Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information
Modeling of Electricity Market and Game Mechanism|更新时间:2025-10-11
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Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information
“In the field of renewable energy consumption and electricity market reform, experts have proposed a P2P trading strategy optimization method based on random game theory, which effectively alleviates the impact of incomplete information on transactions, reduces behavioral uncertainty, optimizes trading strategies, and improves economic benefits.”
Southern Power System TechnologyVol. 19, Issue 4, Pages: 132-145(2025)
作者机构:
1.中国科学院电工研究所,北京 100190
2.中国科学院大学,北京 100049
3.中电投融和新能源科技有限公司,上海 201702
4.上海融和元储能源有限公司,上海 201306
作者简介:
基金信息:
the National Key Research and Development Program(2024YFE0115700);the National Natural Science Foundation of China(52277131)
ZHANG Shuai,ZHANG Tao,YANG Yanhong,et al.Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information[J].Southern Power System Technology,2025,19(04):132-145.
ZHANG Shuai,ZHANG Tao,YANG Yanhong,et al.Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information[J].Southern Power System Technology,2025,19(04):132-145. DOI: 10.13648/j.cnki.issn1674-0629.2025.04.011.
Optimization of Prosumer Peer-to-Peer Trading Strategy Based on Stochastic Game Considering Incomplete Information