Chatzivasileiadis Lab

Technical University of Denmark

Danmark (DK0) · Denmark

ERC-funded
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Research focus

ERC Starting Grant · 2020

Verified physics-aware machine learning to transform non-linear power system stability and optimization

Measures against global warming require disruptive changes in the electricity sector. Drastically reducing CO2 emissions involves replacing bulk generation units with millions of renewable energy sources, along with a rapid increase of electricity demand. Maintaining the stability of the system with current approaches becomes not only computationally intractable, but also extremely costly. Recently proposed data-driven methods have been shown to handle the sheer complexity and have an impressive performance, achieving higher accuracy while being 250-1000 times faster than traditional methods. However, power systems are safety-critical systems, where data-driven methods will never be applied…

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