Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning

CHEN Lidan; WANG Lei; TAN Hongtao; ZHANG Zhe

doi:10.12096/j.2096-4528.pgt.260306

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Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning

Intelligent Learning-Empowered Power Generation in New Power Systems | 更新时间：2026-07-24

- Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning
- Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning
- CHEN Lidan ，WANG Lei ，TAN Hongtao ，ZHANG Zhe
- 发电技术（英文版） 2026年47卷第3期页码：526-535
- 作者机构：
  1.Faculty of Marine Engineering, Guangzhou Maritime University, Guangzhou 510725, Guangdong Province, China
  2.Guangdong Province Port Ship Smart Energy-saving and Seamless Power Supply Engineering Technology Research Center, Guangzhou 510725, Guangdong Province, China
  3.School of Electronic and Electrical Engineering, Chongqing University of Science and Technology, Shapingba District, Chongqing 401331, China
  4.School of Computer Science Engineering, South China University of Technology, Guangzhou 510006, Guangdong Province, China
- 作者简介：
- 基金信息：
  National Natural Science Foundation of China(62001169)
- DOI： 10.12096/j.2096-4528.pgt.260306
  中图分类号：
- 修回：2025-08-12 ，
- 稿件说明：
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