Distributed Reinforcement Learning Based on High-Dimensional Reduction Mapping for Optimal Power Flow Analysis of Wind-Solar-Storage Systems

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Distributed Reinforcement Learning Based on High-Dimensional Reduction Mapping for Optimal Power Flow Analysis of Wind-Solar-Storage Systems

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

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- Distributed Reinforcement Learning Based on High-Dimensional Reduction Mapping for Optimal Power Flow Analysis of Wind-Solar-Storage Systems
- Distributed Reinforcement Learning Based on High-Dimensional Reduction Mapping for Optimal Power Flow Analysis of Wind-Solar-Storage Systems
- YANG Jianfeng ，WANG Wenliang ，LI Hong
- 发电技术（英文版） 2026年47卷第3期页码：515-525
- 作者机构：
  School of Automation and Electrical Engineering, Lanzhou Jiao Tong University, Lanzhou 730000, Gansu Province, China
- 作者简介：
- 基金信息：
  Natural Science Foundation of Gansu Province(23JRRA868)
- DOI： 10.12096/j.2096-4528.pgt.260305
  中图分类号：
- 修回：2025-10-20 ，
- 稿件说明：
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