Course info

Description:

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

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

the following main topics:

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

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

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

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

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

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

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

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

Aalborg University.

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

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

·       Performance models of the array, inverter and PV plant

·       Modelling of PV panels and systems from measurement data

·       Real-time implementation of the model

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

·       Average and switching modelling of the power converters

·       Thermal modelling of the switches

·       Modelling of different modulators for PWM

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

·       from dSpace

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

·       Battery performance testing

·       Methods of battery performance modelling and validation

·       Development of the static battery model;

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

·       measurement data;

·       Validation of battery model

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

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

·       concepts

·       Performance models for wind turbine systems

·       Smart grid applications including storage and PV systems

·       Modelling of wind turbine systems components

·       Real-time implementation aspects

·       HIL testing and verification of models

Prerequisites:

Basic Matlab/Simulink knowledge is recommended for the exercises.

Form of evaluation:

Individual evaluation of the student assignments received during the lecture

and laboratory exercises.

Literature

1. Presentations: 414 slides

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

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

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

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

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

ECTS:               4

Date/Time:   21‐24 MAR 2023

Deadline         28 February 2023

Place:              AAU Energy, Aalborg

Max no. of participants: 35

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

Important information concerning PhD courses:

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