The operation of modern power grids has become increasingly challenging with the transition to renewable energy sources. As a consequence, the transmission system operator of France has launched a series of competitions, called L2RPN, to explore novel methods to operate power grids. Together with Hitachi Energy, I explored a novel control strategy based on optimal power flow, reinforcement learning, and imitation learning for my master’s thesis. In our simulation, the method managed to prevent 86% of all blackouts and resulted in 72% longer grid operation time.
Learning Load Management for Transmission Line Overload Control
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