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Distributed Reinforcement Learning Based on High-Dimensional Reduction Mapping for Optimal Power Flow Analysis of Wind-Solar-Storage Systems
Power Generation Technology   Vol. 47, Issue 3, Pages: 515-525(2026)
Intelligent Learning-Empowered Power Generation in New Power Systems|Updated:2026-08-17
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    • Distributed Reinforcement Learning Based on High-Dimensional Reduction Mapping for Optimal Power Flow Analysis of Wind-Solar-Storage Systems

    • “An innovative algorithm integrating high-dimensional reduced mapping and distributed SARSA (λ) collaborative optimization architecture has been developed to establish a multi-agent collaborative learning framework, providing a solution to the problem of balancing real-time performance and accuracy in large-scale power grids.”
    • DOI:10.12096/j.2096-4528.pgt.260305    

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    • Revised:2025-10-20,

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