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Research on Reactive Power Margin Optimization of Doubly-Fed Induction Generator Wind Farms Based on Improved Proximal Policy Optimization Algorithm
Power Generation Technology   Vol. 47, Issue 3, Pages: 536-545(2026)
Intelligent Learning-Empowered Power Generation in New Power Systems|Updated:2026-08-17
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    • Research on Reactive Power Margin Optimization of Doubly-Fed Induction Generator Wind Farms Based on Improved Proximal Policy Optimization Algorithm

    • “The research team proposed a reactive power margin optimization method for doubly fed wind farm stations based on an improved near end strategy optimization algorithm. A mathematical model for reactive power margin optimization was established with doubly fed wind turbines and static reactive power generators as the main reactive power regulation devices, and transformed into a Markov decision process model. This provides a solution to the reactive power optimization problem in power systems considering source load uncertainty.”
    • DOI:10.12096/j.2096-4528.pgt.260307    

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    • Revised:2025-07-13,

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CHEN Lidan
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Related Institution

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