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

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

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 adaptive...

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Bibliographic Details
Main Authors: Tianhao Wang, Shiqian Ma, Zhuo Tang, Tianchun Xiang, Chaoxu Mu, Yao Jin
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Energies
Subjects:
multi-agent reinforcement learning
microgrid
voltage control
attention mechanism
Online Access:https://www.mdpi.com/1996-1073/16/15/5653

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https://www.mdpi.com/1996-1073/16/15/5653

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