Multi-objective partitioning and cooperative peak shaving for distributed photovoltaic clusters via multi-agent reinforcement learning

IntroductionTo address the urgent need for enhanced grid flexibility in high-penetration distributed photovoltaic (PV) systems, this paper proposes a novel two-stage framework integrating multi-objective cluster partitioning and multi-agent reinforcement learning (MARL) for cooperative peak shaving....

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Váldodahkkit:	Jun Ni, Chao Xu, Ke Fei, Peng Hu, Yan Xu, Jun Li, Ning Wang
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Frontiers Media S.A. 2026-01-01
Ráidu:	Frontiers in Energy Research
Fáttát:	cluster partitioning cooperative peak shaving distributed photovoltaics MADDPG multi-agent reinforcement learning
Liŋkkat:	https://www.frontiersin.org/articles/10.3389/fenrg.2025.1746997/full
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