Description: 

Lithium-ion (Li-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 the Lithium-ion battery applications, such as EVs, grid support, nano-satellites and forklifts. 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 aforementioned application 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 the battery applications: charge/discharge management, battery cell balancing, and safety protection. In consequence, this course will provide an extensive state-of-the-art on the power electronics solutions for battery charge/discharge management.

Prerequisites: A degree in electrical engineering or control engineering and Matlab/Simulink knowledge are strongly recommended. The course language is English.

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

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

Lecturers:
Prof. Remus Teodorescu ret@energy.aau.dk,  Aalborg University
Assoc. Prof. Daniel Stroe dis@energy.aau.dk, Aalborg University
Assoc. Prof. Erik Schaltz esc@energy.aau.dk , Aalborg University
Dr. Vaclav Knap vkn@energy.aau.dk, GomSpace/Aalborg University
Dr. Maciej Swierczynski mas@lithiumbalance.com, Lithium Balance A/S

ECTS: 2

Time: 27 and 28 October 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 30

Deadline: 6 October 2022

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.


DescriptionPublication 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.

Prerequisites: No

Form of evaluation: Group exercise-based evaluation

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

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

ECTS: 1.5

Time: 7-8 June 2022 (1.5 days)

Place: AAU Energy, Aalborg

Number of seats: 35

Deadline: 17 May 2022

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

 Schedule


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

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

Lecturers: Jens Bo Holm Nielsen, Mette Hedegaard Thomsen, Tanmay Chaturvedi - AAU, Esbjerg

ECTS: 5

Time: 22-26 August 2022

Place: Niels Bohrs Vej 8, 6700 Esbjerg, Aalborg University

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 30

Deadline: 1 August 2022

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 of all 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 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 appropriate simulation tools like PSCAD and/or DigSILENT.


Day 1: Overview of Conventional Power System Structure Modern Power System, and Introduction to Power system stability by Sanjay K Chaudhary and Jaykrishnan R. Pillai (3.5 hours lecture + 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 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.

Organizer: Associate Prof Sanjay K. Chaudhary

Lecturers:
Associate Prof. Sanjay K. Chaudhary (skc@energy.aau.dk), AAU Energy
Associate Prof. Jayakrishnan Radhakrishna Pillai (jrp@energy.aau.dk), AAU Energy
Gibran David Agundis Tinajero gdat@energy.aau.dk; AAU Energy
Rakesh Sinha rsi@energy.aau.dk, AAU Energy

ECTS: 3

Time: 31 October – 2 November 2022, Time: 08:30 – 16:30

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 15

Deadline: 10 October 2022

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.

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

Form of evaluation: Written examination

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

Lecturers:
Professor Birgitte Bak-Jensen, AAU Energy
Associate Professor Jayakrishnan Pillai, AAU Energy
Associate Professor Florin Iov, AAU Energy
Assistant Professor Pavani Ponnaganti, AAU Energy
Post Doc, Rakesh Sinha, AAU Energy
Associate Professor Rasmus Løvenstein Olsen, AAU ES

ECTS: 3

Time: 13-16 September 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 20

Deadline: 7 September 2022

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:
Lecture 1: Introduction of Reliability of PV inverters (4 hours, ARS)
· Power electronics in PV application
· Reliability engineering for power electronics

Lecture 2: Design for Reliability of PV inverters (4 hours, ARS)
· Mission profile-based reliability evaluation of PV inverters
· Parameter variation

Day 2:
Lecture 3: Reliability of DC-link capacitors in PV inverters (4 hours, HAO)
· Reliability of DC-link in PV application
· Passive DC-link: Modeling, design, and optimizations
· Active DC-link: Semiconducting dc-link capacitors

Lecture 4: Methods to enhance reliability of PV inverters (4 hours, ARS)
· Reliability testing of PV inverter
· Control for reliability of PV inverter
· Emerging Technologies and Trends

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

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

Lecturers:
Assist. Prof. Haoran Wang, AAU Energy
Postdoc Ariya Sangwongwanich, AAU Energy

ECTS: 2

Time: 9-10 June 2022

Place: AAU Energy, Pontoppidanstraede 101, room 1.001

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 30

Deadline: 19 May 2022

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

Course schedule

Feb 14, 2022, 08.30-16.00
L0 Introduction to the reliability in PEPS (Frede – 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)

Feb 15, 2022, 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)

Feb 16, 2022, 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 exercises on the reliability of PEPS

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

Lecturers:
Saeed Peyghami, Aalborg University
Frede Blaabjerg, Aalborg University

ECTS: 3

Time: 14-16 February 2022: 3-day lecture

Place: AAU Energy, Aalborg

Number of seats: 30

Deadline: 24 January 2022

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 200 participants from universities and companies have been trained in this 3-day course. By considering the feedback from participants and newly obtained research results from CORPE in the last few years, the 2022 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:

1) Introduction to modern reliability and robustness approach

2) Reliability testing methods and testing data analysis (e.g., Weibull)

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

4) Power electronics system-level reliability assessment and design tools

5) Condition monitoring and thermal control of critical power electronic components

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

Form of evaluation: Case study exercise and report submission

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

Lecturers:
Professor Huai Wang, AAU Energy
Professor Francesco Iannuzzo, AAU Energy
Ass. Professor Dao Zhou, AAU Energy
Reliability Advisor Peter de Place Rimmen, Rimmen Reliability Consult ApS

ECTS: 4

Time: 20-23 September 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 40

Deadline: 30 August 2022

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

Josep Guerrero (1h), Alexander Micallef (4h), Juan Vasquez (0.5h), Yacine Terriche (0.5)

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.

