Bio-inspired distributed load frequency control in Islanded Microgrids: A multi-agent deep reinforcement learning approach

Jiawen Li; Tao Zhou

doi:10.1016/j.asoc.2024.112146

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Bio-inspired distributed load frequency control in Islanded Microgrids: A multi-agent deep reinforcement learning approach

Jiawen Li Tao Zhou

Year: 2024 Journal: Applied Soft Computing Vol: 166 Pages: 112146-112146 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2024.112146

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Keywords:

Reinforcement learning Computer science Automatic frequency control Control (management) Artificial intelligence Reinforcement Control theory (sociology) Engineering Telecommunications

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Topics

Microgrid Control and Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Islanding Detection in Power Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Frequency Control in Power Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Bio-inspired distributed load frequency control in Islanded Microgrids: A multi-agent deep reinforcement learning approach

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Citation History

Topics

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