Safe Deep Reinforcement Learning for Real-time AC Optimal Power Flow:A Near-optimal SolutionOA
Safe Deep Reinforcement Learning for Real-time AC Optimal Power Flow:A Near-optimal Solution
Bin Feng;Jiayue Zhao;Gang Huang;Yijie Hu;Huating Xu;Changxin Guo;Zhe Chen
College of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaCollege of Electrical Engineering,Zhejiang University,Hangzhou 310027,ChinaAalborg University,Aalborg 9220,Denmark
Behavior cloningdeep reinforcement learningmultiprocessing trainingoptimal power flowprimal-dual optimizationproximal policy optimization
Behavior cloningdeep reinforcement learningmultiprocessing trainingoptimal power flowprimal-dual optimizationproximal policy optimization
《中国电机工程学会电力与能源系统学报（英文版）》 2026 (1)
99-111,13
This work was supported by the National Natural Science Foundation of China(52007173 and U22B2098).
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