Organizer:
Professor Josep M. Guerrero, joz@energy.aau.dk
Professor Juan C. Vasquez, juq@energy.aau.dk

Lecturers:
Assistant Professor Alexander Micallef (University of Malta)
Assistant Professor Saeed Golestan, AAU Energy
Postdoctoral researcher, Yacine Terriche, AAU Energy
Professor Josep M. Guerrero, AAU Energy
Prof. Juan Vasquez, AAU Energy

ECTS: 2

Time: 2-3 May 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 20

Deadline: 11 April 2022

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.

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: Converter case study design and testing report.

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

Lecturers:
Professor Huai Wang, Aalborg University
Assistant Professor Haoran Wang, Aalborg University
Assistant Professor Subham Sahoo, Aalborg University
Guest Postdoc Yi Zhang, Aalborg University

ECTS: 4

Time: 27-30 September 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 40

Deadline: 6 September 2022

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:
Interaction between fluid and a human-made structure or device is design critical in a wide range of engineering disciplines. When designing bridges, cars, wind turbines and when optimising electronics cooling, ship hulls etc. Computational Fluid Dynamics (CFD) software is becoming an ever more important design tool. CFD enables faster design loop iteration by detailed flow analysis in or around a proposed design in a virtual environment.

This course is an introduction to CFD using OpenFOAM which is the most widely used open source toolkit for CFD. The fact that OpenFOAM is open source makes it extremely versatile allowing the user to modify any aspect of the code to his/her needs. While large scale simulations with commercial CFD software can be extremely expensive due to licence fees, OpenFOAM can be run on massively parallel HPC’s at no additional cost.

Prerequisites: Participants must have basic understanding of the physics of fluids and the usage of CFD methods. Furthermore, basic skills in general use of computers are expected. The participants will work with exercises on an OpenFOAM installation on Microsoft Azure, so before the first day you must sign up for an account on Azure and preferably log in and verify the installation (more detailed info provided after sign-up).

Furthermore, fundamental knowledge of OpenFOAM is expected. We recommend that new OpenFOAM users start with the course “Open-source Computational Fluid Dynamics – 1. Fundamentals“. Additionally, basic knowledge in Python programming is recommended.

Form of evaluation: A standard mini-project must be delivered (4-8 pages) in addition to the OpenFOAM code. The mini-report should explain and document an OpenFOAM workflow along with modifications to either a flow solver, boundary conditions or functions objects

Organizer:
Assistant Prof. Jakob Hærvig, jah@energy.aau.dk
Assistant Prof. Johan Rønby

Lecturers:
Assistant Professor Jakob Hærvig, AAU Energy
Assistant Professor Johan Rønby

ECTS: 3

Time: 22-24 June 2022

Place: AAU Energy, Aalborg

Pricehttps://opensourcecfdcourse.dk/registration/ 

Number of seats: 20

Deadline: 1 June 2022

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:
Interaction between fluid and a human-made structure or device is design critical in a wide range of engineering disciplines. When designing bridges, cars, wind turbines and when optimising electronics cooling, ship hulls etc. Computational Fluid Dynamics (CFD) software is becoming an ever more important design tool. CFD enables faster design loop iteration by detailed flow analysis in or around a proposed design in a virtual environment.

This course is an introduction to CFD using OpenFOAM which is the most widely used open source toolkit for CFD. The fact that OpenFOAM is open source makes it extremely versatile allowing the user to modify any aspect of the code to his/her needs. While large scale simulations with commercial CFD software can be extremely expensive due to licence fees, OpenFOAM can be run on massively parallel HPC’s at no additional cost.

Prerequisites: Participants must have basic understanding of the physics of fluids and the usage of CFD methods. Furthermore, basic skills in general use of computers are expected. The participants will work with exercises on an OpenFOAM installation on Microsoft Azure, so before the first day you must sign up for an account on Azure and preferably log in and verify the installation (more detailed info provided after sign-up).

Form of evaluation: A standard mini-project must be delivered (4-8 pages) in addition to the OpenFOAM code. The mini-report should explain the choices made with regard to the OpenFOAM setup and present the outcome of the simulations.

Organizer:
Associate Prof. Jakob Hærvig, jah@energy.aau
Associate Prof. Johan Rønby, johan@ruc.dk

Lecturers:
Associate Professor Jakob Hærvig, AAU
Associate Professor Johan Rønby, RUC

ECTS: 2

Time: 20-21 June 2022

Place: AAU Energy, Aalborg

Price: https://opensourcecfdcourse.dk/registration/ 

Number of seats: 20

Deadline: 30 May 2022

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.

The Ph.D. course will include fundamental knowledge of energy sources, energy conversion systems, new energy technologies, multi energy system integration, transmission, and distribution. Optimisation of energy systems. Basic techniques of analysis, operation, control and optimisation of energy system will be presented. Some contents are based on up-to-date research results.

Prerequisites: General knowledge in electrical AC circuits and electrical power engineering, preferably background at the graduate level in power systems. Exercises involve Matlab, Yalmip toolbox and GAMS.

