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Multi-energy Management of Interconnected Multi-microgrid System Using Multi-agent Deep Reinforcement Learning

The multi-directional flow of energy in a multi-microgrid (MMG) system and different dispatching needs of multiple energy sources in time and location hinder the optimal operation coordination between microgrids. We propose an approach to centrally train all the agents to achieve coordinated control...

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Bibliografiske detaljer
Principais autores: Sichen Li, Di Cao, Weihao Hu, Qi Huang, Zhe Chen, Frede Blaabjerg
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2023-01-01
Serier:Journal of Modern Power Systems and Clean Energy
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Online adgang:https://ieeexplore.ieee.org/document/10082859/
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