A Multi-Agent Reinforcement Learning Method for Cooperative Secondary Voltage Control of Microgrids

Tianhao Wang, Shiqian Ma, Zhuo Tang (), Tianchun Xiang, Chaoxu Mu and Yao Jin
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Tianhao Wang: Electric Power Research Institute, State Grid Tianjin Electric Power Company, No. 8, Haitai Huake 4th Road, Huayuan Industrial Zone, Binhai High Tech Zone, Tianjin 300384, China
Shiqian Ma: Electric Power Research Institute, State Grid Tianjin Electric Power Company, No. 8, Haitai Huake 4th Road, Huayuan Industrial Zone, Binhai High Tech Zone, Tianjin 300384, China
Zhuo Tang: School of Electrical and Information Engineering, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China
Tianchun Xiang: State Grid Tianjin Electric Power Company, No. 39 Wujing, Guangfu Street, Hebei District, Tianjin 300010, China
Chaoxu Mu: School of Electrical and Information Engineering, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China
Yao Jin: State Grid Tianjin Electric Power Company, No. 39 Wujing, Guangfu Street, Hebei District, Tianjin 300010, China

Energies, 2023, vol. 16, issue 15, 1-18

Abstract: This paper proposes a novel cooperative voltage control strategy for an isolated microgrid based on the multi-agent advantage actor-critic (MA2C) algorithm. The proposed method facilitates the collaborative operation of a distributed energy system (DES) by adopting an attention mechanism to adaptively boost information processing effectiveness through the assignment of importance scores. Additionally, the algorithm we propose, executed through a centralized training and decentralized execution framework, implements secondary control and effectively restores voltage deviation. The introduction of an attention mechanism alleviates the burden of information transmission. Finally, we illustrate the effectiveness of the proposed method through a DES consisting of six energy nodes.

Keywords: multi-agent reinforcement learning; microgrid; voltage control; attention mechanism (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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