PV plants and Grid integration (FI, TAK)

·       L4A1 – Grid Synchronization

·       L4A2 – Design of PV Plants

·       L4B1 ‐ LV Grid Connection & Support Requirements

·       L4B2 – Grid Support in LV network with PV inverters

·       E4C1 – PLL (SIM ‐ dSPACE)

·       E4C2 ‐ Design of PV Plants (SIM)

·       E4D1 – Voltage Support (EXP)

Prerequisites:

A degree in electrical engineering or control engineering and Matlab/Simulink knowledge is

strongly recommended. The course language is English.

Form of evaluation:

The evaluation is assignment based. Every day the afternoon session is dedicated to laboratory

sessions, where the course participants will complete exercises based on the lectures from the

morning session. A report from each laboratory exercise (10 in total) is to be submitted (uploaded

to Moodle).

Passing the course requires completion of all lab exercises, as well as positive assessment of

the uploaded lab reports.

Course literature:

1. Presentations: 567 slides

2. Laboratory introduction: 61 pages

Organizer:     Associate Professor Tamas Kerekes, tak@energy.aau.dk

Lecturers:      Associate Professor Tamas Kerekes, Aalborg University

Associate Professor Florin Iov, Aalborg University

Associate Professor Sergiu Spataru, DTU

Assistant Professor Ariya Sangwongwanich, Aalborg University

ECTS:               4

Date/Time:   10-13 October 2023

Deadline 19  September 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 25

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: The course will provide training and education on the subject of new energy technology and energy systems, including the applications of optimisation methods and machine learning technology.

The Ph.D. course will include fundamental knowledge of energy sources, energy conversion systems, new energy technologies, multi energy system integration, transmission, and distribution.

Nuclear power and hydropower form the backbone of low-carbon electricity generation for many countries in the world, which provide almost three-quarters of global low-carbon generation. The course will also present the basics of nuclear energy systems in the context of low-carbon electricity generation. In particular, the problem of control of nuclear energy systems (fission and fusion reactors) with some examples coming from the industry and the research filed will be presented in more detail.

The basic techniques of analysis, operation, control methods for energy systems will be presented, including power system optimisation methods and the application of artificial intelligence machine learning methods. Some contents are based on up-to-date research results.

Day 1:

·       Overview of Energy Utilisations, Zhe Chen, 1.5 hours

·       Basics of energy conversion systems, Zhe Chen, 1.5 hours

·       Renewable Energy and Energy Storage Technologies, Zhe Chen, 1.5 hours

·       Renewable energy transmission: operation and control, Yanbo Wang, 1.5 hours

Day 2:

·       Basics of nuclear energy systems, Mauro Cappelli, 2 hours

·       Control of nuclear energy systems, Mauro Cappelli, 1.5 hours

·       Instrumentation and Control (I&C) Systems for Nuclear Applications, Mauro Cappelli, 1.5 hours

·       Principles of design of a central I&C System, Mauro Cappelli, 1 hours

Day 3:

·       Optimisation methods and power system optimal control, Zhe Chen, 1.5 hours

·       Energy system integration and Optimization, Zhe Chen, 1.5 hours

·       Machine learning applications in energy systems, PhD researcher 1, 1.5 hours

·       Discussion and Assignments,1.5 hours                  

Prerequisites:

General knowledge in electrical AC circuits and electrical power engineering, preferably background at the graduate level in power systems.

Form of evaluation:

Assignments to be completed, the reports to be submitted and evaluated after the course.

Course literature:

·       [1] Standard Handbook for Electrical Engineers, Seventeenth Edition ELECTRONICS. Santoso, Surya. Published by McGraw-Hill Education (2018). ISBN 10: 1259642585 .

·       [2] M. Cappelli (ed.), Instrumentation and Control Systems for Nuclear Power Plants, Woodhead Publishing Series in Energy, Elsevier, 2022, ISBN 9780081028360

·       [3] M. Cappelli, A. Bagnasco, J. Diaz, J. Sousa, F. Ambi, A. Campedrer, D. Liuzza, B. Carvalho, A. Ibarra, Status of the engineering design of the IFMIF-DONES Central Instrumentation and Control Systems, Fusion Engineering and Design, Vol. 170, 2021, 112674 (ISSN 0920-3796).

·       [4] Cappelli, M.Castillo–Toledo, B.Di Gennaro, S., Nonlinear Control of pressurized water reactors with uncertainties estimation via high order sliding mode, Journal of the Franklin Institute, 2021, 358(2), pp. 1308–1326.

·       [5] Jizhong Zhu, Optimization of Power System Operation, John Wiley & Sons, 27 Jan 2015

·       [6] Abualigah L, Zitar RA, Almotairi KH, Hussein AM, Abd Elaziz M, Nikoo MR, Gandomi AH. Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques. Energies. 2022; 15(2):578

·       [7] B. Gemmell, J. Dorn, D. Retzmann, and D. Soerangr, “Prospects of multilevel VSC technologies for power transmission,” 2008 IEEE/PES Transmission and Distribution Conference and Exposition, Chicago, IL, USA, 2008, pp. 1–16.

·       [8] H. Akagi, “Classification, Terminology, and Application of the Modular Multilevel Cascade Converter (MMCC),” IEEE Trans. Power Electron., vol. 26, no. 11, pp. 3119–3130, Nov. 2011.

·       [9] E. Solas, G. Abad, J. A. Barrena, S. Aurtenetxea, A. Carcar, and L. Zajac, “Modular Multilevel Converter With Different Submodule Concepts—Part I: Capacitor Voltage Balancing Method,” IEEE Trans. Ind. Electron., vol. 60, no. 10, pp. 4525–4535, Oct. 2013.

·       [10] T. Modeer, H. Nee, and S. Norrga, “Loss comparison of different sub-module implementations for modular multilevel converters in HVDC applications,” presented at the Proceedings of the 2011 14th European Conference on Power Electronics and Applications, Birmingham, 2011, pp. 1–7.

Organizer:     Professor Zhe Chen, zch@energy.aau.dk, Aalborg University

Lecturers:      Professor Zhe Che Aalborg University

Professor Mauro Cappelli (mauro.cappelli@enea.it)

Assistant Professor Yanbo Wang, Aalborg University

PhD researchers, Aalborg University

ECTS:               3

Date/Time:   14-16 February 2023/ 8:30-16:00

Deadline:       24 January 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: The course will provide training and education in the field of power system protection, in particular, the protection of modern power systems with large scale penetration of power electronic interfaced renewable energy based power plants and other power electronic systems.  Power electronic applications have brought many challenges to modern power systems, one significant aspect is power system protection, mainly due to the short circuit power changes and various control modes of power electronic converters. The course will describe the impacts in technical details and present some recent research results.

The main topics are as follows

·       Basics of power system fault analysis and protection

·       Fault characteristics of Power Electronic interfaced Renewable Power Plants (PERPP)

·       Impacts of PERPP on power system protection

·       Some Research activities on the protection of modern power systems

Day 1:

Overview of modern power system and protection (ZCH 1.0 hours)

Power system faults analysis (ZCH 1.5 hours)

Basics of Power system protection (ZCH 1.0 hours)

Fault characteristics of Power Electronic interfaced Renewable Power Plants (PERPP) (KMA 1.5 hours)

Impacts of PERPP on power system protection (1) (KMA 1.0 hours)

Day 2:

Impacts of PERPP on power system protection (2) (KMA 1.5 hours)

Possible protection solutions for PERPP based power systems (1) (KMA 1.5 hours)

Research topic on modern power system protection -1 (PhD researcher 1, 1.5 hours)

Possible protection solutions for PERPP based power systems (2) (KMA 1.5 hours)

Day 3:

Possible protection solutions for PERPP based power systems (3) (KMA 1.5 hours)

Research topic on modern power system protection -2 (PhD researcher 2, 1.5 hours)

Simulation and exercise ( KMA 2.0 hours)

Course assignments (KMA  0.5 hours)

Prerequisites: Preferably to have general knowledge in electrical engineering, especially, power system and power electronics

Form of evaluation: Assignments to be completed, the reports to be submitted and evaluated after the course.

Course literature

1.       Lecture presentations will be available

2.       Book chapters

o   Paul M. Anderson, “Power System Protection”

o   Gerhard Ziegler, Numerical distance protection—principle and application, 4th edition.

o   Ramesh Bansal, Power System Protection in Smart Grid Environment, © 2019 by Taylor & Francis Group, LLC.

3.       Papers

o   Y. Li, K. Jia, T. Bi, R. Yan, W. Li and B. Liu, "Analysis of line current differential protection considering inverter-interfaced renewable energy power plants," 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), pp. 1-6, 2017.

o   A. Banaiemoqadam, A. Hooshyar and M. A. Azzouz, "A Control-Based Solution for Distance Protection of Lines Connected to Converter-Interfaced Sources During Asymmetrical Faults," IEEE Transactions on Power Delivery, vol. 35, no. 3, pp. 1455-1466, Jun. 2020.

o   A. K. Pradhan and G. Joos, "Adaptive Distance Relay Setting for Lines Connecting Wind Farms," IEEE Transactions on Energy Conversion, vol. 22, no. 1, pp. 206-213, March 2007.

o   Kaiqi Ma. Advanced protection schemes of modern transmission grids with large-scale power electronics. (PhD thesis)

4.       Laboratory introduction

o   DIgSILENT UserManual

Organizer:     ProfZ. Chen, Professor, zch@energy.aau.dk

Lecturers:      Professor Zhe Chen, Aalborg University, Denmark

Post doc. Fellow Kaiqi MA, Aalborg University, Denmark

PhD researchers, Aalborg University, Denmark

ECTS:               2

Date/Time: : 1-3 February 2023 / 8:30-16:00

Deadline:        11 January 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: After more than four decades of development, Insulated Gate Bipolar Transistors (IGBTs) are widely used in many high-power industrial applications. However, the complex and harsh working conditions are demanding higher and higher reliability, reaching up to 30-year expected operating life. In parallel with IGBT modules, gate drivers have been also improved dramatically over the years, significantly contributing to reliability improvement. In fact, as an important interface between IGBT modules and controllers, modern gate drivers do not only provide optimal switching signals but also monitor the operation status of IGBT modules themselves. In particular, benefiting from the understanding of semiconductor behavior matured over the years, both wear status and abnormal events can be monitored and detected, respectively, thanks to modern IGBT gate driver technologies. This course presented an overview of state-of-the-art advanced gate driver techniques for enhancing the reliability of IGBT modules, hence power converters. The course contents can be summarized in general switching theory, modern gate driving strategies, active thermal control, detection, and protection methods.

The course will cover the following lectures:

Day 1 (F. Iannuzzo, 6 h)

L1: Basic IGBT gate driving concepts

(a)    Voltage-source gate drivers

(b)   Current-source gate drivers

(c)    Optimization and protection principles

L2: Fault detection and protection methods

(a)    Voltage and current overshoot

(b)   Overload and short circuit

(c)    Gate voltage limitation

Day 2 (F. Iannuzzo, 6 h)

L3: Active gating methods for enhancing switching characteristics

(a)    Closed-loop control methodology

(b)   Closed-loop control implementations

L4: Active thermal control methods using IGBT gate driver

(a)    Principles for thermal mitigation method

(b)   Thermal mitigation methods

(c)    Junction temperature estimation methods

Prerequisites:  basic knowledge of power device and power converter operation

Form of evaluation:  the participants will be grouped in teams of 4-5 people and asked to design an original gate driver for a given application. Students will be asked to give a brief presentation at the end of the course, with a final evaluation of the individual contribution.

 

Course literature:

slides from the lecturers

 

Organizer:     Prof. Francesco Iannuzzo, fia@energy.aau.dk

Lecturers:      Prof. Francesco Iannuzzo, Aalborg University

ECTS:             2

Date/time:    2 days, August 28-29, 2023, all days 8:30 – 16:30

Deadline        August 7

Place:            AAU Energy, Aalborg

Max. no. of participants: 15

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.



Description: Nowadays, an important kind of islanded microgrids can be found in maritime power systems. For example, under normal operating conditions, the ship power system can be considered as a typical isolated microgrid and its characteristics, including variable frequency, are matched to terrestrial islanded microgrids.

This course provides an overview of the present and future architectures of such microgrids, associated control technologies, optimization methods, power quality issues and state of the art solutions. The significant role of power electronics in realizing maritime microgrids, challenges in meeting high power requirements and regulations in the maritime industry, state-of-the-art power electronic technologies and future trend towards the use of medium voltage power converters in maritime microgrids are also presented in this course.

·       Day 1: Introduction on Electric Ships, power quality approaches and challenges

Josep M. Guerrero (4h), Abderezak Lashab (3h)

·       Day 2: DC shipboard microgrids: Evolution and Research

Josep M. Guerrero(4h), Abderezak Lashab (2h)

Prerequisites: The course exercises will be done via Matlab/Simulink simpowersytems.

Form of evaluation: The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports


 

Course literature

1.       z. jin, l. meng, j. m. guerrero and r. han, "hierarchical control design for a shipboard power system with dc distribution and energy storage aboard future more‐electric ships," in ieee transactions on industrial informatics, vol. 14, no. 2, pp. 703‐714, feb. 2018.

2.       c. ‐l. su, j. m. guerrero and s. ‐h. chen, "happiness is a hybrid ‐ electric: a diesel‐burning boat finds new life with a direct‐current microgrid," in ieee spectrum, vol. 56, no. 8, pp. 42‐ 47, aug. 2019.

3.       z. jin, g. sulligoi, r. cuzner, l. meng, j. c. vasquez and j. m. guerrero, "next‐generation shipboard dc power system: introduction smart grid and dc microgrid technologies into maritime electrical netowrks," in ieee electrification magazine, vol. 4, no. 2, pp. 45‐57, june 2016.

4.       w. liu et al., "power quality assessment in shipboard microgrids under unbalanced and harmonic ac bus voltage," in ieee transactions on industry applications, vol. 55, no. 1, pp. 765‐775, jan.‐feb. 2019.

5.       l. hong, q. xu, z. he, f. ma, a. luo and j. m. guerrero, "fault‐tolerant oriented hierarchical control and configuration of modular multilevel converter for shipboard mvdc system," in ieee transactions on industrial informatics, vol. 15, no. 8, pp. 4525‐4535, aug. 2019.

6.       x. zhaoxia, z. tianli, l. huaimin, j. m. guerrero, c. ‐l. su and j. c. vásquez, "coordinated control of a hybrid‐electric‐ferry shipboard microgrid," in ieee transactions on transportation electrification, vol. 5, no. 3, pp. 828‐839, sept. 2019.

7.       m. a. hassan et al., "dc shipboard microgrids with constant power loads: a review of advanced nonlinear control strategies and stabilization techniques," in ieee transactions on smart grid, 2022

8.       luona xu, et al, "a review of dc shipboard microgrids – part i: power architectures, energy storage and power converters," ieee transactions on power electronics, 2022.

9.       luona xu, et al, "a review of dc shipboard microgrids – part ii: control architectures, stability analysis and protection schemes," ieee transactions on power electronics, 2022.

