Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Efficient Exploration In Reinforcement Learning
Efficient Exploration In Reinforcement Learning
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This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy Monte Carlo control to determine a discrete switching control law to trip generators so as to avoid loss of synchronism. The proposed approach is tested on a model of a real large scale power system and results are compared with a quasi-optimal control law designed by a brute force approach for this system.