A World Model Based Reinforcement Learning Architecture for Autonomous Power System Control
2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)(2021)
摘要
Renewable generation is leading to rapidly shifting power flows and it is anticipated that traditional power system control may soon be inadequate to cope with these fluctuations. Traditional control include human-in-the-loop-control schemes while more autonomous control methods can be categorized into Wide-Area Monitoring, Protection and Control systems (WAMPAC). Within this latter group of more ...
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关键词
Adaptation models,Uncertainty,Power system control,Reinforcement learning,Computer architecture,Power system stability,Control systems
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