Review on Critical Problems in Reinforcement Learning Methods Applied in Power System Optimization and Control Scenarios
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.
reinforcement learning(RL)power systemoptimization and control
国家科技期刊平台
NSTL
万方数据
维普
