Deep Reinforcement Learning for Alleviation of Unbalanced Active Powers Using Distributed Batteries in LV Residential Distribution System
Watcharakorn Pinthurat,
Branislav Hredzak
Abstract:<p>The high penetration and uneven distribution of single-phase rooftop PVs and load demands in power systems may lead to unbalanced active powers, adversely impacting power quality and system reliability. This paper introduces a strategy based on multi-agent deep reinforcement learning to address these unbalanced active powers. The approach involves deploying single-phase battery systems throughout the LV residential distribution system, subsidized by the utility. Initially, the unbalanced active powers… Show more
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