TY - EJOU AU - Zhu, Chao AU - Wang, Lei AU - Pan, Dai AU - Wang, Zifei AU - Wang, Tao AU - Wang, Licheng AU - Ye, Chengjin TI - Research on Volt/Var Control of Distribution Networks Based on PPO Algorithm T2 - Computer Modeling in Engineering \& Sciences PY - 2023 VL - 134 IS - 1 SN - 1526-1506 AB - 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. KW - Deep reinforcement learning; voltage regulation; unbalance distribution systems; high photovoltaic permeability; photovoltaic inverter; volt/var control DO - 10.32604/cmes.2022.021052