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

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

Lecturers:
Professor Zhe Chen, AAU Energy
Professor Mauro Cappelli, ENEA
Assistant Professor Yanbo Wang, AAU Energy
PhD researchers, AAU Energy

ECTS: 3

Time: 28-30 June 2022 / 8:30-16:00

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 30

Deadline: 7 June 2022

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:
Intelligent and multivariable control methods are growing in the industrial electronic systems like power electronic converters, renewable energy systems and electric drives. The course is focused on the application of multivariable control and intelligent control techniques for industrial electronic systems. The main topics are as follows:

- State feedback control theory

- Design and implementation of fuzzy controller for industrial electronic systems

- Design and implementation multivariable Control theory for industrial electronic systems

Prerequisites: Control theory, power electronics

Form of evaluation: Mini projects

Organizer:
Associate Professor, Amin Hajizadeh (aha@energy.aau.dk)
Associate Professor, Mohsen Soltani (sms@energy.aau.dk)

Lecturers:
Amin Hajizadeh, AAU Energy
Mohsen Soltani, AAU Energy

ECTS: 5

Time: 12-16 December 2022

Place: Niels Bohrs Vej 8, 6700 Esbjerg, Aalborg University

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 15

Deadline: 21 November 2022

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, Basics of Power system faults analysis (ZCH 2.0 hours)
Basics of Power system protection (ZCH 1.0hours)
Fault characteristics of Power Electronic interfaced Renewable Power Plants (PERPP) (KMA 1.5hours)
Impacts of PERPP on power system protection (KMA 1.5hours)

Day 2:
Possible protection solutions for PERPP based power systems (KMA 1.5hours)
Research topic on modern power system protection -1 (PhD researcher 1 ,1.5hours)
Research topic on modern power system protection -2 (PhD researcher 2, 1.5hours)
Discussion / Homework (ZCH 0.5hours)

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.

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

Lecturers:
Professor Zhe Chen, Aalborg University
Post doc. Fellow Kaiqi MA, Aalborg University
PhD researchers, Aalborg University

ECTS: 2

Time: 7-8 February 2022 / 8:30-16:00

Place: AAU Energy, Aalborg

Number of seats: 30

Deadline: 17 January 2022

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.

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.

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

Lecturers: Prof. Francesco Iannuzzo, AAU Energy

ECTS: 2

Time: 29-30 August 2022, all days 8:30 – 16:30

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 15

Deadline: 8 August 2022

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 and limited 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. Finally, the third problem is how to translate the results of the optimization process into concrete actions that will manage the resources. This means that the digital outcome or solution must be interface with physical systems which general involves a communication infrastructure.

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, network, 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) and advanced metering infrastructures (AMI).

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 , Yajuan Guan, Josep Guerrero, Juan C. Vasquez

Day 2: Introduction to Energy management systems of Microgrids – Najmeh Bazmohammadi , Yajuan Guan, Josep Guerrero, Juan C. Vasquez

Day 3: Applications to Microgrid Systems – Najmeh Bazmohammadi , Yajuan Guan, Josep Guerrero, Juan C. Vasquez

Form of evaluation: The participants will be grouped and asked to teamwork 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

Prerequisites: Familiarity with basics of real analysis, 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
Assist. Prof Yajuan Guan , AAU Energy
Professor Juan Vasquez, AAU Energy
Professor Josep M. Guerrero, AAU Energy

ECTS: 3

Time: 16-18 November 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 20

Deadline: 26 October 2022

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, Yacine Terriche

Day 2: DC shipboard microgrids: Evolution and Research
Josep M. Guerrero, Yacine Terriche

Prerequisites: The course exercises will be done via MathCad and 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

Organizer:
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 – Yacine Terriche, yte@energy.aau.dk

ECTS: 2

Time: 5-6 May 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 20

Deadline: 14 April 2022

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:
Machine 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 models will include sequential and non-sequential approaches, univariate and multivariate outcomes, Bayesian and frequentist frameworks, as well as the reduction and selection of features for modelling. The general aim of these methods is to predict capacity degradation, resistance increase, and remaining useful life 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: Introduction to Machine Learning and Bayesian statistics – Søren B. Vilsen & Daniel Stroe (8 hours)

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

· Bayesian statistics, sequential model updating, and remaining useful life estimation.

· Auto-regressive models, Kalman-filtering, and state intervention for state-of-charge and state-of health estimation.

· Battery performance parameters for state-of-health estimation

Day 2: Machine learning for battery SOH estimation – Søren B. Vilsen & Daniel Stroe (8 hours)

· Feature reduction using principle components analysis and auto-encoders.

· Feature selection using subset selection, partial least squares, and shrinkage methods.

· Support vector regression, Gaussian process regression, and neural networks.

· Boosting, ensemble learning, and interpreting black-box methods.

Prerequisites: Fundamental understanding of probability, statistics, and is recommended, as is basic knowledge of either R or Matlab. Note: the course language is English.

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

Organizer: Assoc. Prof. Daniel-Ioan Stroe, dis@energy.aau.dk

Lecturers:
Postdoc. Søren B. Vilsen, AAU-MATH
Assoc. Prof. Daniel-Ioan Stroe, AAU Energy

ECTS: 2.0

Time: 24-25 May 2022

Place: AAU Energy, Aalborg (hybrid)

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 30

Deadline: 3 May 2022

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 power 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.

