Research on Intelligent Protection Technology for Distribution Network with Distributed Generation
2021
Connecting large-scale distributed generation to a distribution network is complex as it is difficult to set the current protection limit within a traditional distribution network. This paper proposes a distributed protection and control scheme based on reinforcement learning for a distribution network connected to a distributed generation system. This research introduces the idea of transforming this distribution network protection problem into a multi-agent reinforcement learning problem. The concrete construction method of the reinforcement learning environment and deep Q-learning network is described. The algorithm training process is presented and the algorithm training and verification environment is built.
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