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Cyril Rasic

PhD Researcher

Research activity:

Biography:

Cyril Rasic received a Master’s degree in Electrical Engineering, with a specialization in Electrical Energy and Smart Grids, from the University of Mons (Belgium) in 2024. He is currently pursuing a PhD as part of the Power Systems & Market Research Group at the University of Mons. His research focuses on combining conventional model-based techniques with novel machine learning-based methods to address decision-making challenges in modern power systems. His work emphasizes the development of near-real-time control paradigms for managing uncertainties in power systems.

The ongoing transformation of the power system, particularly with the integration of intermittent renewable energy sources into the generation mix, is gradually shifting the operational control of the transmission grid closer to real-time. To ensure the efficient operation of future renewable-dominated power systems (including congestion management, optimal operation, and voltage contro) new, robust short-term control tools are required. This thesis addresses these challenges through two main objectives: (1) developing a centralized short-term operational control tool to optimize grid operation, and (2) creating a real-time decentralized resilient adjustment tool to ensure the reliable functioning of the grid when uncertainties are minimized. The overarching goal of the thesis is to combine model-based and model-free approaches to enhance decision-making in power systems.

Office location:

Contact:

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+32 (0) 65 37 40 58

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Electrical Power Engineering Unit
Boulevard Dolez, 31
7000 Mons (Belgium)

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