10.   bakar, n. n. a., guerrero, j. m., c vasquez, j., bazmohammadi, n., othman, m., rasmussen, b. d., & al-turki, y. a. (2022). optimal configuration and sizing of seaport microgrids including renewable energy and cold ironing—the port of aalborg case study. energies, 15(2), 431.

11.   bakar, n. n. a., guerrero, j. m., vasquez, j. c., bazmohammadi, n., yu, y., abusorrah, a., & al-turki, y. a. (2021). a review of the conceptualization and operational management of seaport microgrids on the shore and seaside. energies, 14(23), 7941.

12.   ericsson, p. (2008). shore-side power supply-a feasibility study and a technical solution for an on-shore electrical infrastructure to supply vessels with electrical power while in port (master's thesis).

13.   “iec/ieee international standard - utility connections in port -- part 2: high and low voltage shore connection systems -- data communication for monitoring and contro,” iec/ieee 80005-2 ed. 1.0 2016-06, pp. 1–116, 2016, doi: doi: 10.1109/ieeestd.2016.7500035

14.   d. colarossi, g. lelow, and p. principi, “transportation research interdisciplinary perspectives local energy production scenarios for emissions reduction of pollutants in small-medium ports,” transp. res. interdiscip. perspect., vol. 13, p. 100554, 2022, doi: 10.1016/j.trip.2022.100554.

15.   y. peng, x. li, w. wang, k. liu, x. bing, and x. song, “a method for determining the required power capacity of an on-shore power system considering uncertainties of arriving ships,” sustain., vol. 10, no. 12, 2018, doi: 10.3390/su10124524.

16.   n. nikitakos and t. e. lilas, “shore side electricity and renewable energy potential at igoumenitsa port shore side electricity and renewable energy,” no. july 2017, 2015.

Organizers:   Professor Josep M. Guerrero, joz@energy.aau.dk

Professor Juan C. Vasquez, juq@energy.aau.dk

Lecturers:      Professor Josep M. Guerrero, Aalborg University
Postdoctoral Fellow, Abderezak Lashab, Aalborg University

ECTS:               2

Date/Time:   April 13 –14, 2023

Deadline        23 March

Place:              AAU Energy, Aalborg

Max no. of participants: 20

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

DescriptionMachine learning (ML) and advanced predictive statistical techniques are gaining widespread use in the field of electrical engineering as a whole, and for state-of-health modelling of Lithium-ion batteries in particular. The introduction of ML and statistics in electrical engineering is a consequence of the field slowly subsidising some of the more expensive laboratory testing by using data collected during real-life operating conditions. The upside of using ML and predictive statistics is that, in many instances, these methods can achieve an acceptable precision using a reduced amount of laboratory testing. However, it comes at the cost of added model complexity and the loss of some of the explanatory power when compared to the physics based state-of-health models.

This two-day course introduces key aspects of machine learning, predictive modelling, and model validation. Focusing on quantitative predictive models for Lithium-ion battery state-of-health modelling. The course will present an end-to-end framework from when data is gathered to a model has been created and put to use for state-of-health estimation. The models will include linear models, support vector regression, Gaussian process regression, and various neural network structures. The general aim of these methods is to predict capacity degradation based on a combination of laboratory and field data.

Exemplifications of some of the discussed topics will be made through exercises in R and Matlab.

Day 1: Lithium-ion batteries and ML-based feature extraction and reduction. Daniel-Ioan Stroe and Søren B. Vilsen; 7.4 hours

-          Introduction to lithium-ion batteries and battery performance parameters for SOH

-          Overview of machine learning methods, the bias-variance trade-off, and cross-validation.

-          Feature extraction (manual extraction).

-          Feature reduction through principal components analysis and multi-dimensional scaling.

Day 2: Machine Learning for battery SOH estimation. Daniel-Ioan Stroe and Søren B. Vilsen; 7.4 hours

-          Linear models, and shrinkage methods.

-          Kernel methods such as support vector regression and Gaussian process regression.

-          Neural networks with a short introduction to DNN and RNN.

-          Automatic feature extraction and reduction by using neural networks.

Prerequisites:

Fundamental understanding of probability and statistics is recommended. Furthermore, basic knowledge of either R, Matlab, or python is strongly recommended.

Form of evaluation:

Students are expected to solve several exercises and deliver an individual report with solutions and comments.

Course literature:

X. Sui, S. He, S. B. Vilsen, J. Meng, R. Teodorescu, D.-I. Stroe, “A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery,” Applied Energy, Volume 300, 2021, 117346, https://doi.org/10.1016/j.apenergy.2021.117346.

1.       S. B. Vilsen and D. -I. Stroe, "Transfer Learning for Adapting Battery State-of-Health Estimation From Laboratory to Field Operation," in IEEE Access, vol. 10, pp. 26514-26528, 2022, doi: 10.1109/ACCESS.2022.3156657.

2.       Kevin P. Murphy, “Probabilistic Machine Learning: An Introduction,” The MIT Press, 2022

3.       T. Hastie, R. Tibshirani, J. Friedman, ”The Elements of Statistical Learning,” Springer Series in Statistics, 2nd edition, 2017

A complete list of references will be available one week prior to the course.

Organiser:     Associate Professor Daniel-Ioan Stroe, dis@energy.aau.dk   

Lecturers:      Assistant Prof. Søren B. Vilsen (AAU-MATH)

Associate Professor, Daniel-Ioan Stroe (AAU-Energy)

ECTS:               2

Date/Time:   22-23 May 2023

Deadline        1 May 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: Low energy harvesting mechanisms are unique opportunities to provide source of electrical energy for autonomous sensors for predictive maintenance applications, self-powered and wireless micro-actuators, monitoring devices for health care, energy hubs, Internet of Things (IoT)-enabled energy networks etc. This PhD course handles the fundamentals of energy harvesting technologies such as thermoelectric, piezoelectric, and electromagnetic devices by introducing recent development techniques and detailed module design. This course will continue with integration principles of the energy harvester modules with the system components to enhance output power performance of the modules. Furthermore, control of electrical output of the devices will be discussed for maximum power point tracking by power electronic converting methods. This course also addresses recent applications of such energy harvesting mechanisms with introducing opportunities, challenges and relevant applications in renewable energy IoT industries.

Day 1:

Morning: Thermoelectric generator model and module design; Alireza Rezaniakolaei (3 hours)

-          The lectures cover history of thermoelectrics, typical thermoelectric systems, basic arrangement & characterizing quantities, challenges for thermoelectrics, contact resistance, effect of geometry and inter-leg heat transfer.

Afternoon: Electromagnetic energy harvesters; Kaiyuan Lu (3 hours)

-          The lectures cover the state-of-the-art designs of electromagnetic energy harvesters, typical design principle, device modelling, characterizing quantities, performance improvement challenges etc.

Day 2:

Morning: Integration of heat exchangers with thermoelectric modules; Alireza Rezaniakolaei (3 hours)

-          The lectures cover coupled thermoelectric device/thermal system design, high performance cooling technologies, cooling energy vs. power generation, integrated model of thermoelectric & heat sinks.

Afternoon: MPPT and power electronic converters; Erik Schaltz (3 hours)

-          The lectures covert thermoelectric generators modelling from power electronics point of view. Fundamentals of Power Electronics, power electronic converters for energy harvester device and maximum power point tracking (MPPT) algorithms for the device will be discussed.

Day 3:

Applications for thermoelectric energy harvesting; Alireza Rezaniakolaei (1:30 hours)

-          The lectures cover integration of the thermoelectric generation with solar power systems and autonomous sensor platforms

Piezoelectric energy harvesting, model, design and applications; Majid Khazaee (2 hours)

-          The lecture does cover basics about piezoelectric materials and material properties.

-          Presenting the different applications of the piezoelectric energy harvesters.

-          Modeling techniques for piezoelectric beams and characteristics of the power output from piezoelectric beams.

IoT applications for low power energy harvesting; Amjad Anvari-Moghaddam (2 hours)

-           The lecture covers a background on IOT definitions and edge devices, energy harvesting technologies and its requirements IoT applications.

Prerequisites: No

Form of evaluation: Completion of design and metaphysics simulation of a form of the energy harvesting mechanisms or power output management of the chosen energy harvesting technology in the selective list of the tasks. The assignment will be done in groups and each group must submit the final report.

Course literature:

-          Presentations

Organizer:     Associate Professor, Alireza Rezaniakolaei, alr@energy.aau.dk

Lecturers:      Associate Professor, Alireza Rezaniakolaei (ALR), Aalborg University

Associate Professor, Kaiyuan Lu (KLU), Aalborg University

Associate Professor, Amjad Anvari-Moghaddam (AAM), Aalborg University

Associate Professor, Erik Schaltz (ESC), Aalborg University

Guest researcher, Majid Khazaee (MAD)Aalborg University

ECTS:               2.5

Date/Time:   27-28 November 2023 (tentative)

Deadline:       6 November 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 25

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:  Lithium-ion batteries have become a key technology in our daily routine, from powering our portable electronics devices and electric vehicles to offering grid support and playing a crucial role in the reliable and cost-efficient grid integration of intermittent energy sources.

The objective of this two-day course is to provide the attendees with an extensive overview of Lithium-ion battery applications, such as EVs, grid support, nanosatellites or hybrid charging stations. Battery requirements for these applications as well as Li-ion batteries operation (power and energy management & mission profiles) in these applications will be thoroughly discussed. All the applications require power electronics solutions (e.g., BMS, chargers, power converters etc.) in order to assure Li-ion battery pack safety, high efficiency, and reliable operation. Power electronics play three important roles in tattery applications: charge/discharge management, battery cell balancing, and safety protection. In consequence, this course will provide extensive state-of-the-art on power electronics solutions with a special emphasis on battery management systems

Exemplifications of some of the discussed topics will be made through exercises in Matlab/Simulink.

Day 1: Lithium-ion Battery Applications. Daniel-Ioan Stroe, Vaclav Knap, and Florin Iov; 7.4 hours

-          Overview of Lithium-ion batteries applications

-          Operation and performance of Lithium-ion batteries in space applications

-          Battery chargers and Hybrid charging stations

Day 2: Lithium-ion Battery Lifetime and State Estimation. Maciej Swierczynski and Erik Schaltz; 7.4 hours

-          Battery Management Systems (BMSs)

-          Lithium-ion batteries in residential applications

-          Lithium-ion batteries operation in electric vehicles

Prerequisites: Basic electrical engineering knowledge and basic experience with MATLAB/Simulink.

Form of evaluation: Written individual report with solutions and comments for exercises, which will be introduced during the course.

Course literature:

1.       J. V. Barreras, “Practical Methods in Li-ion Batteries,” Ph.D. dissertation, Aalborg University, 2017

2.       J. Guo, Y. Li, K. Pedersen, D.-I. Stroe, ”Lithium-Ion Battery Operation, Degradation, and Aging Mechanism in Electric Vehicles: An Overview,” Energies 2021, 14, 5220. https://doi.org/10.3390/en14175220

3.       M. Swierczynski, D. -I. Stroe, A. -I. Stan, R. Teodorescu, R. Lærke and P. C. Kjær, "Field tests experience from 1.6MW/400kWh Li-ion battery energy storage system providing primary frequency regulation service," IEEE PES ISGT Europe 2013, 2013, pp. 1-5, doi: 10.1109/ISGTEurope.2013.6695277.

4.       V. Knap, L. K. Vestergaard LK, and D.-I. Stroe, “A Review of Battery Technology in CubeSats and Small Satellite Solutions”. Energies. 2020; 13(16):4097. https://doi.org/10.3390/en13164097

5.       V. Knap, S. Beczkowski, L. K. Vestergaard and D. -I. Stroe, "Battery Current and Temperature Mission Profiles for CubeSats at Low Earth Orbit," in IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 5, pp. 4656-4668, Oct. 2022, doi: 10.1109/TAES.2022.3164867.  

 

A complete list of references will be available one week prior to the course.

Organiser:     Associate Professor Daniel-Ioan Stroe, dis@energy.aau.dk   

Lecturers:      Assoc. Prof. Daniel-Ioan Stroe, AAU Energy

Assoc. Prof. Erik Schaltz, AAU Energy

Assoc. Prof. Florin Iov, AAU Energy

Postdoc Vaclav Knap (Czech Technical University in Prague, Czech Republic)

Dr. Maciej Swierczynski (Xolta Energy Storage Systems, Denmark)

ECTS:               2

Date/Time:   16-17 November 2023

Deadline:        26 October 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 25

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Description: Lithium-ion batteries have become the key energy storage technologies for various applications, such as electric vehicles, smart grids, or for enhancing renewables’ grid integration. This has become possible due to their superior characteristics in terms of gravimetric and volumetric energy density, efficiency, lifetime etc. Nevertheless, Lithium-ion batteries are highly non-linear energy storage devices with their performance and degradation (lifetime) behavior strongly influenced by the operating conditions (e.g., temperature, load current, number of cycles, idling time etc.). Therefore, to benefit from Lithium-ion batteries’ characteristics, precise knowledge about the performance and degradation behavior must be known at all moments during the lifetime.

This three-day course aims to provide an overview of the status of Lithium-ion batteries’ fundamentals and a deep understanding of their performance and degradation behavior. Different methods for battery performance (electrical) and degradation (lifetime) modeling will be introduced together with suitable parametrization approaches (from datasheet to laboratory experiments), respectively. These models will be subsequently used to introduce various Li-ion battery state-of-charge (SOC) and state-of health (SOH) estimation techniques.

Exemplifications of some of the discussed topics will be made through exercises in Matlab/Simulink.

Day 1: Lithium-ion Battery Fundamentals and Performance. Daniel-Ioan Stroe; 7.4 hours

-          Overview of energy storage technologies

-          Lithium-ion batteries fundamentals (chemistries, design, construction, operation etc.)

-          Performance behavior of Lithium-ion batteries (performance parameters and their dependence on the battery operation)

Day 2: Electrical Modeling of Lithium-ion Batteries. Daniel-Ioan Stroe and Vaclav Knap; 7.4 hours

-          Battery testing procedures for performance (electrical) and lifetime modeling

-          Battery performance modeling approaches

-          Parametrization of electrical equivalent circuit models (impedance- and DC pulse-based)

Day 3: Lithium-ion Battery Lifetime and State Estimation. Daniel-Ioan Stroe, Vaclav Knap, and Erik Schaltz; 7.4 hours

-          Performance-degradation behavior of Lithium-ion batteries

-          Battery lifetime modeling

-          State-of-charge (SOC) estimation models and examples

-          State-of-health (SOH) estimation models and examples

Prerequisites: Basic electrical engineering knowledge and basic experience with MATLAB/Simulink.

Form of evaluation: Written individual report with solutions and comments for three exercises, which will be introduced during the course.

Course literature

1.       Linden’s Handbook of Batteries, 5th edition, McGraw Hill (editor: Kirby Beard) – chapter 17

2.       D.-I. Stroe, M. Swierczynski, A.-I. Stroe, S. K. Kær, “Generalized Characterization Methodology for Performance Modelling of Lithium-Ion Batteries,” Batteries 2016, 2, 37. https://doi.org/10.3390/batteries2040037

3.       D.-I. Stroe, M. Świerczyński, A. -I. Stan, R. Teodorescu and S. J. Andreasen, "Accelerated Lifetime Testing Methodology for Lifetime Estimation of Lithium-Ion Batteries Used in Augmented Wind Power Plants," in IEEE Transactions on Industry Applications, vol. 50, no. 6, pp. 4006-4017, Nov.-Dec. 2014, doi: 10.1109/TIA.2014.2321028.

