Using Deep Reinforcement Learning to solve Optimal Power Flow problem with generator failures. (arXiv:2205.02108v1 [cs.LG])

Deep Reinforcement Learning (DRL) is being used in many domains. One of the
biggest advantages of DRL is that it enables the continuous improvement of a
learning agent. Secondly, the DRL framework is robust and flexible enough to be
applicable to problems of varying nature and domain. Presented work is evidence
of using the DRL technique to solve an Optimal Power Flow (OPF) problem. Two
classical algorithms have been presented to solve the OPF problem. The
drawbacks of the vanilla …

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