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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Bibliographic Details

Published in:	Journal of Modern Power Systems and Clean Energy
Main Authors:	Sichen Li, Di Cao, Weihao Hu, Qi Huang, Zhe Chen, Frede Blaabjerg
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Interconnected multi-microgrid system energy management combined heat and power demand response deep reinforcement learning
Online Access:	https://ieeexplore.ieee.org/document/10082859/