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

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

Time: 09-11 February 2022  28-30 November 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 25

Deadline: 7 November 2022

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, microgrids, (nano-)satellites, 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 (electrical) and degradation (lifetime) behavior strongly influenced by the operating conditions (e.g., temperature, load current, number of cycles, idling time etc.). Therefore, in order to benefit from Lithium-ion batteries’ characteristics, precise knowledge about the performance and degradation behavior has to be known at all moments during the lifetime.

Thus, this three-day course provides 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 data-sheet 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.

Prerequisites: Fundamental (basic) electrical knowledge, engineering degree and Matlab/Simulink and Matlab/Simulink knowledge are strongly recommended. The course language is English.

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

Organizer: Assoc. Prof. Daniel Stroe, Aalborg Universit

Lecturers:
Assoc. Prof. Daniel Stroe dis@energy.aau.dk, Aalborg University
Assoc. Prof. Erik Schaltz esc@energy.aau.dk, Aalborg University
Postdoc Xin Sui xin@energy.aau.dk, Aalborg University

ECTS: 3.0

Time: 24 – 26 October 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 30

Deadline: 3 October 2022

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 is designed to teach students about biofuels and biomass liquefaction technology in the context of energy and chemical products. The course will introduce fundamental principles of liquefaction, focusing on hydrothermal liquefaction. Based on this, it will move on to process analysis and design, process modeling tools and process implementation. Furthermore, the course discusses upgrading technology for biocrudes and drop-in biofuels approach. The course will introduce analytical techniques for product stream analysis and data interpretation with specific reference to liquefaction product streams and their special characteristic. Throughout the course, material taught will be exemplified by or related to experiences and best-practice methods obtained through designing and operating advanced liquefaction equipment. Through a series of lectures, lab session on product analysis and visit to the CBS pilot plant, students will learn how to design, analyze, and scale up various biomass liquefaction technologies for bioenergy production.

· Energy conversion processes and conversion technologies specifically hydrothermal liquefaction.

· Mass and energy balances, unit operations, and thermodynamics in HTL conversion technology.

· Introduction and implementation of Aspen Plus® process simulator for techno economical analysis of HTL process -case study.

· Product characterization techniques through laboratory instrumentation.

Prerequisites: Chemistry, chemical or process engineering at BSc/MSc level

Form of evaluation: Individual mini report

Organizer: Associate Professor, Saqib Sohail Toor, sst@energy.aau.dk

Lecturers:
Saqib Sohail Toor (Ass. Prof. Aalborg University)
Thomas Helmer Pedersen (Ass. Prof. Aalborg University)
Daniele Castello (Assis. Prof. Aalborg University)
Kamaldeep Sharma (Postdoc. Aalborg University)
Anne Kofoed Rasmussen (Laboratory Engineer, Aalborg Universality)

ECTS: 3

Time: 1-3 March 2022

Place: AAU Energy, Aalborg

Number of seats: 15

Deadline: 8 February 2022

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 in power systems with high level wind power penetration.

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

· Wind power impacts on power system stability and protection

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)
Offshore wind farms and optimization of wind farms (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)
Frequency response and regulation technology (YWA 1.5hours)
Wind power impacts on power system stability (1) (YWA 1.2hours) 

Day 4:

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

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

Lecturers:
Professor Zhe Chen, Aalborg University
Assistant Professor Yanbo Wang, Aalborg University
Post doc. Kaiqi MA, Aalborg University

ECTS: 4

Time: 25-28 January 2022 / 8:30-16:00

Place: AAU Energy - ONLINE

Number of seats: 30

Deadline: 4 January 2022

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

· 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 stability theory (ZCH) (1.5h)
Frequency stability of power system (YWA) (1.5h)
Frequency response and regulation of renewable energy plant (YWA) (1.5h)

Day 2:
Small signal stability and analysis method (YWA) (1.5h)
Large signal stability and analysis method (YWA) (1.5h)
Sub-synchronous oscillation (YWA) (1.5h)
Effects of power electronic-dominated renewable energy on stability of power system (YWA) (1.5h)

Day 3:
Voltage stability and response dynamics (ZCH) (1.5h)
Research project example on power system stability (PhD researcher) (1.5h)
Demonstration and practice in Digsilent or RTDS (KMA) (2h)

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

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

Lecturers:
Professor Zhe Chen, Aalborg University
Assistant Professor Yanbo Wang, Aalborg University
Post doc. Kaiqi MA, Aalborg University
PhD researchers, Aalborg University, Denmark

ECTS: 3

Time: 22-24 February 2022 / 8:30-16:00

Place: ONLINE

Number of seats: 30

Deadline: 1 February 2022

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 recent trend is to augment wind power with solar PV production and various batteries-based energy storage systems in so-called hybrid power plants. In this way, a better utilization of plant infrastructure, a steady power output over longer time periods and thus a better integration in energy markets are achieved. Moreover, such a plant can deliver firm ancillary services which may not be provided by the individual components alone. These three days course gives a systematic approach for modelling, control design and operation of Hybrid Power Plants using the Model-Based Design approach. It includes a wide range of hands-on exercises as well as demonstrations in a Real-Time Hardware-In-the Loop framework.