4.       X. Sui, S. He, S. B. Vilsen, J. Meng, R. Teodorescu, D.-I. Stroe, “A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery,” Applied Energy, Volume 300, 2021, 117346, https://doi.org/10.1016/j.apenergy.2021.117346.

A complete list of references will be available one week prior to the course.

Organizer:     Associate Professor Daniel-Ioan Stroe, dis@energy.aau.dk   

Lecturers:      Assoc. Prof. Daniel-Ioan Stroe, AAU Energy

Assoc. Prof. Erik Schaltz, AAU Energy

Postdoc Vaclav Knap (Czech Technical University in Prague, Czech Republic)

ECTS:               2

Date/Time:   13-15 November 2023

Deadline         23 October

Place:              AAU Energy, Aalborg

Max no. of participants: 25

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Maybe you also are interested in the course "Lithium-Ion Batteries. Systems and Applications"


Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:

The course will provide training and education in the field of wind power engineering, including general knowledge of wind turbine systems, mainly covering the electrical aspects of wind turbine systems, including electrical machines, power electronics and power systems, etc.

The PhD course will include basic knowledge of wind turbine systems, as well as electrical systems of wind power systems, and operation and control of wind power systems.

Some of the course contents are based on recently obtained research results.

The main topics are as follows:

·       Overview of wind power development

·       Wind energy and wind turbine systems

·       Wind power generators

·       Configuration and control of power electronic conversion system for wind energy conversion system

·       Operation and control of wind turbines and wind farms

·       Offshore wind power system

·       Wind power plant design and optimisation

·       Transmission system for offshore wind power plants

·       Wind power integration to power grid

·       Stability modelling and analysis of wind power system

Day 1:

Overview of energy system and wind power development (ZCH 1.5hours)

Basics of wind energy conversion systems (ZCH 1.5hours)

Drive train, generators, power electronics (1) (YWA 1.5hours)

Drive train, generators, power electronics (2) (YWA 1.2hours)

Day 2:

Drive train, generators, power electronics (3) (YWA 1.5hours)

Wind turbine systems (ZCH 1.5hours)

Wind turbine control and optimization (ZCH 1.5hours)

Transmission system for offshore wind farms (YWA 1.5hours)

Day 3:

Grid code and power quality (ZCH 1.5hours)

Wind power impacts on power system operation (ZCH 1.5hours)

Wind power impacts on power system stability (1) (YWA 1.5hours)

Wind power impacts on power system stability (2) (YWA 1.2hours)

Day 4:

Offshore wind farms and optimization of wind farms (ZCH 1.5hours)

Wind power impacts on power system protection (KMA 1.5hours)

Simulation analysis and practice (YWA 1.5hours)

Discussion / Homework (ZCH 0.5hours)

Prerequisites:

Preferably to have general knowledge in electrical engineering.

Form of evaluation:

Assignments are to be completed, the reports are to be submitted and evaluated after the class

Course literature

·       [1] “Wind Energy Systems, Optimising design and construction for safe and reliable operation”, Edited by John D. Sørensen and Jens N. Sørensen, Woodhead Publishing Ltd. 2011, ISBN: 978-1-84569-580-4.

·       [2] “Direct-Drive Wind and Marine Energy Systems”, Edited by Markus Mueller, Woodhead Publishing Ltd. 2013

·       [3] Chen, Z. Infield, D., Hatziargyriou, N. " Wind Power Generation", in McGraw-Hill's Standard Handbook for Electrical Engineers 17th edition.2018

·       [4] Ackermann, Thomas, ed. Wind power in power systems. John Wiley & Sons, 2012.

·       [5] GE company, ‘‘Dynamic modeling of GE 1.5 and 3.6 wind turbine-generators’’, 2003.

·       [6] Tong, Wei. Wind power generation and wind turbine design. WIT press, 2010.

Organizer:     Z. Chen, Professor, zch@energy.aau.dk, Aalborg University, Denmark

Lecturers:      Professor Zhe Chen, Aalborg University, Denmark

Assistant Professor Yanbo Wang, Aalborg University, Denmark

Post doc. Fellow Kaiqi MA, Aalborg University, Denmark

ECTS:               4

Date/Time:   27 February – 2 March 2023 / 8:30-16:00

Deadline:       6 February 2023

Place:              AAU Energy, Aalborg

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: The course will provide training and education in the field of stability theory, stability of modern electric power systems with synchronous generators, power electronics-interfaced renewable generators, and other power electronic systems, such as HVDC and Flexible ac transmission systems (FACTs).

The PhD course will cover basic knowledge of stability theory, electrical power system stability, impacts of power electronic conversion system, electrical machines and renewable energy generators on the system stability, especially, the stability under the large scale integration of renewable generators and significant reduction of conventional synchronous generators.

Some of the course contents are based on recently obtained research results

The main topics are as follows:

·       Overview of power system stability and classification

·       Basics of stability theory

·       Angle stability

·       Frequency stability of power systems

·       Voltage  stability of power systems

·       Multi-time scale and quasi steady state simulation

·       Frequency response and regulation of renewable energy plants

·       Small signal stability and analysis method

·       Large signal stability and analysis method

·       Sub-synchronous oscillation

·       Stability of power electronic dominated power systems

·       Day 1:

Overview of power system stability and classification (ZCH)  (1.5h)

Basics of power system stability (ZCH)  (1.5h)

Concept and methodology of stability (YWA)  (1.5h)

Small signal stability and large signal stability (YWA) (1.5h)

·       Day 2:

Power system angle stability (ZCH)  (1.5h)

Voltage stability and response dynamics (ZCH)  (1.5h)

Frequency stability and frequency regulation method (YWA) (1.5h)

Large signal stability and analysis method (YWA) (1.5h)

·       Day 3:

New emerging stability issues in inverter-fed power system – Part I (YWA) (1.5h)

New emerging stability issues in inverter-fed power system – Part II (YWA) (1 h)

Machining learning-driven stability assessment (YWA) (0.5 h)

Demonstration and practice in Digsilent or RTDS  (KMA)  (2.5h)

Prerequisites: Preferably to have general knowledge in electrical engineering.

Form of evaluation: Assignments to be completed, the reports are to be submitted and evaluated after the class

Course literature

[1] Bhatia, Nam Parshad, and Giorgio P. Szegö. Stability theory of dynamical systems. Springer Science & Business Media, 2002.

[2] Khalil, Hassan K. "Nonlinear systems third edition." Patience Hall 115 (2002).

[3] Kundur, Prabha S., and Om P. Malik. Power system stability and control. McGraw-Hill Education, 2022.

[4] Machowski, Jan, et al. Power system dynamics: stability and control. John Wiley & Sons, 2020.

[5] N. Hatziargyriou et al., "Definition and Classification of Power System Stability – Revisited & Extended," in IEEE Transactions on Power Systems, vol. 36, no. 4, pp. 3271-3281, July 2021, doi: 10.1109/TPWRS.2020.3041774.

[6] P. W. Sauer, "Time-scale features and their applications in electric power system dynamic modeling and analysis," Proceedings of the 2011 American Control Conference, San Francisco, CA, 2011, pp. 4155-4159,

[7] Kundur, Prabha, et al. "Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions." IEEE transactions on Power Systems 19.3 (2004): 1387-1401.

[8] Kundur, Prabha, John Paserba, and Sylvain Vitet. "Overview on definition and classification of power system stability." CIGRE/IEEE PES International Symposium Quality and Security of Electric Power Delivery Systems, 2003. CIGRE/PES 2003.. IEEE, 2003.

Organizer:     Professor, Zhe Chen,zch@energy.aau.dk,

Lecturers:      Professor Zhe Chen, Aalborg University, Denmark

Assistant Professor Yanbo Wang, Aalborg University, Denmark

                          Post doc. Fellow Kaiqi MA, Aalborg University, Denmark

PhD researchers, Aalborg University, Denmark

ECTS:               3

Date/Time:   7-9 February 2023 / 8:30-16:00

Deadline          23 January 2023

Place:              AAU Energy, Aalborg

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:

After introduction of fast processing digital signal processors Model Predictive Control (MPC) has emerged as one of the most promising control alternative for power electronics converter control. The advantages of MPC algorithms over traditional cascade control structure lie in fast transient response and simple inclusion of multiple control objectives in a single control loop. However, there also remain challenges in implementation of MPC algorithms in power electronics converter applications. Although some variants of MPC algorithm have found application in industrial products, further research is required to achieve a much wider application.

In this course basic principles of MPC will be explained, thus the course is suitable for participants without prior knowledge about MPC applications. The focus will be on two most popular MPC algorithms in power electronics applications: finite control set (FS-MPC) and continuous control set (CS-MPC). Afterwards the emphasis will be put on specific challenges in algorithm implementation e.g. weighting factor tunning, computational burden, fixing the switching frequency, performance verification using statistical model checking. Several applications of MPC algorithm applications will be analyzed e.g. grid-connected converters, multilevel converters, motor drives, UPS converters.  The course will be accompanied by hands-on Simulation exercises where the participants can apply the learned methods and understand the principles of algorithm implementation. 


 

Day 1:

·       Basic concepts of MPC for power electronics converters, design, and implementation challenges (5 hours)

·       Hands-on exercises by Mateja Novak (2 hours)  

Lecturers: Mateja Novak (7 hours)

Day 2:

·       Application-specified MPC methods (2 hours)

·       Performance verification by statistical model checking (3 hours)

·       Hands-on exercises (2 hours)

Lecturers: Mateja Novak (4 hours), Ulrik Nyman (5 hours)

Prerequisites:

·       Fundamentals of power electronics

·       Experience with MATLAB/Simulink is recommended for the exercises

Form of evaluation: Students are required to solve exercises using the knowledge acquired in the course and submit a short project report with solutions within three weeks after the course, which will be assessed by the lecturers.

Literature:

·       J. Rodriguez and P. Cortes, Predictive Control of Power Converters and Electrical Drives, ser. Wiley - IEEE. Wiley, 2012

·       T. Geyer, Model Predictive Control of High Power Converters and Industrial Drives. IEEE Wiley, 2016

·       S. Vazquez, J. Rodriguez, M. Rivera, L. G. Franquelo, and M. Norambuena, “Model predictive control for power converters and drives: Advances and trends,” IEEE
       Trans. 
Ind. Electron., vol. 64, no. 2, pp. 935–947, Feb 2017.

·       P. Karamanakos, E. Liegmann, T. Geyer and R. Kennel, "Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges," in IEEE Open
        Journal of Industry Applications, vol. 1, pp. 95-114, 2020, doi: 10.1109/OJIA.2020.3020184.

·       A. David, K. G. Larsen, A. Legay, M. Mikucionis, and D. B. Poulsen, “Uppaal smc tutorial,” Int. J. Softw. Tools Technol. Transf., vol. 17, no. 4, pp. 397–415, Aug. 2015

M. Novak, U. M. Nyman, T. Dragicevic, and F. Blaabjerg, “Statistical model checking for finite-set model predictive control converters: A tutorial on modeling and performance verification,” IEEE Ind. Electron. Mag., vol. 13, no. 3, pp. 6–15, 2019.

Organizer:     Professor Frede Blaabjerg,  fbl@energy.aau.dk

Postdoc Mateja Novak,  nov@energy.aau.dk

Lecturers:      Postdoc Mateja Novak – Aalborg University

Associate Professor Ulrik Nyman – Aalborg University

ECTS:               2

Date/Time:   5th – 6th October 2023

Deadline:        14 September 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:

Power systems are constantly subjected to disturbances and switching actions. These actions can go from a normal connection/disconnection of a load or line to the opening of a faulted line after a short circuit or the incidence of lightning strokes, among others. These events are known as electromagnetic transients and have a short duration in the range of microseconds/milliseconds, typically.

Even being short duration phenomena, electromagnetic transients are of fundamental importance, as the system is subjected to high currents, voltages and/or frequencies during those micro/milliseconds, which may damage the electrical equipment and put them out-of-service. As a result, extensive investigations are made when installing new high voltage equipment as transformers or new lines, in order to assure that the equipment is not subjected to high stresses. This is a key part of a process known as Insulation Coordination, and it is the focus of this course.

 

The participants in the course will learn about insulation coordination, how to analyse electromagnetic transients and different transient phenomena will be explored using examples and real-life cases. When relevant, the respective countermeasures will be explained and examples given on how to do the respective choice.

The course will also focus in the use of software tools for the simulation of the transients, more specifically EMTDC/PSCAD, which will be introduced and explained during the course. The importance of having a proper modelling of the equipment (e.g., overhead lines, underground cables, transformers, …) in function of the phenomena will be demonstrated and guidelines will be provided on how to define the modelling requirements for different transient phenomena.

Some of the phenomena that will be studied in the course are:

·       Energisation and de-energisation of capacitor banks, shunt reactors, lines, transformers, …;

·       Travelling waves and switching phenomena;

·       Particularities of switching in HVAC cables (zero-missing, influence of bonding, etc…);

·       Energisation of transformers (inrush currents and other resonances);

·       Lightning simulation and back flashover;

·       Fault transients;

·       Impact of resonance points;

·       Guidelines for network modelling:

o   Network size;

o   Modelling precision;

o   Model validation;

Day 1:

·       Basic concepts;

·       Introduction to PSCAD;

·       Basic switching operations (capacitor banks, shunt reactor);

·       Travelling waves and modal domain;

Day 2:

·       Phenomena typical to underground cables;

·       Transformers energization and deenergisation;

·       Lightning related phenomena;

·       Resonances;

Day 3:

·       Faults;

·       Temporary Overvoltages;

·       Interruption of inductive currents;

·       Network modelling for different phenomena;

·       Presentation of exercises for evaluation;

Prerequisites:  Master degree in Electric Power Systems or similar

Form of evaluation: Several exercises consisting in the simulation and analysis of different phenomena in an EMTP-type software must be done after the course. The attendees are expected to do a proper simulation of the phenomena, to comment the results and to propose solutions to the main issues, in a manner similar to an insulation coordination study.

