Chao Zhu1, Lei Wang1, Dai Pan1, Zifei Wang2, Tao Wang2, Licheng Wang2,*, Chengjin Ye3
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 599-609, 2023, DOI:10.32604/cmes.2022.021052
- 24 August 2022
Abstract 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 More >
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