Proximal Policy Optimization-based Bidding Strategy for Thermal Power Generators Participating in Energy and Frequency Regulation Markets
Research and Application of AI Technology in the Market Mechanism and Operation Optimization of New\-type Power System\·Hosted by LI Yanbin\, ZHANG Shuo\, DONG Fugui\, ZENG Bo\·|更新时间:2026-07-24
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Proximal Policy Optimization-based Bidding Strategy for Thermal Power Generators Participating in Energy and Frequency Regulation Markets
Electric Power ConstructionVol. 47, Issue 4, Pages: 82-92(2026)
作者机构:
1.东南大学电气工程学院,南京市 210096
2.中国大唐集团科技创新有限公司,北京市 100033
作者简介:
基金信息:
National Natural Science Foundation of China(52207082);the First Batch of Science and Technology Project in 2024 of China Datang Group Technology Innovation Co., Ltd(DTKC-024-20595)
ZHANG Bin,CAO Fan,XIAO Kun,et al.Proximal Policy Optimization-based Bidding Strategy for Thermal Power Generators Participating in Energy and Frequency Regulation Markets[J].Electric Power Construction,2026,47(04):82-92.
ZHANG Bin,CAO Fan,XIAO Kun,et al.Proximal Policy Optimization-based Bidding Strategy for Thermal Power Generators Participating in Energy and Frequency Regulation Markets[J].Electric Power Construction,2026,47(04):82-92.DOI: 10.12204/j.issn.1000-7229.2026.04.007.
Proximal Policy Optimization-based Bidding Strategy for Thermal Power Generators Participating in Energy and Frequency Regulation Markets