 

Literature:

·       Handouts

·       Simulation files

·       Papers and books (extra reading)

Organizer    Assoc. Professor, Filipe Faria da Silva, ffs@energy.aau.dk

Lecturers:      Filipe Faria da Silva, Aalborg University

ECTS:               3

Date/Time:   23-25 October

Deadline:        2 October 2023

Place:              AAU Energy – Aalborg

Max no. of participants: 15

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Description:

·       Day 1: September 11, 2023

o   A1: Transverse Flux wind  PMSG (3 MW,11 rpm) - optimal design case study - with FEM key validations (3 hours)

o   A2. Cage Rotor Induction Generator(CRIG)-10 MW,10 rpm,10 Hz design case study, with FEM key validations (1.5 hours)

o   A3. RelSyn Generator (RSG) -10 MW,10 rpm,15 Hz design case study, with FEM  key validations (1.5 hours)

·       Day 2: September 12, 2023

o   A4. Bonded-NdFeB-spoke-PM-rotor SG-10MW,10 rpm,30 Hz design case study with FEM key validations (2 hours)

o   B0. Fractional KVA rating PWM converter doubly fed variable speed electric generator systems (DFGs) design and control: an overview in 2020 (4 hours)

·       Day 3: September 13, 2023

o   B1. DFIG with variable stator and rotor frequency with diode rectified output control for higher efficiency: a case study (1.5 hours)

o   B2. DFIG with variable stator and rotor frequency and 3/6 phase trafo and diode rectified M(H)VDC output control for larger power at low speeds (1.5 hours)

Prerequisites: Fundamental knowledge of electromagnetic fields, electric motors and generators, electric drives, power electronics, voltage, current and power control.

Form of evaluation: Ten questions with synthetic answers (explanations), covering each of the 9 sections of the intensive course. The evaluation will take place at the end of the course, in the third day and will last 1 hour.


 

Literature

1.       Book chapters: I. Boldea, “Variable Speed Generators”, 2nd Edition, CRC Press, 2016

2.       Papers:

1. I. Boldea, L. Tutelea, and F. Blaabjerg, “High power wind generator designs with less or no PMs: An overview,” in 2014 17th International Conference on Electrical Machines and Systems (ICEMS), 2014, pp. 1–14.

2. M. Niraula, L. Maharjan, B. Fahimi, M. Kiani, and I. Boldea, “Variable Stator Frequency Control of Stand-Alone DFIG with Diode Rectified Output,” in 2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA), 2018, pp. 1–6.

3. O. M. E. Mohammed, W. Xu, Y. Liu, and F. Blaabjerg, “An improved control method for standalone brushless doubly-fed induction generator under unbalanced and nonlinear loads using dual-resonant controller,” IEEE Trans. Ind. Electron., IEEEXplore, pp. 10.

4. L. N. Tutelea, I. Boldea, N. Muntean, and S. I. Deaconu, “Modeling and performance of novel scheme dual winding cage rotor variable speed induction generator with DC link power delivery,” 2014 IEEE Energy Conversion Congress and Exposition (ECCE), 2014, pp. 271–278.

Motivation

Recent staggering progress and perspective of ever more wind energy penetration in power systems requires large wind generators systems with high energy yield for lower weight (larger Nm/Kg), lower losses (in %), lower Euro/KWh and Euro/KW(KVA) of installed power, for higher system stability/reliability – which is the topic of this course

Organiser:     Prof. , Freder Blaabjerg e-mail:  fbl@energy.aau.dk

Instructor:     Ion Boldea IEEE Life Fellow, IEEE Fellow

ECTS:               3

Date/Time:   September 11-13, 2023

Deadline:       21 August 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description:  

Energy markets are at the heart of one of the biggest societal challenges of our time - creating a sustainable, reliable and affordable energy provision. Renewable Energies are also new guests and participants in such markets. The PhD/industrial course on “Energy Markets and Analytics” aims at providing an in depth introduction to energy markets and how the renewable energies can be integrated in them safely. The participants will learn how to implement the concepts using appropriate software packages on planning, decision making and optimization.

The course will mainly cover the following subjects:

Day 1 (8:30-16:30- both Lecturers)

1.1.      Introduction to energy markets

1.2.      Pricing and market clearing mechanisms

1.3.      Competition and different type of markets

1.4.      Market participants

1.5.      Challenges of participation of renewable energy resources (RER) in markets

Day 2 (8:30-16:30- both Lecturers)

2.1.      Policies for integrating RERs in markets around the world

2.2.      Impact of RERs on market clearing and market outputs

2.3.      Demand side management for RERs integration in energy markets

2.4.      Energy storage for RERs integration in energy markets

2.5.      Impact of RER on balancing market

Prerequisites:  There is no prerequisite.

Form of evaluation: The participants will be evaluated by exercises on a daily basis (both individually and in groups) and a mini-project on market practices at the end of the course.

Course Literature:

Books:

  • D. Kirschen and G. Strbac, “Fundamentals of Power System Economics”, Wiley, 2004.
  • Conejo, Antonio J., Carrión, Miguel, Morales, Juan M., “Decision Making Under Uncertainty in Electricity Markets”, Springer, 2010. ISBN 978-1-4419-7421-1. DOI: 10.1007/978-1-4419-7421-1
  • Shahidehpour, Mohammad, Hatim Yamin, and Zuyi Li. Market operations in electric power systems: forecasting, scheduling, and risk management. John Wiley & Sons, 2003.

Presentations:

  • David Longstreet,” Introduction to Monopoly Theory”. Accessed online: www.mybooksucks.com
  • Chapter 4, Morales, Juan M., et al. “Integrating renewables in electricity markets: operational problems”. Vol. 205. Springer Science & Business Media, 2013.

Papers:

  • Cochran, Jaquelin, Lori Bird, Jenny Heeter, and Douglas J. Arent. Integrating variable renewable energy in electric power markets. best practices from international experience. No. NREL/TP-6A00-53732. National Renewable Energy Lab (NREL).
  • M. Daneshvar, et al., “Chance-Constrained Models for Transactive Energy Management of Interconnected Microgrids Clusters”, Journal of Cleaner Production, vol. 271, pp. 1-14, 2020.
  • H. Khaloie, et al., “Coordinated Wind-Thermal-Energy Storage Offering Strategy in Joint Energy and Spinning Reserve Markets using a Multi-Stage Model”, Applied Energy, vol. 259, pp. 1-18, 2020.

Organizer:     Associate Professor Amjad Anvari-Moghaddam – aam@energy.aau.dk  

Lecturers: Associate Professor Amjad Anvari-Moghaddam – Aalborg University

Professor Behnam Mohammadi-ivatloo – University of Tabriz

ECTS:               2

Date/Time:   14 - 15 March 2023

Place:              Hybrid (Online+ AAU Energy)  
                          
Pontoppidanstræde 105, room 3.115, Aalborg

Max no. of participants:    30 persons

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Deadline: 21 February 2023

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Description: Energy is a resource that needs to be managed and decisions need to be made on production, storage, distribution, and consumption of energy. Determining how much to produce, where and when, and assigning resources to needs in the most efficient way is a problem that has been addressed in several fields. There are available tools that can be used to formulate and solve these kinds of problems. Using them in planning, operation, and control of energy systems requires starting with the basics of math programming techniques, addressing some standard optimization problems, and adapting the solutions to new particular situations of interest.

A first issue is revisiting the modelling concept. The model is a simplified representation of our reality. Complex multi-level problems may need different models and models valid at the operational level (operation and control) may not be useful at the tactical or strategic levels (scheduling and planning). Thus, when addressing optimization problems, detailed physical models based on differential equations will be replaced by algebraic equations expressing the basic relations between lumped parameters. The second issue is the choice of a problem-solving method. It is well known that all optimization methods have at least some limitations and there is no single method or algorithm that works best on all or even a broad class of problems. In order to choose the best method for a given problem, one must first understand the nature of the problem and the type of design space that is being searched..

Students attending this course will learn how to recognise and formulate different optimization problems in planning, operation and control of energy systems, and how to solve them using existing software and solvers such as MATLAB and GAMS. Different principal algorithms for linear, discrete, nonlinear and dynamic optimization are introduced and related methodologies together with underlying mathematical structures are described accordingly. Several illustrative examples and optimization problems, ranging from the classical optimization problems to the recent MINLP models proposed for the optimization of integrated energy systems (such as residential AC/DC microgrids) will be introduced during supervised hand-on sessions and different tools (such as classic mathematical methods, heuristics and meta-heuristics) will be used for solving the cases. The choice of objective functions, representation of discrete decisions, using formulation tricks and checking the results will be also covered. Moreover, specific real applications of these methods and algorithms will be shown, not only focusing on the optimization by itself but also showing the techniques for interconnecting the computational system with the resources utilizing technologies such as the Internet of Things (IoT).

The course is intended for those students that, having a general knowledge in mathematics and simulation, have a very limited experience in math optimization and programming, and need to be introduced to these tools for energy systems optimization.

  • Day 1: Introduction to Models, Methods, and Optimization tools –Najmeh Bazmohammadi (2h), Josep Guerrero (2h), Juan C. Vasquez (1h)
  • Day 2: Introduction to Energy management systems of Microgrids –Josep Guerrero (1), Juan C. Vasquez (1h), Najmeh Bazmohammadi (2),
  • Day 3: EMS Applications to Microgrid Systems – Najmeh Bazmohammadi (2), Yajuan Guan (1), Josep Guerrero (1), Juan C. Vasquez (1)

Form of evaluation: The participants will be grouped and asked to teamwork on several case study scenarios and tasks proposed along the course.

Prerequisites Familiarity with basics of mathematical modelling, linear algebra, and probability and statistics. Skills regarding Matlab/Simulink is also needed.

Organizer:     Professor Josep M. Guerrero, joz@energy.aau.dk

Professor Juan C. Vasquez, juq@energy.aau.dk

Lecturers:      Postdoc Najmeh Bazmohammadi, AAU Energy

Assoc. Prof Yajuan Guan, AAU Energy

Professor Juan Vasquez, AAU Energy

Professor Josep M. Guerrero, AAU Energy

ECTS:               3

Date/Time:   May 1-3, 2023

Deadline: 11 April 2023

Place:              AAU Energy, Aalborg

Max no. of participants:    20

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations. 

Description: With a rapid advancement of power switching devices and digital signal processing units, power electronics technology has found its way into many applications of renewable energy generation, transmission and consumption. Although power electronics systems are a key enabler as a cross-functional technology in the energy conversion process, their pulse energy conversion with inherent switching behavior exhibit disturbing harmonic emissions and electromagnetic noises.

Recently, with the high penetration of power electronic systems and advent of new power semiconductor devices known as wide-band gap (WBG) the importance of understanding and preventing power converters switching disturbances have significantly elevated. The generated harmonic and noise disturbances can result in electromagnetic interference (EMI) and should be controlled within specific limits by applying proper filtering, topology and control scheme. Thereby, in order to prevent the power converters from disturbing their own operation and other nearby electronic devices they should design for electromagnetic compatibility (EMC).

The emphasis of this course is to give a complete and clear picture on EMI issues and mitigation methodologies. Systematic designing of passive EMI filters for differential mode (DM) and common mode (CM) noises in single-phase and three-phase systems will be provided. Printed circuit board (PCB) design criteria, passive and active components parasitic and shielding approaches in reducing near-field couplings will be covered as well. Furthermore, time and frequency domain modeling of conducted low and high frequency emission noises through developing equivalent circuit models of power electronics converters in order to reduce the analysis complexity and prevent from conventional trial and error design approach will be addressed. This course will also focus on new challenges within the new frequency band of 2-150 kHz in power electronic based power systems. The course content is combined with real-world application examples and demonstration.

In the first day the course will focus on basics of harmonics generated by switching, EMI issues in PWM converters, components parasitic, measurement requirement, interference mechanisms, filtering component and strategy. In the second day there will be more focus on advanced topics such as magnetic coupling, EMI prediction, Shielding and new standard requirements. The second day will be supported with industrial examples and real-world design experience regarding different aspects of EMI/EMC in power electronics. 

Day1: EMI Prediction and Filtering in Power Converters  

  08:45 – 11:30 Topic1: EMI Issues and Measurement in PWM Converters (Basics) [Pooya Davari]

           o   08:45 – 09:30 Disturbances Generated by Switching

09:30 – 09:40 Break

    •      09:40 – 10:40 Components Parasitic

10:40 – 10:50 Break

    •      10:50 – 11:30 Measurement requirement

11:30 – 12:15 Lunch

            12:15-13:00 Topic2: Interference Generation [Pooya Davari and Eckart Hoene]

13:00 – 13:10 Break

           13:10-14:10 Topic3: Filtering Components and Strategy [Pooya Davari]

14:10 – 14:20 Break

             14:20 – 14:50 Topic4: Filtering Components (Advanced) [Eckart Hoene]

14:50 – 15:00 Break

            15:00 – 16:00 Topic5: Prediction [Eckart Hoene]

             MINI PROJECTS (16:00 – 17:00)

Day2:   EMI Mechanisms and EMC Design Strategy in Power Electronics  

  08:30 – 09:00 Topic6: Mechanisms [Eckart Hoene and Pooya Davari]

  09:00 – 09:45 Topic7: Design Strategies for Power Electronic Devices [Eckart Hoene]

09:45 – 10:00 Break

   10:00 – 10:45 MINI PROJECTS: 45 min presentation from groups [Students]

10:45-11:15 Topic8: New 2- 150 kHz Frequency Range Standard [Pooya Davari]

11:15-12:00 Topic9: Overview: EMC Design of Drive Systems (Eckart Hoene]

12:00 – 12:45 Lunch

12:45-13:30 Topic10: EMC Demonstrator [Christian Wolf]

o   12:45-13:15 EMC Demonstrator Conducted Mode

o   13:15-13:30 EMC Demonstrator Radiated Mode

13:30 – 13:40 Break

      13:40-14:00 Topic11: Resonance Phenomenon [Christian Wolf]

      14:00-14:30 Topic12: EMC filters and mechanical layout [Christian Wolf]

14:30 – 14:40 Break

      14:40-15:20 Topic13: Crosstalk – Ground plane [Christian Wolf]

15:20 – 15:30 Break

      15:30-16:00 Topic14: SMPS and layout [Christian Wolf]

      16:00 – 16:30 Feedback and Closing the Session [Pooya Davari]

Prerequisites: This course is intended for intermediate and advanced researchers and engineers in the field of power electronics and its applications, for EMC specialists and advanced university students exploring new harmonics and EMI challenges in power electronics-based power system and WBG-based power electronic systems. General knowledge in power electronics converters operation modes, passive components and basic control theory are preferred. Course exercises and mini-projects will be performed on MATLAB/PLECS software platform.

 

Pre-reading the shared materials

1-      Power Electronics

2-      Basic understanding of power electronics control

 

Form of evaluation: The participants will work on mini-projects in the final 1-day lecture. The mini-projects are defined based on a real application design and will be assigned to group of four people. Groups will compare and deeply discuss their design method and choices and present their results in presentation form to the class.

1-      Mini-projects

2-      Power point presentation

 

Course literature:

·     Basics in EMC and Power Quality_Schaffner [Page: 5 - 13]

·     H. W. OTT, "Electromagnetic Compatibility Engineering", Wiley, 2009. Chapter 1, pp. 1 – 33

·     H. W. OTT, "Electromagnetic Compatibility Engineering", Wiley, 2009. Chapter 5. Passive Components, pp. 194 – 206

·     M. Hartmann, H. Ertl and J. W. Kolar, "EMI Filter Design for a 1 MHz, 10 kW Three-phase/Level PWM Rectifier," in IEEE Transactions on Power Electronics, vol. 26, no.
      4, pp. 1192-1204, April 2011.

