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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
Revised:2025-07-13
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Related Author
CHEN Lidan
WANG Lei
TAN Hongtao
ZHANG Zhe
DU Wanlin
WANG Ling
LUO Wei
ZHU Yuanzhe
Related Institution
Faculty of Marine Engineering, Guangzhou Maritime University
Guangdong Province Port Ship Smart Energy-saving and Seamless Power Supply Engineering Technology Research Center
School of Electronic and Electrical Engineering, Chongqing University of Science and Technology, Shapingba District
School of Computer Science & Engineering, South China University of Technology
Key Laboratory of Power Quality of Guangdong Power Grid Co., Ltd. (Electric Power Research Institute of Guangdong Power Grid Co., Ltd.)