The main focus in this course will be on:

· Plant architectures and interoperability

· Balance of plant configuration, topologies and sizing

· Information and communication technologies

· Model based approach for control design

· Grid Monitoring and Ancillary services

· Market participation

Lectures are alternated with practical exercises on each major topic. More than 40% of the course is used for practical exercises and laboratory demonstrations.

Day 1:

Hybrid Power Plants – an overview (2.5 hours)

· Main components and challenges

· Plant architectures and interoperability layers

· Market integration and grid support services

· Practical considerations on Balance of Plant

· Methodologies and tools for design and assessment (offline simulations and RT-HIL)

Information and Communication Technologies (3.5 hours)

· Communication networks architectures and technologies

· Protocols and standards

· Performance definitions and classification

· Models for ICT (offline simulations and RT-HIL)

· Practical exercises

Day 2:

Modelling of Assets and Grid (2 hours)

· Modelling requirements for specific studies

· Performance models vs detailed models (wind turbines, PV, energy storage, etc.)

· Grid models (voltage control studies, frequency control studies)

· Practical exercises

Grid Monitoring – (2 hours)

· technologies and required functionalities

· signal processing and calculation of main variables (filtering, RMS calculation)

· estimation techniques for frequency and ROCOF

· Practical exercises

Control Design – (2 hours)

· Active and reactive power control

· Runtime power dispatchers

· Intra-plant estimation techniques

· Practical exercises

Day 3:

Ancillary Services (2 hours)

· Frequency and voltage regulation

· Other advanced functionalities (e.g. PSS like, power smoothening, power firming)

· Practical exercises

Market Participation (2 hours)

· Overview of energy and ancillary service markets

· Optimization framework for economic dispatch

· Practical exercises

Rapid Control Prototyping and Verification (2 hours)

· Architectures and practical considerations for RT-HIL deployment

· Demonstrations of operation and control of a hybrid power plant in a RT-HIL framework

Prerequisites: Basic knowledge on Matlab/Simulink including Toolboxes is recommended for the exercises.

Form of evaluation: Individual evaluation of the student assignments received during the lecture and exercises.


Organizer: Associate Professor Florin Iov, fi@energy.aau.dk

Lecturers: Associated Professor Rasmus Olsen Løvenstein rlo@es.aau.dk

ECTS: 3

Time: 20-22 April 2022

Place: AAU Energy, Aalborg

Number of seats: 20

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Deadline: 30 March 2022


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.

Syllabus: 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: No.

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.

Intended Audience:

· Researchers and utility engineers interested in modern energy system operation, planning and related activities

· Actors in decision making and policy process

· (Post-)Graduate students and researchers in energy engineering, planning, economics, and finance.

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

Time: 14 - 15 March 2022

Place: AAU Energy - ONLINE

Number of seats: 25

Deadline: 21 February 2022

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 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.

The participants in the course will learn 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.

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:
    • Network size;
    • Modelling precision;
    • Model validation;

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 co-ordination study.

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

Lecturers: Associate Professor Filipe Faria da Silva, Aalborg University

ECTS: 3

Time: 12-14 October 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 15

Deadline: 29 September 2022

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 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.

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

Lecturers:
Associate Professor Torsten Berning - AAU Energy
Associate Professor Vincenzo Liso - AAU Energy
Associate Professor Samuel Araya - AAU Energy
Professor Søren Højgaard Jensen -  AAU Energy

ECTS: 3.5

Time: 31 May – 3 June 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 25

Deadline: 10 May 2022

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:
Environmental concerns and various benefits of small on-site generation have resulted in significant penetration of dispersed generation in many distribution systems. But, this has resulted in various operational problems. This course aims to address various challenges and opportunities with having a lot of dispersed generation in a network. It focuses on the balancing, stability and reliability problems in the network together with power quality. In addition, various aspects of islanded operation of distribution systems with dispersed generation are also discussed. The course also covers the role of electric vehicles and other flexible loads as a provider of ancillary services in the future electric power systems.

Day 1:

· Lecture 1: Energy Demand and Security of Power Supply (BBJ) (9.00-10.30)
The lecture introduces the trends of energy demand, relevance of dispersed generation, and challenges and solutions to security of future power systems.

· Lecture 2: Renewable Energy Sources and Storage Systems (FI) (10.45-12.00)
Different topologies of distributed energy resources, its characteristics and technologies are presented in the lecture.

· Lecture 3: Power Quality (BBJ) (13.00-16.00)
It includes various topics related to origin and consequences of various grid disturbances affecting power quality, and apparatus to compensate for the different disturbances.

Day 2:

· Lecture 4: Smart Grids (JRP) (9.00-10.30)
The trends and relevance of smart grids and smart energy systems, its architectures and importance of demand side management are covered in this lecture.

· Lecture 5: Grid Connection Requirements for Dispersed Generation (JRP) (10:45-12:00)
The various technical challenges and solutions to integrate DERs, grid codes for grid connection for various types of dispersed generation and storage units are presented.

· Lecture 6 – Flexible Demand and Ancillary Services (JRP) (13.00-16:00)
The lecture introduces the importance of ancillary services, need for alternative balancing reserves in renewable dominated power systems, application of flexible demand units (electric vehicles, heat pumps etc.) in power system operation and impact assessment of flexible demand units on distribution networks.

Day 3:

· Lecture 7: Grid Synchronisation and Island Detection (BBJ) (9.00-10.15)
Methods for grid synchronisation and island detection in renewable dominated power systems are presented in this lecture.

