MRES Course Description

Industrial/PhD Course on Application-Oriented Modelling of Renewable Energy Sources, Conversion and Energy Storage Systems (16 – 19 March 2020)

Course description

This 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 target audience are PhD students and practicing engineers, as well as researchers who aim to receive a comprehensive overview of modern renewable energy generation and storage systems.

The course is structured in four days, focusing on the applicability and practical implementation of the models, and covering topics from the modelling the solar and wind resource, detailed/dynamic models of the energy generation, conversion and storage systems, to averaged models 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 exercises.

Real-time implementation and application of the models will be demonstrared in the state-of-the-art laboratories at the Department of Energy Technology at Aalborg University, through:

  • Simulink®, PLECS® and Matlab® for modelling and simulation exercises.
  • dSpace® and Opal RT for real-time model implementation and simulation exercises
  • wind turbine emulators with back-to-back power converters and grid-connected PV inverter systems for model validation and Hardware-In-the-Loop exercises
  • battery and solar PV simulators for Power Hardware-In-the-Loop (PHIL) simulation exercises
  • PV panel, battery, converter test and characterization equipment for modelling from experimental data exercises

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

Course Programme

Day 1 – Modelling of Power Converters

Lecture topics:

  • Average and switching modelling of the power converters
  • Thermal modelling of the switches
  • Modelling of different modulators for PWM

Laboratory exercises:

  • Comparison between the different level of modelling with the experimental results obtained from dSpace

Day 2 - Modelling of Photovoltaic Systems

Lecture topics:

  • Modelling the solar resource, solar cells, modules and arrays
  • Performance models of the array, inverter and PV plant

Laboratory exercises:

  • Modelling of PV panels and systems from measurement data
  • Real-time implementation of the models
  • PHIL test and validation of the models

Day 3 – Modelling of Energy Storage Systems

Lecture topics:

  • Battery performance testing
  • Methods of battery performance modelling and validation

Laboratory exercises:

  • Development of the static battery model;
  • Development of the equivalent electrical circuit based dynamic battery model based on measurement data;
  • Validation of battery models

Day 4 – Modelling of Wind Power Systems

Lecture topics:

  • 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

Laboratory exercises:

  • Modelling of wind turbine systems components
  • Real-time implementation aspects
  • HIL testing and verification of models



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


Aalborg University, Department of Energy Technology
Pontoppidanstræde 111, DK-9220 Aalborg East, Denmark


The fee is 8.000 DKK for industry and 6.000 DKK for academia people and PhD students outside Denmark.


4.0 ECTS


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For further information regarding the  course please contact Tamas Kerekes:
Phone +45 9940 3308