Fully autonomous load frequency control for integrated energy system with massive energy prosumers using multi-agent deep meta reinforcement learning

Jiawen Li; Tao Zhou

doi:10.1016/j.rser.2025.115489

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Fully autonomous load frequency control for integrated energy system with massive energy prosumers using multi-agent deep meta reinforcement learning

Jiawen Li Tao Zhou

Year: 2025 Journal: Renewable and Sustainable Energy Reviews Vol: 213 Pages: 115489-115489 Publisher: Elsevier BV

DOI: 10.1016/j.rser.2025.115489

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Keywords:

Reinforcement learning Reinforcement Computer science Energy (signal processing) Automatic frequency control Control (management) Meta learning (computer science) Control engineering Artificial intelligence Engineering Systems engineering Telecommunications Structural engineering Mathematics

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Frequency Control in Power Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Microgrid Control and Optimization

Physical Sciences → Engineering → Control and Systems Engineering

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Fully autonomous load frequency control for integrated energy system with massive energy prosumers using multi-agent deep meta reinforcement learning

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