·     H. W. OTT, "Electromagnetic Compatibility Engineering", Wiley, 2009. Chapter 2. Cabling, pp. 44 – 68

·     Tips and Tricks for Successful Power Designs, Texas Instrument

·     M. Lobo Heldwein, “EMC Filtering of Three-Phase PWM Converters”, PhD Thesis, ETH, 2007.

·     Keysight Application Note: “Making EMI Compliance Measurements”, 2015.

·     P. Davari, E. Hoene, F. Zare, and F. Blaabjerg, “Improving 9-150 kHz EMI performance of single-phase PFC rectifier”, In Proc. of CIPS, 2018.

·     R. W. Erickson, "Optimal single resistors damping of input filters," Applied Power Electronics Conference and Exposition, 1999. APEC '99. Fourteenth Annual, Dallas,
      TX, 1999, pp. 1073-1079 vol.2.

·     K. Raggl, T. Nussbaumer and J. W. Kolar, "Model based optimization of EMC input filters," 2008 11th Workshop on Control and Modeling for Power Electronics,
      Zurich, 2008, pp. 1-6.

·     P. T. Jensen and P. Davari, "Power Converter Impedance and Emission Characterization Below 150 kHz," 2021 IEEE International Joint EMC/SI/PI and EMC Europe            Symposium, 2021.

·     P. Davari and F. Blaabjerg, “Impedance Analysis of Single-Phase PFC Converter in the Frequency Range of 0-150 kHz”, IPEC 2022, ECCE-ASIA, 2022.

·     F. Zare, H. Soltani, D. Kumar, P. Davari, H. A. M. Delpino and F. Blaabjerg, "Harmonic Emissions of Three-Phase Diode Rectifiers in Distribution Networks," IEEE 
     Access, vol. 5, 2017.

·     H. Soltani, P. Davari, F. Zare, and F. Blaabjerg, ”A review on the effects of dc-link filter on harmonic and interharmonic geenration in three-phase adjustable speed
      drive systems," in Proc. of ECCE, 2017.

·     Ganjavi, F. Zare, D. Kumar, A. M. Abbosh, K. S. Bialkowski and P. Davari, "Mathematical Model of Common-Mode Sources in Long-Cable-Fed Adjustable Speed
      Drives," in IEEE Transactions on Industry Applications, vol. 58, no. 2, pp. 2013-2028, March-April 2022

·     S. Weber, S. Guttowski, E. Hoene, W. John and H. Reichl, "EMI coupling from automotive traction systems," 2003 IEEE International Symposium on Electromagnetic
      Compatibility, 2003. 
EMC '03., 2003.

·     E. Hoene, A. Lissner, S. Weber, S. Guttowski, W. John and H. Reichl, "Simulating Electromagnetic Interactions in High Power Density Inverters," 2005 IEEE 36th Power
      Electronics Specialists Conference, 2005.

Organizer:     Associate Prof. Pooya Davari pda@energy.aau.dk

Lecturers:      Professor Eckart Hoene - Aalborg University and Fraunhofer IZM,

                      Dr. Christian Wolf, Lead Specialist, EMC & Power Electronics - Grundfos Holding A/S,

                       Associate Professor Pooya Davari - Aalborg University

ECTS:               2.5

Date/Time:   November 6 -7, 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 20


Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.



Deadline: 

Description: This PhD course is an introduction to electrochemical energy conversion with a focus on fuel cell technology (gas to power) and electrolyzer technology (power to gas). In detail, it will provide

·       An introduction to the thermodynamics of electrochemical energy conversion.

·       An overview of the different types of fuel cells and elecytrolyzers and their materials.
·       An introduction of the different ways of modeling of electrochemical devices and systems.
·       A familiarity with the different experimental methods to test and characterize electrochemical energy converters.

As the conclusion of the course, an attendee will be well prepared to understand and follow more sophisticated state-of-the-art literature in this field, to be able to understand simple (zero-dimensional) models of fuel cell systems using software such as EES and know the benefits and drawbacks of advanced (multi-dimensional) models of the fluid flow in electrochemical devices that employ the methods of computational fluid dynamics. The attendee will also have an overview of the various experimental methods that can be employed to test electrochemical devices. This PhD course is aimed at recent graduates, professional engineers, and the likes.

Day 1: Thermodynamics of electro-chemical energy conversion, Different types of fuel cells and water electrolyzers.
Lecturers: Torsten Berning, Vincenzo Liso. 8h.

Day 2: Fuel cell and electrolyzer components, fuel cell and electrolyzer modeling.
Lecturers: Vincenzo Liso, Samuel Araya. 8h.

Day 3: Experimental methods in theory and practice: Electrochemical impedance spectroscopy, hot wire anemometry, Cyclic Voltammetry, Neutron Radiography.
Lecturers: Samuel Araya, Søren Jensen. 8h.

Day 4: Industrial perspectives: Current and future challenges. A visit by or from a local fuel cell manufacturer.

Lecturers: Søren Jensen, Torsten Berning. 4h.
Prerequisites: Basic knowledge in thermodynamics and modeling methods such as Engineering Equation Solver (EES) and/or the methods of computational fluid dynamics (CFD).
Evaluation: The groups of students will present the theoretical exercises and discuss their experimental results on the last day of the course. Questions will be asked by the teachers to individual students during the presentation. Evaluation will be “passed” or “failed”.

Literature:
·       R. O’Hayre, S.-W. Cha, W. Colella, F. B. Prinz: Fuel Cell Fundamentals, 3rd ed., Wiley, 2016.
·       F. Barbir: PEM Fuel Cells - Theory and Practice, 2nd ed., Elsevier, 2012.
·       D. Bessarabov, H. Wang, H. Li, N. Zhao: PEM Electrolysis for Hydrogen Production: Principles and Applications, CRC Press 2015.
·       S. Lvov: Introduction to Electrochemical Science and Engineering.

Organizer:     Associate Professor Torsten Berning, tbe@energy.aau.dk

Lecturers:      Associate Professor Torsten Berning, Aalborg University

Associate Professor Vincenzo Liso, Aalborg University

Associate Professor Samuel Araya, Aalborg University

Associate professor Søren Højgaard Jensen, Aalborg University

ECTS:               4.0

Date/Time:   23-26 May 2023

Deadline 1 May 2023

Place:              AAU Energy, Aalborg

Max no. of participants:    25

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description: The aim of the course is to meet both scientific challenges and industry needs for electrical engineers and scientists with reliability expertise and systems engineering concept, especially the D-FMEA for system design.  The lecturers would like to extend for the workshop as a regular PhD course so that it can benefit a wider range of participants. 

Design Failure Mode and Effect Analysis (D-FMEA) helps to foresee design issues and to mitigate them at early stages of product development. Best practice of D-FMEA for power electronics design is believed to be of general benefits to the power electronic converter designer across industries and academic research.  Based on engineering case studies, this course will introduce a systematical way to perform D-FMEA and its important aspects.  Participants will bring their own designs to the course, and will leave with hands-on experiences in building up D-FMEA of their specific applications. The course will mainly cover the following aspects:

1)      Introduction to D-FMEA and systems engineering

2)      How to formulate functions and failures, link causes and effects, and score risk

3)      Examples applicable of mega-watt power converter

4)      Training in software tool for D-FMEA (IQ-FMEA) and free-of-charge use of tool for duration of course

5)      Hands on exercises of selected projects from course participants (teams or individuals)

Day 1 – Introduction of D-FMEA, Systems Engineering
(Lecturers: Philip C. Kjær, Rui Wu, and Huai Wang, 08:30 – 16:30)

08:30 – 09:00 Welcome, introduction to the course

09:00 – 10:30 Introduction to D-FMEA

10:30 – 12:00 Introduction to systems engineering

12:00 – 13:00 Lunch

13:00 – 15:30 Exercise on functions & failures

15:30 – 16:30 Participant team project support

 

Day 2 – Failure Cause & Effect and Risk Scoring
(Lecturers: Philip C. Kjær, Rui Wu, and Huai Wang, 08:30 – 16:30)

08:30 – 09:00                           Recap from Day 1

09:00 – 10:30                           Converter – a worked example

10:30 – 12:00                           Cause & effect analysis

12:00 – 13:00                          Lunch

13:00 – 14:00                          Converter – a worked example

14:30 – 15:30                          D-FMEA risk scoring

15:30 – 16:30                          Software training of IQ-FMEA (I)

 

Day 3 – Failure Cause & Effect and Risk Scoring
 
(Lecturers: Philip C. Kjær, Rui Wu, and Huai Wang, 08:30 – 16:30)

08:30 – 09:00                          Recap from Day 2

09:00 – 11:30                           Software training of IQ-FMEA (II)

11:30 – 12:00                           Participant team project discussions

12:00 – 13:00                           Lunch

13:00 – 15:00                           Participant team project presentation

15:00 – 16:30                           Participant team project discussions

 

Day 4 – Participant Team Project Implementation and Exercises (it is mainly performed intensively by the course participants in teams, lecturers can provide support upon the request, otherwise, no formal lecturers on this day)

Day 5 – Participant Team Project Presentations and Discussions (Lecturers: Philip C. Kjær, Rui Wu, and Huai Wang, 08:30 – 16:30)

Prerequisites:

1.      Pre-reading the shared materials

2.      Participants should choose their own products for studying in the course, which should be:

1)      a product at an adequate complexity level within power electronics area, for instance, a EMI filter, a Print circuit board (PCB), a magnetic component, discrete semiconductors, a heat sink or a liquid cooling system;

2)      a product with new designs, or a product with modifications to the exist design, or a exist product needs FMEA analysis

3.      Participants should form a DFMEA team inside their institutes/companies for their design, including: a core team - designers of the product, a support team - assembly, manufacturing, design, analysis/test, reliability, materials, quality, service, and suppliers, as well as designers responsible for the next higher system.

4.      Participants should be aware of the customers’ requirements/ expectations on their products.  


 

Form of evaluation:  A DFMEA report on the participants’ own project (teams or individuals)

Course literature:

1.      Handouts prepared by the lecturers (20 pages)

2.      INCOSE Systems Engineering Handbook (about 50 pages for key contents to this course)

3.       Effective FMEA (about 50 pages for key contents relevant to this course)

Organizer:     Huai Wang, Professor, Aalborg University

Lecturers:      Philip C. Kjær, Chief Specialist, Vestas Wind Systems A/S, and Professor,AAU

Rui Wu, Power Electronics Engineer, Vestas Wind Systems A/S

Huai Wang, Professor, Aalborg University

ECTS:               4

Date/Time: September 11-15, 2023

Deadline:     21 August 2023

Place:              AAU Energy, Aalborg

Max no. of participants:  30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description:

The main component of modern Power Electronics circuits is the semiconductor power switch. This course presents the main power switch types used in traction applications, starting from giving a design perspective and ending giving technological insights.

The course develops on three days. The first one is mainly devoted to the semiconductor part, the second one on the packaging part, both days looking both at design and technology. The third day is mainly groupwork where participants will design an application-specific automotive module.

Day 1
Lecture 1: 08.30-12.00 (V. Popok, 2 h; K. Pedersen, 1 h)
  • Junction theory, PN- and PIN-diodes.
  • Fundamentals of bipolar junction and field-effect transistors.
  • MOSFET and IGBT in power electronics.
  • Emerging (wide band-gap) technologies.

 

Lecture 2: 13.00-16.30 (F. Iannuzzo, 3 h)
  • Operation of MOSFETs and IGBTs. On state, off state, switching theory. Miller plateau, voltage/current overshoots and voltage/current tails. Power loss calculation.
  • Overview of abnormal operations: Safe Operating Area (SOA), unclamped inductive switching (UIS) and short circuit.
  • Principle of instability theory: current crowding and thermal runaway. Negative capacitance.
  • Modern driving strategies: including two-level turn off and desaturation protection
Day 2
Lecture 3: 08.30-12.00 (E. Hoene, 3 h)
  • Introduction on packaging techniques for modern semiconductor power switches.
  • Challenges in terms of power density, stray inductance/resistance and reliability.
  • Modern interconnection solutions: copper bond wires, low-profile packaging, bondless packaging, etc. 
Group work, part 1: 13.00-16.30
Day 3
Group work, part 2: 08.30-12.00
Final lecture: 13.00-16.30 (F. Iannuzzo, 1 h; E. Hoene, 2 h)
  • Project presentations by groups, Collective project verification and discussion

 

Prerequisites:                               

basic knowledge of circuit theory

Form of evaluation:

the participants will be grouped and asked to work in team on a real design. Groups will compare and deeply discuss the achievements and the design choices in the final 1-day lecture. Attendees are asked specific questions about the developed design to be answered individually.

 

Course literature:

slides from the lecturers

 

Organizer:          Prof. Francesco Iannuzzo, fia@energy.aau.dk, Aalborg University

Lecturers:           Prof. Eckart Hoene, AAU and Fraunhofer IZM

                               Prof. Francesco Iannuzzo, AAU

                               Prof. Kjeld Pedersen, AAU

                               Prof. Vladimir Popok, AAU

ECTS:                    3

Date/Time:        1 - 3 November 2023, all days 8:30 – 16:30

Deadline;             11 October 2023

Place:                   AAU Energy, Aalborg

Max no. of participants:         25

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:  DC distribution and transmission systems are a clear trend in electrical networks. The focus of this course is on modeling, control and operation of DC Microgrids, starting with stability and control strategies analyzed in detail, DC droop, virtual impedance concepts and hierarchical control structures for DC microgrids are also introduced. Control of DC-DC and AC-DC converters oriented as DC Microgrid interfaces are evaluated.

Distributed energy storage systems and mature DC output generation systems including distributed energy storage solutions are presented showing their interaction in DC distribution Microgrids. The course also shows examples of DC microgrids in different applications like telecommunication systems, wind power DC collector grid, residential DC electrical distribution systems and hybrid AC-DC microgrids. 

Form of evaluation: The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports.

Day 1: DC Microgrids Introduction, Design and Control.

Josep Guerrero (3h), Baoze Wei (2.5h), Abderezak Lashab(1.5h)

 

Day 2: DC Collector Grids for WPPs and Hierarchical Control of Microgrids

Sanjay Chaudhary (1.5h), Josep Guerrero (1.5h), Baoze Wei (2.5h), Abderezak Lashab(1.5h)

 

Prerequisites: Knowledge on power electronics modelling, control theory and Matlab/Simulink is recommended for the exercises.

 

Form of evaluation: The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports.