· Lecture 8: Control and Operation of island systems (FI) (10.30-12.00)
The various topics covered in this lecture includes frequency control and voltage control from DERs, protection issues and load shedding in distributed generation based power systems.

· Lecture 9: Simulation tools for Distributed Generation (FI) (13.00-16.00)
Modelling and Simulation of DERs, impacts and its control in electricity grids are conducted in Matlab

 

Day 4:

· Lecture 10: Exercises - Simulation tools for Distributed Generation (FI) (9:00-12:00)
Modelling and Simulation of DERs, impacts and its control in electricity grids are conducted in Matlab

Examination (JRP) (13.00 – 15.00)

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

Form of evaluation: Written examination

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

Lecturers:
Professor Birgitte Bak-Jensen (BBJ), AAU Energy
Associate Professor Jayakrishnan R. Pillai (JRP), AAU Energy
Associate Professor Florin Iov (FI), AAU Energy

ECTS: 3.5

Time: 17-20 May 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 20

Deadline: 26 April 2022

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 fundamentals of Power Switches operations from a physical point of view, together with the specific peculiarities and the reason to use them in a special application.

An overview on different packaging technologies and their properties, advantages and disadvantages, is also given. Requirements from the applications and possibilities to tackle them with a semiconductor package solution will be proposed.

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

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

Lecturers:
Prof. Eckart Hoene, Fraunhofer IZM Berlin, Germany
Prof. Francesco Iannuzzo, AAU Energy
Prof. Kjeld Pedersen, AAU MP
Associate Professor, Vladimir Popok, AAU VP

ECTS: 3

Time: 9-11 November 2022, all days 8:30 – 16:30

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 15

Deadline: 19 October 2022

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:
In this course, the continuously growing importance of power electronics and the need for long and reliable power semiconductor devices will be addressed. First, an introduction to the most widely used power semiconductor devices will be given with a short introduction to its operation principle. Then, the role of the parasitic elements and thermal stresses in real applications, without forgetting about abnormal operations such as short-circuit will be addressed. With the target of accelerating the transition towards long-term lifetime of power electronic systems, four golden rules for reliable power module design will be proposed, which includes reliable operation under both normal and abnormal conditions.

On the second day, an overview of the most common failure mechanisms in silicon IGBTs and SiC MOSFETs will be presented. The prediction of such failure modes is complex since they can be triggered due to many parameters, such as temperature, voltage variation, inductive and capacitance effects, unbalanced current distribution and also EMI (Electro Magnetic Interference). Examples of instabilities will be given and the PhD student will become familiar with the failures that one can find in the field. The student will learn through a software tool, such as PSpice, how to model abnormal operations aiming at increasing the device robustness.

The course is organized in two consecutive days of full-time activities, covering the following:

Prerequisites: basic knowledge of circuit theory and device semiconductor behavior.

Form of evaluation: the PhD student must simulate with PSpice a simple semiconductor power module including chips in parallel and inductive elements under both normal and abnormal operations. The exercise can be done in group of 2-3 members. Assessment is on individual basis, with oral Q&A session.

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

Lecturers:
Prof. Francesco Iannuzzo, AAU Energy
Assist. Prof. Amir Sajjad Bahman, AAU Energy

ECTS: 2

Time: 1-2 December 2022, all days 8:30 – 16:30

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 15

Deadline: 10 November 2022

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.

Day 1: DC Microgrids Introduction, Design and Control.
Josep Guerrero (3h), Baoze Wei (3h)

Day 2: DC Collector Grids for WPPs and Hierarchical Control of Microgrids
Sanjay Chaudhary (1.5h), Josep Guerrero(1.5h), Baoze Wei (3h)

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.

Organizer:
Professor Josep M. Guerrero, joz@energy.aau.dk
Professor Juan C. Vasquez, juq@energy.aau.dk 

Lecturers:
Professor Josep M. Guerrero, Aalborg University
Associate Professor Sanjay K. Chaudhary, Aalborg University
Assistant Professor Baoze Wei, Aalborg University

ECTS:
 2

Time:
 28 – 29 April 2022

Place:
 AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 20

Deadline:
 7 April 2022

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, etc. All 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 realtime, (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.   

Organizer:
Professor Frede Blaabjerg, fbl@energy.aau.dk  
Assistant Professor, Subham Sahoo, sssa@energy.aau.dk 

Lecturers:
 Assistant Professor, Subham Sahoo, Aalborg University

ECTS:
 2,5

Time:
 28 - 30 March 2022 

Place:
 AAU Energy, Aalborg 

Number of seats:
 25

Deadline:
 7 March 2022

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-making. As a 3-day course, it includes fundamentals, tools, applications, outlook, and hands-on exercises, 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 of data-driven solutions in power electronics (Shuai Zhao, Huai Wang, 8:30-16:30) 
This course will first get the attendees familiar with the background and existing development of data-driven research in the power electronic field. It will then establish the basics of two relevant aspects of data-driven solutions, i.e., AI tools and advanced data analytics. It will cover the following topics: 

·     Data-driven solutions in power electronics 

·     Artificial intelligence tools in power electronics  

·     Neural network for power electronic applications 

·     Advanced data analytics in power electronics 

Day 2: Case studies and application examples in power electronics 
(Shuai Zhao, Huai Wang, 8:30-16:30) 
With the fundamental knowledge of data-driven solutions in power electronics, several case studies and promising applications, where AI and data analytics have illustrated a great superiority compared to conventional methods, will be detailed. It will cover the following topics: 

