Power Optimization of Wind Farms Based on Improved Jensen Model and Deep Reinforcement Learning

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Key Technologies for Transient Operation Control and Test Verification of Wind Turbines | 更新时间：2025-10-29

- Power Optimization of Wind Farms Based on Improved Jensen Model and Deep Reinforcement Learning
- “In the field of wind farm control, experts have proposed a control scheme based on deep reinforcement learning, which effectively improves the maximum power output of wind farms, reduces training time and computational resource consumption.”
- Electric Power Vol. 58, Issue 4, Pages: 78-89(2025)
- 作者机构：
  
  1.南京理工大学电气工程系，江苏南京　210094
  2.国网江苏省电力有限公司电力科学研究院，江苏南京　211103
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202410051
  CLC：
- Received：15 October 2024，
  
  Revised：2025-03-18，
  
  Published：28 May 2025
- 稿件说明：
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Guanchao WANG, Yuchong HUO, Qun LI, et al. Power Optimization of Wind Farms Based on Improved Jensen Model and Deep Reinforcement Learning[J]. Electric power, 2025, 58(4): 78-89.
DOI：

Guanchao WANG, Yuchong HUO, Qun LI, et al. Power Optimization of Wind Farms Based on Improved Jensen Model and Deep Reinforcement Learning[J]. Electric power, 2025, 58(4): 78-89. DOI： 10.11930/j.issn.1004-9649.202410051.

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