Federated reinforcement learning with constrained markov decision processes and graph neural networks for fair and grid-constrained coordination of large-scale electric vehicle charging networks

Abstract The rapid proliferation of electric vehicles (EVs) and their spatially clustered charging behaviors have imposed unprecedented challenges on the stability, efficiency, and fairness of power distribution networks. Coordinating large-scale EV clusters across geographically distributed chargin...

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Автори:	Lixia Zhou, Dawei Huo, Jian Chen, Bo Bo, Hao Li
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Nature Portfolio 2025-11-01
Серія:	Scientific Reports
Предмети:	Federated reinforcement learning Electric vehicle scheduling Multi-agent systems Renewable integration Grid-aware dispatch Fairness optimization
Онлайн доступ:	https://doi.org/10.1038/s41598-025-22482-5
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Federated reinforcement learning with constrained markov decision processes and graph neural networks for fair and grid-constrained coordination of large-scale electric vehicle charging networks

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