This course provides a comprehensive introduction to the modeling, simulation, and analysis of
power electronic systems within the context of smart grids. As modern power systems evolve
toward greater decentralization and digitalization, power electronics play a crucial role in
enabling efficient energy conversion, renewable energy integration, and advanced grid control.
The course begins with an overview of the fundamental operating principles of key power
electronic converters, including DC-DC, DC-AC (inverters), and AC-DC converters. Students
will then explore dynamic modeling techniques using state-space, averaged, and switching
models. Special emphasis is placed on system-level modeling, allowing students to simulate
converter behavior under various grid scenarios such as voltage fluctuations, load changes, and
intermittent renewable generation.
Advanced simulation tools, primarily MATLAB/Simulink and Simscape Electrical, will be used
to model and analyze converter systems in both isolated and grid-connected modes. Students will
also be introduced to hybrid modeling approaches such as grey-box and data-driven models,
which are increasingly relevant for real-time control and digital twin applications in smart grids.
By the end of the course, students will be equipped with the theoretical knowledge and practical
skills necessary to model, simulate, and evaluate power electronic systems for modern and future
smart grid environments. This course is ideal for students pursuing careers or research in power
electronics, renewable energy systems, and intelligent grid technologies.
Learning Outcomes:
By the end of this course, students will be able to:
1. Explain the operating principles of key power electronic converters (DC-DC, DC-AC, and AC-
DC) and their roles in smart grid systems.
2. Develop dynamic models of power electronic converters using state-space, averaged, and
switching techniques.
3. Simulate converter systems under various operating conditions using MATLAB/Simulink and
Simscape Electrical.
4. Analyze the impact of power electronics on grid stability, power quality, and renewable energy
integration.
5. Apply grey-box and hybrid modelling techniques to create system-level models suitable for real-
time simulation and control.
6. Evaluate the performance of power converters in both isolated and grid-connected configurations
under dynamic grid scenarios.
7. Design and implement simulation experiments to test converter responses to typical smart grid
challenges (e.g., voltage sags, frequency deviations, load transients).
8. Interpret simulation results to draw conclusions about system behavior and make
recommendations for improvement.
9. Communicate modelling and simulation findings effectively through technical reports and
presentations.
10. Collaborate on interdisciplinary simulation projects involving power electronics, control systems,
and smart grid technologies.
Prerequisite/Required Texts and Materials
Lecture Notes on Modeling and Simulation of Power Electronics for Smart Grids , Kerim
KARABACAK, Turkiye, 2024.
Applied Modelling & Identification, Björn Sohlberg, Dalarna University, Sweden, 2008.
References:
[1] K. Karabacak, "A Grey-Box Model of a DC/DC Boost Converter for PV Energy
Systems," vol. 2024, no. 1, p. 3559456, 2024.
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