 

Course literature

1.       Book chapters Chapter 1 & 2 of Microgrids: Modeling, Control, and Applications (Elsevier)

2.       Articles

- J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuna and M. Castilla, "Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization," in IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158-172, Jan. 2011

- T. Dragičević, X. Lu, J. C. Vasquez and J. M. Guerrero, "DC Microgrids—Part I: A Review of Control Strategies and Stabilization Techniques," in IEEE Transactions on Power Electronics, vol. 31, no. 7, pp. 4876-4891, July 2016

- T. Dragičević, X. Lu, J. C. Vasquez and J. M. Guerrero, "DC Microgrids—Part II: A Review of Power Architectures, Applications, and Standardization Issues," in IEEE Transactions on Power Electronics, vol. 31, no. 5, pp. 3528-3549, May 2016

- X. Lu, J. M. Guerrero, K. Sun and J. C. Vasquez, "An Improved Droop Control Method for DC Microgrids Based on Low Bandwidth Communication With DC Bus Voltage Restoration and Enhanced Current Sharing Accuracy," in IEEE Transactions on Power Electronics, vol. 29, no. 4, pp. 1800-1812, April 2014

-X. Lu, K. Sun, J. M. Guerrero, J. C. Vasquez and L. Huang, "State-of-Charge Balance Using Adaptive Droop Control for Distributed Energy Storage Systems in DC Microgrid Applications," in IEEE Transactions on Industrial Electronics, vol. 61, no. 6, pp. 2804-2815, June 2014

- T. Dragičević, J. M. Guerrero, J. C. Vasquez and D. Škrlec, "Supervisory Control of an Adaptive-Droop Regulated DC Microgrid With Battery Management Capability," in IEEE Transactions on Power Electronics, vol. 29, no. 2, pp. 695-706, Feb. 2014

-L. Meng et al., "Review on Control of DC Microgrids and Multiple Microgrid Clusters," in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 5, no. 3, pp. 928-948, Sept. 2017.

- V. Nasirian, A. Davoudi, F. L. Lewis and J. M. Guerrero, "Distributed Adaptive Droop Control for DC Distribution Systems," in IEEE Transactions on Energy Conversion, vol. 29, no. 4, pp. 944-956, Dec. 2014

-T. Dragicevic, J. C. Vasquez, J. M. Guerrero and D. Skrlec, "Advanced LVDC Electrical Power Architectures and Microgrids: A step toward a new generation of power distribution networks," in IEEE Electrification Magazine, vol. 2, no. 1, pp. 54-65, March 2014

-N. L. Diaz, T. Dragičević, J. C. Vasquez and J. M. Guerrero, "Intelligent Distributed Generation and Storage Units for DC Microgrids—A New Concept on Cooperative Control Without Communications Beyond Droop Control," in IEEE Transactions on Smart Grid, vol. 5, no. 5, pp. 2476-2485, Sept. 2014.

-X. Lu, K. Sun, J. M. Guerrero, J. C. Vasquez and L. Huang, "Double-Quadrant State-of-Charge-Based Droop Control Method for Distributed Energy Storage Systems in Autonomous DC Microgrids," in IEEE Transactions on Smart Grid, vol. 6, no. 1, pp. 147-157, Jan. 2015.

X. Lu, K. Sun, J. M. Guerrero, J. C. Vasquez, L. Huang and J. Wang, "Stability Enhancement Based on Virtual Impedance for DC Microgrids With Constant Power Loads," in IEEE Transactions on Smart Grid, vol. 6, no. 6, pp. 2770-2783, Nov. 2015

W. Wu et al., "A Virtual Inertia Control Strategy for DC Microgrids Analogized With Virtual Synchronous Machines," in IEEE Transactions on Industrial Electronics, vol. 64, no. 7, pp. 6005-6016, July 2017

A. Lashab, M. Yaqoob, Y. Terriche, J. C. Vasquez and J. M. Guerrero, "Space Microgrids: New Concepts on Electric Power Systems for Satellites," in IEEE Electrification Magazine, vol. 8, no. 4, pp. 8-19, Dec. 2020

H. Snani, M. Amarouayache, A. Bouzid, A. Lashab and H. Bounechba, "A study of dynamic behaviour performance of DC/DC boost converter used in the photovoltaic system," 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), 2015, pp. 1966-1971

M. Yaqoob, A. Lashab, J. C. Vasquez, J. M. Guerrero, M. E. Orchard and A. D. Bintoudi, "A Comprehensive Review on Small Satellite Microgrids," in IEEE Transactions on Power Electronics, vol. 37, no. 10, pp. 12741-12762, Oct. 2022

E. Rodriguez-Diaz, J. C. Vasquez and J. M. Guerrero, "Intelligent DC Homes in Future Sustainable Energy Systems: When efficiency and intelligence work together," in IEEE Consumer Electronics Magazine, vol. 5, no. 1, pp. 74-80, Jan. 2016

L. Xu et al., "A Review of DC Shipboard Microgrids—Part II: Control Architectures, Stability Analysis, and Protection Schemes," in IEEE Transactions on Power Electronics, vol. 37, no. 4, pp. 4105-4120, April 2022

L. Xu et al., "A Review of DC Shipboard Microgrids—Part I: Power Architectures, Energy Storage, and Power Converters," in IEEE Transactions on Power Electronics, vol. 37, no. 5, pp. 5155-5172, May 2022

 3.       Presentations

Residential DC Microgrids: Latest’s techniques and future perspectives by Dr. Abderezak Lashab https://www.researchgate.net/publication/357206214_Residential_DC_Microgrids_Latest's_techniques_and_future_perspectives

4.       Laboratory introduction handbook (provided via Moodle)

 Organizer:     Professor Juan C. Vasquez, juq@energy.aau.dk

Professor Josep M. Guerrero, joz@energy.aau.dk

Lecturers:      Professor Josep M. Guerrero, AAU Energy 

Associate Professor Sanjay K. Chaudhary, AAU Energy 

Associate Professor Baoze Wei, AAU Energy 

Postdoc Abderezak Lashab, AAU Energy 

ECTS:               2

Date/Time:   April 11-12, 2023

Deadline:       20 March 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 20

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: Microgrids are becoming a cornerstone of power distributions systems that will facilitate the realization of a carbon-neutral electric power systems. Alongside their flexibility to be operated in both grid-connected and autonomous modes, they also provide natural interfaces with many types of RES and ESSs and good compliance with consumer electronics. Moreover, microgrids can be grid-interactive by providing grid supportive functions such as frequency response and, regulation, reactive power support and voltage regulation, etcAll these facts lead to more and more deployment of microgrids in transmission and distribution levels. Furthermore, with proliferation of communication technologies, microgrids are evolving into cyber-physical systems (CPS) that use sophisticated software-based networked control. This increased sophistication imposes numerous new challenges involving coordination, operation philosophy and vulnerability to cyber-attacks.

Cyber-attacks can be designed in many ways: (a) sensor infiltration, (b) communication infringement. Even though several hard-bound secure protocols are designed to ensure the authenticity of the actual signal, the attackers usually target the control layer as an easy target. Hence, this course aims to focus on: (a) identifying the vulnerable access points in microgrid controllers, (b) introducing the most prominent cyber-attacks, (c) detection of cyber-attacks in real-time, (d) removal of these attack elements and ensuring stability/preventing system shutdown, (e) various stability issues in microgrids due to cyber-attacks, (f) design of cyber-attack resilient controllers for microgrids, which heals by itself despite any cyber intrusion attempts. Experimental lab demonstration is expected as well along with discussion on future research ideas.

Day 1: General information about cyber security and its impact on microgrids – Subham Sahoo (5 hours)

9:00 – 9:30 Introduction to the course
9:30 – 10:30 Fundamental concepts of power systems and power electronics (for PhD students from Dept. of Electronic Systems)
10:30 – 10:45 Coffee break
10:45 – 12:00 Impact and overview of cyber-attacks in power grid*
12:00 – 13:00 Lunch break
13:00 – 14:30 Advanced controllers for cyber-physical microgrids
14:30 – 14:45 Coffee break
14:45 – 16:00 Risk assessment of cyber-attacks in microgrids

Day 2: Cyber security framework for microgrids – Subham Sahoo (5 hours)

09:00 – 10:30 Modeling of cyber-attack detection techniques in microgrids (part 1)
10:30 – 10:45 Coffee break
10:45 – 12:00 Modeling of cyber-attack detection techniques in microgrids (part 2)
12:00 – 13:00 Lunch break
13:00 – 14:00 Stability issues due to cyber-attacks in microgrids
14:00 – 15:00 Modeling of cyber-attack mitigation techniques in microgrids
15:00 – 15:15 Coffee break
15:15 – 16:00 Cybersecurity framework in microgrids – Demonstration videos
16:00 – 16:30 Challenges and opportunities

Day 3: Cyber security laboratory exercise and demonstration – Subham Sahoo (2.5 hours)

09:00 – 10:15 Lab Session I
10:15 – 10:30 Coffee Break
10:30 – 11:30 Lab Session II

Prerequisites: 
Practicing knowledge in power electronic systems and control theory. 
Experience in using Matlab/Simulink

Form of evaluation: 
The participants will be grouped and asked to work in teams based on several case studies and tasks proposed along the course. The assessment in this course will be done through a final multiple-choice test in combination with delivery of lab exercises reports.

Course literature:
Books:
1.       S. Sahoo, F. Blaabjerg and T. Dragicevic, “Cybersecurity for Microgrids”, IET, 2022.

Papers:

1.       V S Bharath Kurukuru, M Khan and S Sahoo, “Cybersecurity in Power Electronics using Minimal Data – A Physics-Informed Spline Learning Approach,” IEEE Trans.
         Power Electron., vol. 37, no. 11, pp. 12938-12943, 2022.

2.       M Leng, S Sahoo, F Blaabjerg, M Molinas, “Projections of Cyber Attacks on Stability of DC Microgrids - Modeling Principles and Solution,” IEEE Trans. Power
          Electron., vol. 37, no. 10, pp. 11774-11786, 2022.

3.       A. Cecilia, S. Sahoo, T. Dragicevic, R. Costa, F. Blaabjerg, On Addressing the Security and Stability Issues Due to False Data Injection Attacks in DC Microgrids – An
          Adaptive Observer Approach,” IEEE Trans. Power Electron., vol. 37, no. 3, pp. 2801-2814, 2021.

4.       K. Gupta, S. Sahoo, B. K. Panigrahi, F. Blaabjerg, P. Popovski, “On the Assessment of Cyber Risks and Attack Surfaces in a Real-Time Co-Simulation Cybersecurity
         Testbed for Inverter-Based Microgrids,” Energies, vol. 14, no. 16, 4941, 2021.

5.       S Sahoo, T Dragicevic and F Blaabjerg, “Multi Layer Resilience Paradigm Against Cyber Attacks in DC Microgrids,” IEEE Trans. Power Electron., vol. 36, no. 3, pp.
         2522-2532, 2020.

6.       S Sahoo, Y Yang and F Blaabjerg, ”Resilient Synchronization Strategy for AC Microgrids Under Cyber Attacks”, IEEE Trans. Power Electron., vol. 36, no. 1, pp. 73-77,
         2020.

7.       S Sahoo, T Dragicevic and F Blaabjerg, “An Event-Driven Resilient Control Strategy for DC Microgrids,” IEEE Trans. Power Electron., vol. 35, no. 12, pp. 13714-
        13725, 2020.

8.       S Sahoo, T Dragicevic and F Blaabjerg, “Resilient Operation of Heterogeneous Sources in Cooperative DC Microgrids,” IEEE Trans. Power Electron., vol. 35, no. 12,
         pp. 12601-12605, 2020.

9.       S Sahoo, J Peng, S Mishra and T Dragicevic, “Distributed Screening of Hijacking Attacks in DC Microgrids,” IEEE Trans. Power Electron., vol. 35, no. 7, pp. 7574-
          7582, 2019.

10.   S. Sahoo, S Mishra, J Peng and T Dragicevic, “A Stealth Cyber Attack Detection Strategy for DC Microgrids,” IEEE Trans. Power Electron., vol. 34, no. 8, pp. 8162-
        8174, 2018.

Organizer:     Prof. Frede Blaabjerg fbl@energy.aau.dk

Assistant Professor, Subham Sahoo sssa@energy.aau.dk

Lecturers:      Assistant Professor, Subham Sahoo, Aalborg University

ECTS:               2,5 ECTS

Date/Time:   20-22 February 2023 NEW DATES: 18-20 September 2023

Deadline        28 August 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 40

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: Artificial intelligence (AI) has significantly revolutionized research activities and industrial applications in image processing and natural language processing. Likewise, the synergy of power electronics and computer science is expected to unleash great potentials in power electronic systems as well with their transition towards data-rich ones. From the power electronics perspective, this course aims to focus on two essential aspects of this interdisciplinary field, i.e., artificial intelligence and advanced data analytics. It is organized following a typical pipeline when implementing data-driven solutions in power electronics, ranging from the initial data collection to the final decision-makings. As a 3-day course, it includes fundamentals, tools, applications, hands-on exercises, and outlook, which are specifically tailored for power electronic applications. Combining with several case studies where AI has shown great benefits, the attendees are expected to establish solid foundations and skills of AI and data analytics to address core challenges in data-driven applications in power electronics.

Day-1: Fundamentals

08:30 – 08:45

Course introduction

Huai Wang

08:45– 10:15

Data and analytic methods in power electronics

Shuai Zhao

10:15 – 10:30

Coffee break

 

10:30 – 12:00

Artificial intelligence tools in power electronics

Shuai Zhao

Lunch

 

 

13:00 – 14:15

Neural network for power electronic applications I: Fundamentals

Shuai Zhao

14:15 – 14:30

Coffee break

 

14:30 – 16:00

Neural network for power electronic applications II: Hands-on implementation

Shuai Zhao

Day-2 : Applications and Examples

09:00 – 10:15

Artificial Neural Network based Thermal Model Considering the Cross-Coupling Effects of Power Modules

Yi  Zhang

10:15 – 10:30

Coffee break

 

10:30 – 12:00

AI-based design and implementation of Model Predictive Control Algorithm

Mateja Novak

Lunch

 

 

13:00 – 14:15

Physics-informed AI to Handle Adversarial Data in Power Electronics

Subham Sahoo

14:15 – 14:30

Coffee break

 

14:30 – 15:15

Digital twin & Condition and health monitoring in power electronics

Huai Wang

15:15  – 16:00

Project introduction

Shuai Zhao

Day-3: Outlook and Project Exercise

09:00 – 10:15

Frontiers of data-driven research in power electronics and beyond

Shuai Zhao

10:15 – 10:30

Coffee break

 

10:30 – 12:00

Project & Exercise (2 projects for each participant)

P1: Digital twin-based condition monitoring of Buck converter

P2: Physics-informed neural network for dynamic systems

P3: AI-aided tuning of control parameters

Shuai Zhao, Mateja Novak,

 

Lunch

 

 

13:00 – 16:00

Project exercise and support

Shuai Zhao, Mateja Novak

 Prerequisites:

  • Fundamentals of power electronics
  • Fundamentals of probabilistic models and statistical analysis
  • Experience with MATLAB/Python

* Please get familiar with Python basics and set up your Google Colab account before the course. A tutorial of Google Colab can be found: https://www.tutorialspoint.com/google_colab/google_colab_tutorial.pdf

* Matlab installed with the predictive maintenance toolbox. You may find more details in the below link: https://www.mathworks.com/products/predictive-maintenance.html

Form of evaluation: The course is accompanied by a hands-on team project so that the theoretical tools introduced in the course can be implemented in real applications. The course evaluation will be based on the project report.


