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Research on Volt/Var Control of Distribution Networks Based on PPO Algorithm
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作者 Chao Zhu Lei Wang +4 位作者 Dai Pan Zifei Wang Tao Wang Licheng Wang Chengjin Ye 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第1期599-609,共11页
In this paper,a model free volt/var control(VVC)algorithm is developed by using deep reinforcement learning(DRL).We transform the VVC problem of distribution networks into the network framework of PPO algorithm,in ord... In this paper,a model free volt/var control(VVC)algorithm is developed by using deep reinforcement learning(DRL).We transform the VVC problem of distribution networks into the network framework of PPO algorithm,in order to avoid directly solving a large-scale nonlinear optimization problem.We select photovoltaic inverters as agents to adjust system voltage in a distribution network,taking the reactive power output of inverters as action variables.An appropriate reward function is designed to guide the interaction between photovoltaic inverters and the distribution network environment.OPENDSS is used to output system node voltage and network loss.This method realizes the goal of optimal VVC in distribution network.The IEEE 13-bus three phase unbalanced distribution system is used to verify the effectiveness of the proposed algorithm.Simulation results demonstrate that the proposed method has excellent performance in voltage and reactive power regulation of a distribution network. 展开更多
关键词 Deep reinforcement learning voltage regulation unbalance distribution systems high photovoltaic permeability photovoltaic inverter volt/var control
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