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

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

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