Organiser:      Professor, Huai Wang, hwa@energy.aau.dk; Assistant Professor, Shuai Zhao szh@energy.aau.dk

Lecturers:       Professor, Huai Wang, hwa@energy.aau.dkAalborg University, Assistant Professor

Shuai Zhao, szh@energy.aau.dk, Aalborg University, 

Assistant Professor, Subham Sahoo sssa@energy.aau.dk, Aalborg University

Postdoc, Mateja Novak nov@energy.aau.dkAalborg University

Postdoc, Yi Zhang yiz@energy.aau.dk, Aalborg University

ECTS:                3

Date/Time:    Apr.26-28, 2023

Deadline:         5 April 2023

Place:               AAU Energy, Aalborg

Max no. of participants: 30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:

This four‐day course provides an overview and hands‐on experience into the most common modelling methods used for the design, analysis, and planning of solar photovoltaic (PV) generation, wind power (WP) , and energy storage (ES) systems.

The course will focus on the applicability and practical implementation of the models, and cover

the following main topics:

i)                    modelling solar and wind resource: from high frequency variations to hourly, daily, and monthly averaged
                      models;

ii)                  detailed/dynamic models of the photovoltaic generator (PVG), wind turbine generator (WTG)power electronic converter (PEC) and battery storage system(BSS), used in applications where models with a high bandwidth are required, 
                     such as switching converter applications;

iii)                averaged, performance, and ageing models of the PVG, WTG, PEC, and BSS used in power system integration
                    studies, power plant design, or performance monitoring and analysis.

 

The mornings are dedicated to lectures, while the afternoons are spent with off‐line application

examples and exercises in Matlab/Simulink, and laboratory exercises focusing on Real Time

implementation using Opal‐RT, where the students will apply the models and methodology in

practice. No less than 40% of the course time is spent in the state‐of‐the‐art Photovoltaic Systems

Laboratory and the Smart Energy Systems Laboratory at the Department of Energy Technology at

Aalborg University.

 

Day 1: Modelling of photovoltaic systems – Sergiu Spataru (8 hours)

·       Modelling the solar resource, solar cells, modules and arrays

·       Performance models of the array, inverter and PV plant

·       Modelling of PV panels and systems from measurement data

·       Real-time implementation of the model

Day 2: Modelling of power converters – Tamas Kerekes (8 hours)

·       Average and switching modelling of the power converters

·       Thermal modelling of the switches

·       Modelling of different modulators for PWM

·       Comparison between the different level of modelling with the experimental results obtained

·       from dSpace

Day 3: Modelling of energy storage systems – Daniel Stroe (8 hours)

·       Battery performance testing

·       Methods of battery performance modelling and validation

·       Development of the static battery model;

·       Development of the equivalent electrical circuit based dynamic battery model based on

·       measurement data;

·       Validation of battery model

Day 4: Modelling of wind power systems – Florin Iov (8 hours)

·       Modelling of wind resource, aeromechanical part and electrical part of different wind turbine

·       concepts

·       Performance models for wind turbine systems

·       Smart grid applications including storage and PV systems

·       Modelling of wind turbine systems components

·       Real-time implementation aspects

·       HIL testing and verification of models

 

Prerequisites:

Basic Matlab/Simulink knowledge is recommended for the exercises.

 

Form of evaluation:

Individual evaluation of the student assignments received during the lecture

and laboratory exercises.

 

Literature

1. Presentations: 414 slides

2. Laboratory introduction: 48 pages

Organizer:     Associate Professor Tamas Kerekes, tak@energy.aau.dk

Lecturers:      Associate Professor Tamas Kerekes, tak@energy.aau.dk, Aalborg University

Associate Professor Florin Iov, fi@energy.aau.dk, Aalborg University

Associate Professor Daniel‐Ioan Stroe, dis@energy.aau.dk, Aalborg University

Associate Professor Sergiu Spataru, sersp@fotonik.dtu.dk, DTU

ECTS:               4

Date/Time:   21‐24 MAR 2023

Deadline         28 February 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 35

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


Description:  This PhD course is based on the textbook by H. B. Callen: “Thermodynamics and an Introduction to Thermostatistics”. It covers fundamental thermodynamic concepts such as the general principles of classical thermodynamics. It is directed at engineers but also physicists and chemists. The following chapters will be covered in detail:

·       Chapter 1:                 The problem and postulates
·       Chapter 2:                 Conditions of equilibrium
·       Chapter 3:                 Some formal relationships and sample systems
·       Chapter 4:                 Reversible processes and the maximum work theorem
·       Chapter 5:                 Alternative formulations and Legendre Transformations
·       Chapter 6:                 The extremum principle in the Legendre transformed representations
·       Chapter 7:                 Maxwell relations

During each day, lectures will be combined with examples on the black board and student exercises. The students need to become familiar with the book before the course.

Prerequisites: Basic knowledge in thermodynamics and mathematical skills including partial derivatives, Taylors expansion, and differentials.

Form of evaluation: The students will be evaluated based on a Quiz in Moodle.

Literature

Book: Herbert B. Callen. “Thermodynamics and an Introduction to Thermostatistics (2nd edition)”. Whiley, 1991 (978-0471862567). The relevant chapters, ca. 200 pages

Organizer:     Associate Professor Torsten Berning, tbe@energy.aau.dk

Lecturers:       Associate Professor Torsten Berning, Aalborg University

ECTS:               2.0

Date/Time:   6-7 June, 2023

Deadline        16 May 2023

Place:              AAU Energy, Aalborg

Max no. of participants:    25


Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.


DescriptionOptimal decision-making is a must in energy system planning and operation as the non-optimal decisions may lead to high economic losses and/or technical issues. The course on “Advanced Optimization Techniques for Energy Systems Planning and Operation” is aimed at providing an in-depth introduction to energy system optimization methods. The course will contain a wide range of the basic methods to advanced techniques with hand on examples related to energy systems. The participants will learn how to implement the methods using optimization packages such as GAMS and MATLAB.

Syllabus:

The course will mainly cover the following subjects

Day 1 (8:30-16:30- both Lecturers)

1.1. Introduction to optimization

1.2. Linear programming (geometric methods, simplex algorithm, and sensitivity) and duality theories (dual problem, weak duality theory, and strong duality theory)

1.3. Decomposition Techniques for LP (Dantzig Wolfe & Benders)

Day 2 (8:30-16:30- both Lecturers)

2.1. Mixed integer linear programming

2.2. Nonlinear programming (KKT conditions, convexity, duality)

2.3. Application of Metaheuristic Algorithms

Day 3 (8:30-16:30- both Lecturers)

3.1. Multi-objective optimization

3.2. Bi-level programming

3.3. Stochastic Optimization

3.4. Risk Modelling and Management  

Prerequisites: Basic knowledge in linear algebra and programming

Form of evaluation: The participants will be evaluated by exercises on a daily basis (both individually and in groups) and a mini-project on the optimization of energy systems at the end of the course.

Course literature:

Books:

  • A. J. Conejo, E. Castillo, P. Pedregal, R. Garcia, N. Alguacil. “Building and    Solving Mathematical Programming Models in Engineering and Science”. John Wiley & Sons, 2002.
  • A. J. Conejo, E. Castillo, R. Minguez, R. Garcia-Bertrand. “Decomposition Techniques in Mathematical Programming. Engineering and Science Applications”. Springer-Verlag, 2004.
  • Zhu, Jizhong. Optimization of power system operation. Vol. 49. Wiley. com, 2009.
  • Rao, S.S., "Optimization, Theory & Applications", 3d Ed. Wiley Eastern Ltd., (1984).
  • Soliman, Soliman Abdel-Hady, and Abdel-Aal Hassan Mantawy. Modern optimization techniques with applications in electric power systems. Springer, 2011.
  • Antonio J. Conejo, Miguel Carrión, Juan M. Morales, “Decision Making Under Uncertainty in Electricity Markets”, Springer, 2010.
  • Stephan Dempe, “Foundations of Bilevel Programming”, Springer, 2002.

Presentations:

  • Natalia Alguacil, Lecture notes on “Linear programming”, Nov. 2009.
  • Lecture notes of “LOG734 Heuristics in Analytics”, Molde University College.
  • Chun-Wei Tsai, “An Introduction to Metaheuristics”, Electrical Engineering, National Cheng Kung University.
  • Esmaeil Atashpaz Gargari et. Al, “Designing MIMO PID Controller using Colonial Competitive Algorithm: Applied to Distillation Column Process”, University of Tehran.
  • Kemal Kılıç, Lecture notes of “CS 525- Data Mining”, Sabanci University.
  • Marcelo Sampaio de Alencar, Djalma de Melo Carvalho Filho, “Cellular Network Planning”, River Publishers, 19 Dec 2016.
  • Yong Wang, “Operations Research 04G: Goal Programming”, Binghamton University.
  • Notes of Chris Fricke, “An Introduction to Bilevel Programming”, Department of Mathematics and Statistics University of Melbourne.
  • Dempe, Stephan. “Foundations of bilevel programming”, Springer, 2002.

 

Papers:

  • A. Anvari-Moghaddam, et al., “Optimal Smart Home Energy Management Considering Energy Saving and a Comfortable Lifestyle”, IEEE Trans. Smart Grid, vol.6, no.1, pp. 324-332, 2015.
  • A. Mansour-Saatloo, et al., “Robust Decentralized Optimization of Multi-Microgrids integrated with Power-to-X Technologies”, Applied Energy, vol. 304, pp. 1-22, 2021.

Organiser:     Associate Professor Amjad Anvari-Moghaddam – aam@energy.aau.dk  

Lecturers:      Associate Professor Amjad Anvari-Moghaddam – Aalborg University

Professor Behnam Mohammadi-ivatloo – University of Tabriz

ECTS:               3

Date/Time:   6 - 8 March 2023

Deadline        14 February 2023

Place:              Hybrid (Online+ AAU Energy)
Pontoppidanstræde 105, room 3.115, Aalborg             

Max no. of participants:    30

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Description: Digital controllers are now extremely powerful. With the current Field Programmable Gate Array (FPGA), designing a controller is no longer limited to the programming of a microprocessor but includes also the programming of the architecture of the processor itself along with its peripherals and its computing accelerators. As a consequence, the control designer should be now a system architect who also needs a deep understanding of the final system to be controlled. Along this line, this course aims to propose a rational use of current FPGA-based reconfigurable platforms for controlling power electronic and drive applications.

 

The following topics are covered in the course:

 

Day 1. - Introduction, presentation of the current trends in terms of digital control implementation for electrical systems.

-          Description of FPGA components (Internal architecture of FPGAs, recent System-on-Chip extension, presentation of the corresponding development tools),
           VHDL reminders.

-          Hands-on basic examples, tutorial on a current FPGA development tool chain.

 

Lecturers: Eric Monmasson (4 hours) + Mattia Rico (2 hours)

 

Day 2 and 3: - Main design rules of an FPGA-based controller: Control algorithm refinement (design of a time continuous controller, internal delay issues, digital re-design, sampling issues, quantization issues). Architecture refinement (algorithm / architecture matching, IP-modules reusability, Hardware-In-the-Loop (HIL) validation, system-on-chip extension, High Level Synthesis (HLS) design approach).

 

- Presentation of practical cases: Current control of a synchronous motor drive, sensorless control techniques (Kalman filtering, high frequency injection), Adaptive MPPT for PV applications, Fault tolerant control of Voltage Source Rectifier.

 

- Hands-on the FPGA-based control of a power converter connected to the grid. Design of different types of regulators (PI current controller, PR current controller, sliding mode current controller, predictive current controller) and their corresponding Simulink-based and HLS-based IP modules. HiL validation.

 

Lecturers: Eric Monmasson (4 hours) + Mattia Rico (2 hours)

 

Prerequisites: Matlab/Simulink knowledge and C/C++basic knowledge is recommended for the exercises

 

Form of evaluation: The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The assessment in this course will be done through a final multi-choice test in combination with delivery of exercises reports

 

Course Material:

1.       P. J. Ashenden, The Designer’s Guide to VHDL, 2nd ed., Morgan Kaufmann, 2001. 1076-2008 – IEEE Standard VHDL Language Reference Manual. 2009.
          Pong P. Chu, “FPGA Prototyping by VHDL Examples: Xilinx Spartan-3 Version”, Wiley editor, 2008.

2.       FPGA-based Controllers, E. Monmasson, L. Idkhajine, M.W. Naouar, Industrial Electronics Magazine, IEEE , vol.5, n°1, pp.14-26, Mars 2011

3.       Hardware/Software Codesign Guidelines for System on Chip FPGA-Based Sensorless AC Drive Applications, I. Bahri, L. Idkhajine, E. Monmasson, M. El Amine
          Benkhelifa, IEEE Trans. Ind. Informatics, vol. 9, no. 4, pp. 2165–2176, Nov. 2013.

4.       FPGA-Based Current Controllers for AC Machine Drives—A Review Naouar, M-W.; Monmasson, E.; Naassani, A.A.; Slama-Belkhodja, I.; Patin, N.; Industrial
          Electronics, IEEE Transactions on Volume 54, Issue 4, Aug. 2007 Page(s):1907 - 1925

5.       Fully FPGA-Based Sensorless Control for Synchronous AC Drive Using an Extended Kalman Filter, L. Idkhajine, E. Monmasson, and A. Maalouf,, IEEE Transactions
          on Industrial Electronics, vol. 59, no. 10, pp. 3908-3918, Oct. 2012

6.       Optimization of Perturbative PV MPPT Methods Through On Line System Identification, P. Manganiello, M. Ricco, G. Petrone, E. Monmasson, and G. Spagnuolo,
          IEEE Trans. Ind. Electron., vol. 61, n°12, pp. 6812–6821, Dec. 2014.

7.       Highly Efficient Smart Battery Pack for EV Drivetrains, B. Majmunovic, R. Sarda, R. Teodorescu, C. Lascu, M. Ricco, 2017 IEEE Vehicle Power and Propulsion
          Conference (VPPC), Belfort, France.

8.       Application Layer Design for Smart Battery Pack Control with Wi-Fi. Feedback, J.-L. Lafrenz, P. Scheff, M. Ricco, K. Tamas, R. L. Olsen, R. Teodorescu, M. Liserre,
         2018 IEEE Energy Conversion Congress and 
Exposition (ECCE), Portland, OR, USA.

9.       FPGA-Based Implementation of Sorting Networks in MMC Applications, M. Ricco, L. Mathe, R. Teodorescu, 18th European Conference on Power Electronics and
         Applications (EPE’16 ECCE Europe), 
Karlsruhe, Germany.

10.   Optimization of Perturbative PV MPPT Methods Through On Line System Identification, P. Manganiello, M. Ricco, G. Petrone, E. Monmasson, and G. Spagnuolo,
        IEEE Trans. Ind. Electron., vol. 61, n°12, pp. 6812–6821, Dec. 2014.

