中国电机工程学报2024，Vol.44Issue(1)：1-21,中插1,22.DOI:10.13334/j.0258-8013.pcsee.223433
电力系统优化控制中强化学习方法应用及挑战
Review on Critical Problems in Reinforcement Learning Methods Applied in Power System Optimization and Control Scenarios
摘要
Abstract
Reinforcement learning(RL)method has been applied in some fields of power system.The applications in power system optimization and control scenarios show admirable results.However,there are still some critical problems in the process of applying reinforcement learning methods to real-world power system applications.This paper first summarizes the basic theory and the state-of-art progress of reinforcement learning.Then,some critical problems in applications of reinforcement learning in various optimization and control scenarios in power system are pointed out.Finally,some future directions of reinforcement learning applied to power system decision-making and control scenarios are discussed.关键词
强化学习(RL)/电力系统/优化与控制Key words
reinforcement learning(RL)/power system/optimization and control分类
信息技术与安全科学引用本文复制引用
毕聪博,唐聿劼,罗永红,陆超..电力系统优化控制中强化学习方法应用及挑战[J].中国电机工程学报,2024,44(1):1-21,中插1,22.基金项目
国家自然科学基金项目(U2066601,52242701).Project Supported by National Natural Science Foundation of China(U2066601,52242701). （U2066601,52242701）