·     Prognostics and health management (PHM) in power electronics 

·     Case study I: AI-assisted experiment design and potentials in power electronics 

·     Case study II: Non-invasive condition monitoring of power converter 

·     Case study III: Information fusion for remaining useful life prediction in power electronics 

Day 3: Frontiers of data-driven methods and team project 
(Shuai Zhao, 8:30-16:30) 
To have a further overview of this rapidly dynamic field, the development trend, cutting-edge tools, and further promising directions of this synergy field will be outlooked. Moreover, a hands-on team project will be introduced and instructed. It will cover the following topics: 

·     Frontiers of data-driven research in power electronics and beyond 

·     Team Project discussion support (based on a Nature Energy paper) 

Prerequisites:
 

·     Fundamentals of power electronics 

·     Fundamentals of probabilistic models and statistical analysis 

·     Experience with MATLAB/Python 

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 project is mainly formulated following the paper ”Data-driven prediction of battery cycle life before capacity degradation”, which is published in Nature Energy in 2019. The course evaluation will be based on this team project report. 

Organizer:
Professor Huai Wang, hwa@energy.aau.dk 
Postdoc, Shuai Zhao szh@energy.aau.dk 

Lecturers:
Huai Wang, Aalborg University 
Shuai Zhao, Aalborg University 

ECTS:
 3

Time: 6-8 April 2022

Place: AAU Energy, Aalborg 

Number of seats: 25

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Deadline: 16 March 2022

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. Teaching will be conducted on the blackboard. 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  

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

Evaluation
: The students will be evaluated based on a Quiz in Moodle.  

Litteratur
e:  
 H. B. Callen: Thermodynamics and an Introduction to Thermostatistics, 2nd edition.  

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

Lecturers: 
Associate Professor Torsten Berning, AAU Energy 

ECTS: 
2.5

Time: 
16-18 March 2022

Place: 
AAU Energy, Aalborg

Number of seats: 
25

Deadline: 
23 February 2022

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:
Optimal 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. Introduction to optimization 

  1. Linear programming (geometric methods, simplex algorithm, and sensitivity) and duality theories (dual problem, weak duality theory, and strong duality theory) 

  1. 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 in a daily basis (both individually and in groups) and a mini-project on the optimization of energy systems at the end of the course. 

Intended Audience: 

  • Utility personnel involved in energy system operation, planning and related activities 

  • Power engineers 

  • Policy makers and energy planers 

  • PhD/Guest PhD Students (Engineering, Mathematics, Economics, Planning) 


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: 3

Time: 9-11 March 2022

Place: AAU Energy - ONLINE

Number of seats: 25

Deadline: 16 February 2022

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 objective of this course is to give the student an overview of laser based flow measurement techniques in the field of fluid mechanics. Particle Image Velocimetry and Laser Doppler Velocimetry are introduced by theoretical lectures and hands-on experiments. Through the experiments, the students will have the possibility to explore the advantages and limitations of those techniques. As experimental sessions are an important part of this course, the participants must work together in groups of max 4-5 persons. Laboratory safety and data reduction/analysis are offered in addition to the theoretical and experimental aspects.

Prerequisites: Participants must have fundamental knowledge on fluid mechanics and simple data acquisition.

Form of evaluation: The participants must hand in mini-projects in groups and complete a multiple-choice test.

Organizer: Associate Professor Henrik Sørensen, hs@energy.aau.dk

Lecturers:
Associate Professor Henrik Sørensen, AAU Energy
Assistant professor Jakob Hærvig, AAU Energy
External guest lectures

ECTS: 6

Time: 21-25 November 2022

Place: AAU Energy, AAU

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 20

Deadline: 31 October 2022

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 

Organizers:
Professor Josep M. Guerrero, joz@energy.aau.dk  
Professor Juan C. Vasquez, juq@energy.aau.dk  

Lecturers:
Professor Eric Monmasson, University of Cergy-Pontoise 
Assistant Professor Mattia Ricco, University of Bologna 

ECTS: 3

Time: 11-13 April 2022

Place: AAU Energy, Aalborg

Number of seats: 15

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Deadline: 21 March 2022

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:
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 tasks and the corresponding 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.

Organizer: Associate Professor Chungen Yin, chy@energy.aau.dk

Lectures:
Associate Prof. Chungen Yin

Associate Prof. Torsten Berning, Aalborg University

ECTS: 4.0

Time: 16-19 August 2022

Place: AAU Energy, Aalborg

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Number of seats: 25

Deadline: 26 July 2022

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 Fault Tolerant Control (FTC) system is referred to a controlled system that poses the capability to accommodate system component faults/failures automatically and is capable of maintaining overall system stability and acceptable performance in the event of such faults. An active FTC approach often consists of two integrated online functionalities, i.e., Fault Detection and Diagnosis (FDD) and Control Reconfiguration (CR). The FTC plays an essential rule in safe-critical systems, which now cover a wide range of engineering systems, from aircrafts, airspace systems and nuclear reactors, to the recent emerging energy systems, such as smart grid systems, offshore wind farms etc. The ultimate objective of applying FTC techniques is to cost-effectively increase engineering system’s reliability, safety availability and maintainability. 

