Cooperative multi-agent deep reinforcement learning based decentralized framework for dynamic renewable hosting capacity assessment in distribution grids

Renewable hosting capacity (RHC) means the total renewable power that can be integrated into the power grid without violation of network constraints. In this paper, a cooperative multi-agent deep reinforcement learning (CMADRL) based decentralized method is proposed to assess the dynamic renewable h...

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Bibliografiske detaljer

Principais autores:	Xu Xu, Xiaoyang Chen, Jia Wang, Lurui Fang, Fei Xue, Eng Gee Lim
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2023-10-01
Serier:	Energy Reports
Fag:	Cooperative multi-agent deep reinforcement learning Dynamic renewable hosting capacity Operation strategies Centralized training Decentralized execution Online application
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2352484723009575
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