Reinforcement learning-based distributed secondary optimal control for multi-microgrids

Abstract

In this study, a novel reinforcement learning (RL)-based distributed secondary optimal control (DSOC) is proposed to facilitate the secondary control of droop-controlled multi-micorgrids (MMGs). The proposed scheme is implemented based on multi-agent system (MAS) and the RL algorithm. The most distinguishing features of this work are follows: 1) the… (More)

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