This course covered the fundamental essentials and some latest results in active FTC research area, along with diverse application case studies.  

Both teachers have been working in this and relevant areas for over 25+ years, and they will share 50%-50% lectures and exercises with plenty of their first-hand knowledge and developments. The course materials will be the lecture slides, scientific papers and lecture notes, which will be distributed to participants before lectures.  

The course daily plan consists of 4 hours lectures (incl. breaks) and 2 hour exercises per day. The detailed daily time schedule is planned as:   

  • Kl.8.30-9.15 lecture-d-1 

  • Kl.9.15-9.30 break  

  • Kl.9.30-10.15 lecture-d-2 

  • Kl.10.15-10.30 break  

  • Kl.10.30-11.30 exercise-d-1 

  • Kl.11.30-12.30 lunch   

  • Kl.12.30-13.15 lecture-d-3 

  • Kl.13.15-13.30 break  

  • Kl.13.30-14.15 lecture-d-4 

  • Kl.14.15-14.30 break  

  • Kl.14.30-15.30 exercise-d-2

Day 1:  introduction & observer-based FDD (Zhenyu Yang, 4-hour lectures & 2-hour exercises) 

  • Lec-1-1: General introduction of FTC & Active FTC 
  • Lec-1-2: FDD principles & methodologies  
  • Lec-1-3: Observer-based FDD (incl single & multi-bank observers) 
  • Lec-1-4: Kalman-filter based FDD (single KF) 

 
Day 2:  FMEA and Structual Analysis (SA) method (Roozbeh Izadi-Zamanabadi, 4-hour lectures & 2-hour exercises) 

  • Lec-2-1: Failure Mode and effect analysis   
  • Lec-2-2: Introduction to structural analysis 
  • Lec-2-3: SA principles & computations 
  • Lec-2-4: SA applications & practical issues  


Day 3: Data-driven modeling and FTC methods 
(Roozbeh Izadi-Zamanabadi, 4-hour lectures & 2-hour exercises) 

  • Lec-3-1: Introduction to data-driven approaches and methods 
  • Lec-3-2: statistical approach to feature extraction for anomaly detection based on latent projection methods 
  • Lec-3-3: Active data-driven estimation/FDD methods 
  • Lec-3-4: Data-driven FDD/FTC applications  


Day 4: Unknown input observer & Kalman-Filter based FDD methods 
(Roozbeh Izadi-Zamanabadi & Zhenyu Yang, 4-hour lectures & 2-hour exercises)
 

  • Lec-4-1 (Riz): Introduction to unknown-input observer (UIO) method 
  • Lec-4-2 (Riz): UIO extended for FDD  
  • Lec-4-3 (ZY): Multi-Kalman filter based FDD  
  • Lec-4-4 (ZY): Fault residual evaluation methods (incl statistical methods) 


Day 5: Advanced FTC design & applications 
(Zhenyu Yang, 4-hour lectures & 2-hour exercises) 

  • Lec-5-1: Control Reconfiguration (CR) principles and integration with FDD 
  • Lec-5-2: Eigenstructure assignment method for FDD/FTC design  
  • Lec-5-3: H_infty control for robust reconfigurable control mixer design 
  • Lec-5-4: summary & wrap-up  


Prerequisites:
 
The participants need to have the fundamental knowledge about classical control theory (transfer-function based) and modern control theory (state-space based).  

Form of evaluation: The course will be evaluated based on a mini-project report after the course. This mini-project expects some illustration that the student can apply some techniques/knowledge learned from this course into their current PhD project. 

Remarks: This course has been run in 2015, 2017 and 2019 by the organizer and one external lecturer from UK university. This time the organizer will work with Prof Izadi-Zamanabadi from AAU ES, who is also affiliated as Lead Control Expert at Danfoss A/S, to teach this course, thereby the course content has some adjustments compared with previous years’ content.    

Organizer: Associate Professor, Zhenyu Yang, yang@energy.aau.dk 

Lectures: 
Professor Roozbeh Izadi-Zamanabadi, AAU ES & Lead Control Expert at Danfoss A/S 
Associate Professor Zhenyu Yang, AAU Energy 

ECTS: 4.0

Time: 25 April – 29 April 2022

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

Number of seats: 30

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Deadline: 4 April 2022

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 control 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 as well as the virtual impedance 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, as well as Energy Internet-enabled opportunities and advanced solutions. 
 

Day 1:  Microgrids Systems Overview, Modelling and Control.
 
Josep Guerrero (1h), Juan Vasquez (1h) and Yajuan Guan (2h) 

Day 2: Distributed Energy Storage Systems, Hierarchical Control, and IoT-enabled energy internet solutions
 
Josep Guerrero (2h), Juan Vasquez (2h), Yajuan Guan (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: 

Professor Josep M. Guerrero, joz@energy.aau.dk  
Professor Juan C. Vasquez, juq@energy.aau.dk  

Lectures: 
Prof. Josep M. Guerrero, AAU Energy 
Prof. Juan C. Vasquez, AAU Energy 
Ass. Prof. Yajuan Guan, AAU Energy  

ECTS: 2

Time: 26. -27. April 2022

Place: AAU Energy, Aalborg 

Number of seats: 20

Price6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT

Deadline: 5. April 2022

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.