Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization

Bin Zhang; Weihao Hu; Amer M. Y. M. Ghias; Xiao Xu; Zhe Chen

doi:10.1016/j.enconman.2022.116647

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Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization

Bin Zhang Weihao Hu Amer M. Y. M. Ghias Xiao Xu Zhe Chen

Year: 2023 Journal: Energy Conversion and Management Vol: 277 Pages: 116647-116647 Publisher: Elsevier BV

DOI: 10.1016/j.enconman.2022.116647

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Keywords:

Microgrid Reinforcement learning Distributed computing Distributed generation Computer science Decentralised system Grid Energy management Control engineering Control (management) Energy (signal processing) Engineering Renewable energy Artificial intelligence

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Topics

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Microgrid Control and Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Optimal Power Flow Distribution

Physical Sciences → Engineering → Electrical and Electronic Engineering

Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization

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