PhD Courses in Denmark

The course provides participants with fundamental and practical knowledge of modelling techniques for renewable energy systems (RES), including power electronic converters (PEC), photovoltaic systems (PVG), wind power systems (WTG), and battery energy storage systems (BSS). It enables students to select, implement, and validate modelling approaches tailored to different applications—from performance monitoring to high-frequency simulations.

A student who has met the objectives of the course will be able to:

• Explain key modelling methods for converters, PV, wind, and battery systems
• Differentiate between model categories (performance, averaged, detailed, dynamic) and describe their applicability
• Reflect on model limitations and their implications in scientific and engineering contexts
• Implement solar and wind resource models across different time resolutions
• Develop and apply dynamic models for PVG, WTG, PEC, and BSS components
• Apply averaged/performance/ageing models in system-level studies
• Analyze and match modelling needs to applications in RES
• Communicate modelling requirements and methodologies effectively
• Design and test hybrid/custom models based on specific research demands
• Collaborate in interdisciplinary teams addressing RES topics
• Independently identify and utilize advanced resources for model development

The course provides an in-depth and practical approach to modelling renewable energy systems (RES), with a focus on real-world applicability and implementation. Participants will begin with the modelling of power converters, exploring both average and switching models, thermal characteristics, and modulation techniques. The second day is dedicated to photovoltaic systems, covering solar resource modelling, PV module and array performance models, real-time implementation, and data-driven modelling approaches. On the third day, the focus shifts to energy storage systems, where students will learn battery performance testing, development of both static and dynamic equivalent circuit models based on measurement data, and methods for validating model accuracy. The final day addresses wind power systems, including wind resource and turbine component modelling, performance modelling for various turbine concepts, smart grid integration with storage and PV systems, and requirements for real-time implementation. Each topic combines theoretical instruction with simulation exercises in Matlab/Simulink and real world examples to ensure a strong connection between models and their application.