Organizer:     Profesor Juan C. Vasquez, juq@energy.aau.dkProfessor Josep M. Guerrero, joz@energy.aau.dk

Lecturers:      Professor Eric Monmasson (University of Cergy-Pontoise),  Associate Professor Mattia Ricco (University of Bologna)

ECTS:               3

Date/Time:   April 18 - 20, 2023

Max no. of participants: 15

Deadline      28 March 2023

Description:  Computational Fluid Dynamics (CFD) has been successfully used in innovative design, trouble-shooting, optimization of technologies and facilities in numerous areas. This advanced CFD course will provide a familiarity with and an in-depth understanding of the following topics and issues:

Day 1: Fundamentals of CFD (intro to CFD; the finite volume method for various steady and unsteady problems; different spatial and temporal discretization schemes, their
            formulation, assessment and applicability
). Lecturer: Chungen Yin; 7.4 hours

Day 2: RANS turbulence modeling (SIMPLE algorithm for pressure-velocity coupling; fundamentals of turbulence; different isotropic eddy viscosity models; near-wall
            modeling; meshing impact and strategies
). Lecturer: Chungen Yin; 7.4 hours

Day 3: Multiphase flow modeling (different methods for multiphase flow modeling such as Lagrangian method, Eulerian method, mixture & volume of fluid approach;
            modeling multiphase flow in porous media
). Lecturer: Torsten Berning; 7.4 hours

Day 4: Turbulent combustion modeling and user-defined functions (combustion analysis tools; species transport/eddy dissipation or EDC; mixture fraction/PDF;
            fundamentals & examples of user-defined functions
). Lecturer: Chungen Yin; 7.4 hours

During each of the four days, lectures will be combined with demos and hands-on sessions, in order to achieve the above objectives.

Prerequisites:

Basic knowledge in fluid flow, turbulence, multiphase, combustion, programming

Form of evaluation:

Finish one of the following mini-projects and submit the mini-project report.

1)      numerically solve a general transport equation using the finite volume method and the key results; or

2)      modeling of a turbulent flow using a commercial CFD code both by the default software and by developing and integrating user-defined functions.

Course literature:

1.      Book: Versteeg, H.K.; Malalasekera, W. “An introduction to computational fluid dynamics – The finite volume method (2nd edition)”. Pearson Education Limited,
         2007 (ISBN 978-0-13-127498-3). The relevant chapters, ca. 200 pages

2.      Papers & tutorials: ca. 200 pages (to be uploaded to the course homepage in Moodle)

3.      Presentations: lecture slides, ca. 350 pages (to be uploaded to the course homepage in Moodle)

Organiser:     Associate Professor Chungen Yin, chy@energy.aau.dk

Lecturers:      Associate Professor Chungen Yin, Aalborg University

Associate Professor Torsten Berning, Aalborg University

ECTS:               4.0

Date/Time:   August 22-25, 2023

Place:              AAU Energy, Aalborg

Max no. of participants:    25

Deadline         1 August 2023

Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.



Description:  A Microgrid can be defined as a part of the grid with elements of prime energy movers, power electronics converters, distributed energy storage systems and local loads, that can operate autonomously but also interacting with main grid. The functionalities expected for these small grids are: black start operation, frequency and voltage stability, active and reactive power flow control, active power filter capabilities, and storage energy management. This way, the energy can be generated and stored near the consumption points, increasing the reliability, and reducing the losses produced by the large power lines. In addition, as one of current trends and developments the Internet of Things (IoT) is affecting and will shape the society and the world in all respects. The meet of IoT and energy industry naturally brings the promise of Energy Internet round the corner to introduce significant advantages and opportunities: enhanced automation, controllability, interoperability and energy efficiency, smarter energy management, and so on. The course starts giving some examples of Microgrids in the world. The course participants not only will learn modeling, simulation and advanced control strategies of three-phase voltage source inverters operating in grid-connected mode and islanded mode, but also, how these power electronics converters are integrated in AC Microgrids and how to be extended Energy Internet at a systemic level.

Relevant concepts like frequency and voltage droop control, virtual impedance, UPS, virtual synchronize generator concept are explained in detail. Finally, this course also introduces the study of the hierarchical control of Microgrids for AC electrical distribution systems, stability analysis based on small signal models, communication technologies in AC microgrids, and Energy Internet-enabled opportunities and advanced solutions.

Day 1:  Microgrids Systems Overview, Modelling, Grid forming and Grid Feeding Control, Hierarchical Control

Josep Guerrero (3h), Yajuan Guan (3h), Yun Yu (1h)

Day 2: Stability Analysis, Passivity-based modelling, Power Flow Analysis and lab. demonstration

Josep Guerrero (1h), Yajuan Guan (3h), Ali Akhavan (2h), David Tinajero (1h)

Day 3: Virtual Synchorous generators, Industrial Microgrid applications, communications and IoT in Microgrids

Juan Vasquez (1h), Yajuan Guan (2h), Baoze Wei (1h), Babak Arbab Zavar (1h), Ying Wu (2h)

Prerequisites:

Knowledge on power electronics modelling, control theory and Matlab/Simulink is recommended for the exercises.

Form of evaluation:

The participants will be grouped and asked to team work on several case study scenarios and tasks proposed along the course. The course assessment will be done through a final multi-choice test in combination with delivery of exercises reports.

Organizer:     Profesor Juan C. Vasquez, juq@energy.aau.dkProfessor Josep M. Guerrero, joz@energy.aau.dk

Lecturers:      Profesor Josep M. Guerrero, Aalborg University,Profesor Juan C. Vasquez, Aalborg University, Assoc. Professor, Yajuan Guan, Aalborg University

                       Assistant Professor, Baoze Wei, Aalborg University, Assistant Professor Gibran Tinajero, Aalborg University, Postdoc, Ying Wu, Aalborg University

                       Postdoc, Ali Akhavan, Aalborg University, Babak Arbab Zavar, Aalborg University

ECTS:              3

Date/Time:     April 3 -5, 2023

Place             AAU Energy, Aalborg

Max no. of participants:    25

Deadline:       13 March 2023


Literature:

1.       Book chapters:

1.1.     Chapter 1 & 2 of Microgrids: Modeling, Control, and Applications (Elsevier)

2.       Articles

2.1.     J. M. Guerrero, J. Matas, L. Garcia de Vicuna, M. Castilla and J. Miret, "Decentralized Control for Parallel Operation of Distributed Generation Inverters Using Resistive Output Impedance," in IEEE Transactions on Industrial Electronics, vol. 54, no. 2, pp. 994-1004, April 2007, doi: 10.1109/TIE.2007.892621.

2.2.     J. M. Guerrero, J. C. Vasquez, J. Matas, M. Castilla and L. Garcia de Vicuna, "Control Strategy for Flexible Microgrid Based on Parallel Line-Interactive UPS Systems," in IEEE Transactions on Industrial Electronics, vol. 56, no. 3, pp. 726-736, March 2009, doi: 10.1109/TIE.2008.2009274.

2.3.     J. M. Guerrero, L. Hang and J. Uceda, "Control of Distributed Uninterruptible Power Supply Systems," in IEEE Transactions on Industrial Electronics, vol. 55, no. 8, pp. 2845-2859, Aug. 2008, doi: 10.1109/TIE.2008.924173.

2.4.     J. C. Vasquez, J. M. Guerrero, M. Savaghebi, J. Eloy-Garcia and R. Teodorescu, "Modeling, Analysis, and Design of Stationary-Reference-Frame Droop-Controlled Parallel Three-Phase Voltage Source Inverters," in IEEE Transactions on Industrial Electronics, vol. 60, no. 4, pp. 1271-1280, April 2013, doi: 10.1109/TIE.2012.2194951.

2.5.     Y. Han, H. Li, P. Shen, E. A. A. Coelho and J. M. Guerrero, "Review of Active and Reactive Power Sharing Strategies in Hierarchical Controlled Microgrids," in IEEE Transactions on Power Electronics, vol. 32, no. 3, pp. 2427-2451, March 2017, doi: 10.1109/TPEL.2016.2569597.

2.6.     J. C. Vasquez, J. M. Guerrero, J. Miret, M. Castilla and L. G. de Vicuña, "Hierarchical Control of Intelligent Microgrids," in IEEE Industrial Electronics Magazine, vol. 4, no. 4, pp. 23-29, Dec. 2010, doi: 10.1109/MIE.2010.938720.

2.7.     J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuna and M. Castilla, "Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization," in IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158-172, Jan. 2011, doi: 10.1109/TIE.2010.2066534.

2.8.     J. M. Guerrero, M. Chandorkar, T. -L. Lee and P. C. Loh, "Advanced Control Architectures for Intelligent Microgrids—Part I: Decentralized and Hierarchical Control," in IEEE Transactions on Industrial Electronics, vol. 60, no. 4, pp. 1254-1262, April 2013, doi: 10.1109/TIE.2012.2194969.

2.9.     J. M. Guerrero, P. C. Loh, T. -L. Lee and M. Chandorkar, "Advanced Control Architectures for Intelligent Microgrids—Part II: Power Quality, Energy Storage, and AC/DC Microgrids," in IEEE Transactions on Industrial Electronics, vol. 60, no. 4, pp. 1263-1270, April 2013, doi: 10.1109/TIE.2012.2196889.

2.10. Q. Shafiee, J. M. Guerrero and J. C. Vasquez, "Distributed Secondary Control for Islanded Microgrids—A Novel Approach," in IEEE Transactions on Power Electronics, vol. 29, no. 2, pp. 1018-1031, Feb. 2014, doi: 10.1109/TPEL.2013.2259506.

2.11. Y. Guan, J. M. Guerrero, X. Zhao, J. C. Vasquez and X. Guo, "A New Way of Controlling Parallel-Connected Inverters by Using Synchronous-Reference-Frame Virtual Impedance Loop—Part I: Control Principle," in IEEE Transactions on Power Electronics, vol. 31, no. 6, pp. 4576-4593, June 2016, doi: 10.1109/TPEL.2015.2472279.

2.12. Y. Guan, J. C. Vasquez, J. M. Guerrero and E. A. A. Coelho, "Small-signal modeling, analysis and testing of parallel three-phase-inverters with a novel autonomous current sharing controller," 2015 IEEE Applied Power Electronics Conference and Exposition (APEC), 2015, pp. 571-578, doi: 10.1109/APEC.2015.7104406.

2.13. Y. Guan, J. C. Vasquez and J. M. Guerrero, "An enhanced hierarchical control strategy for the Internet of Things-based home scale microgrid," 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), 2017, pp. 51-56, doi: 10.1109/ISIE.2017.8001222.

2.14. B. Wei, J. M. Guerrero, J. C. Vásquez and X. Guo, "A Circulating-Current Suppression Method for Parallel-Connected Voltage-Source Inverters With Common DC and AC Buses," in IEEE Transactions on Industry Applications, vol. 53, no. 4, pp. 3758-3769, July-Aug. 2017, doi: 10.1109/TIA.2017.2681620.

2.15. B. Wei, A. Marzàbal, R. Ruiz, J. M. Guerrero and J. C. Vasquez, "DAVIC: A New Distributed Adaptive Virtual Impedance Control for Parallel-Connected Voltage Source Inverters in Modular UPS System," in IEEE Transactions on Power Electronics, vol. 34, no. 6, pp. 5953-5968, June 2019, doi: 10.1109/TPEL.2018.2869870.

2.16. B. Wei, Y. Gui, S. Trujillo, J. M. Guerrero, J. C. Vásquez and A. Marzàbal, "Distributed Average Integral Secondary Control for Modular UPS Systems-Based Microgrids," in IEEE Transactions on Power Electronics, vol. 34, no. 7, pp. 6922-6936, July 2019, doi: 10.1109/TPEL.2018.2873793.

2.17. B. Wei, A. Marzàbal, J. Perez, R. Pinyol, J. M. Guerrero and J. C. Vásquez, "Overload and Short-Circuit Protection Strategy for Voltage Source Inverter-Based UPS," in IEEE Transactions on Power Electronics, vol. 34, no. 11, pp. 11371-11382, Nov. 2019, doi: 10.1109/TPEL.2019.2898165.

2.18. Babak Arbab-Zavar, Emilio J. Palacios-Garcia, Juan C. Vasquez, Josep M. Guerrero, "LoRa Enabled Smart Inverters for Microgrid Scenarios with Widespread Elements," in Electronics, 2021, 10(21), 2680; https://doi.org/10.3390/electronics10212680.

2.19. E. J. Palacios-Garcia, B. Arbab-Zavar, J. C. Vasquez and J. M. Guerrero, "Open IoT Infrastructures for In-Home Energy Management and Control," 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin), 2019, pp. 376-379, doi: 10.1109/ICCE-Berlin47944.2019.8966225.

2.20. Babak Arbab-Zavar, Suleiman M. Sharkh, Emilio J. Palacios-Garcia, Juan C. Vasquez, Josep M. Guerrero, "Reducing Detrimental Communication Failure Impacts in Microgrids by Using Deep Learning Techniques," Sensors, 2022, 22(16), 6006; https://doi.org/10.3390/s22166006.

2.21. Y. Yu et al., "A Reference-Feedforward-Based Damping Method for Virtual Synchronous Generator Control," in IEEE Transactions on Power Electronics, vol. 37, no. 7, pp. 7566-7571, July 2022, doi: 10.1109/TPEL.2022.3152358.

2.22. Y. Yu, S. K. Chaudhary, S. Golestan, G. D. A. Tinajero, J. C. Vasquez and J. M. Guerrero, "An Overview of Grid-Forming Control for Wind Turbine Converters," IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi: 10.1109/IECON48115.2021.9589838.

2.23. Y. Yu et al., "A Comparison of Fixed-Parameter Active-Power-Oscillation Damping Solutions for Virtual Synchronous Generators," IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi: 10.1109/IECON48115.2021.9589433.

2.24. Q. -C. Zhong, P. -L. Nguyen, Z. Ma and W. Sheng, "Self-Synchronized Synchronverters: Inverters Without a Dedicated Synchronization Unit," in IEEE Transactions on Power Electronics, vol. 29, no. 2, pp. 617-630, Feb. 2014, doi: 10.1109/TPEL.2013.2258684.

2.25. T. Shintai, Y. Miura and T. Ise, "Oscillation Damping of a Distributed Generator Using a Virtual Synchronous Generator," in IEEE Transactions on Power Delivery, vol. 29, no. 2, pp. 668-676, April 2014, doi: 10.1109/TPWRD.2013.2281359.

2.26. S. Wang, J. Hu and X. Yuan, "Virtual Synchronous Control for Grid-Connected DFIG-Based Wind Turbines," in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 3, no. 4, pp. 932-944, Dec. 2015, doi: 10.1109/JESTPE.2015.2418200.

2.27. Lashab, D. Sera, J. Martins and J. M. Guerrero, "Dual-Input Quasi-Z-Source PV Inverter: Dynamic Modeling, Design, and Control," in IEEE Transactions on Industrial Electronics, vol. 67, no. 8, pp. 6483-6493, Aug. 2020, doi: 10.1109/TIE.2019.2935927.

2.28. Lashab, D. Sera, F. Hahn, L. Juarez Camurca, M. Liserre and J. M. Guerrero, "A Reduced Power Switches Count Multilevel Converter-Based Photovoltaic System With Integrated Energy Storage," in IEEE Transactions on Industrial Electronics, vol. 68, no. 9, pp. 8231-8240, Sept. 2021, doi: 10.1109/TIE.2020.3009594.

3.       Presentations

3.1.     Microgrid as a way of life by Prof. Josep M Guerrero https://www.youtube.com/watch?v=T-y8rW6oQq8

4.       Laboratory introduction Handbook (provided via Moodle)


Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT


Important information concerning PhD courses:


We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.