南方电网技术2025，Vol.19Issue(5)：83-92,10.DOI:10.13648/j.cnki.issn1674-0629.2025.05.008
基于演化博弈的清洁能源聚合发电单元竞价策略
Evolutionary Game Based Bidding Strategy of Aggregated Generation Unit for Renewable Energy
摘要
Abstract
Aggregating clean energy and energy storage access to the grid can effectively reduce the impact on the safe operation of power grids caused by decentralized access.However,the focus of future research on clean energy participating in market competi-tion lies in improving the revenue of aggregated clean energy and energy storage.This paper aggregates clean energy and energy stor-age as an aggregated regulation generation unit(AGU),and studies its bidding strategy on day-ahead power market.Firstly,a power market clearance model using queuing clearing method is established,and then the optimization model of bidding strategy based on evolutionary game theory is constructed.Secondly,the cost-benefit model of AGU is constructed to determine final bidding strategy.Finally,the arithmetic examples are analyzed using relevant data from the electricity market in Zhejiang Province and then a comparison is made with traditional bidding strategies,which verifies that the proposed strategy can improve the revenue of AGU.关键词
电力市场/聚合发电单元/竞价策略/演化博弈Key words
power markets/aggregated generation unit/bidding strategies/evolutionary game分类
动力与电气工程引用本文复制引用
莫凯佳,何英静,陈浔俊,王仁顺,王岑峰,朱克平,江全元..基于演化博弈的清洁能源聚合发电单元竞价策略[J].南方电网技术,2025,19(5):83-92,10.基金项目
国家重点研发计划资助项目(2022YFB2403000) （2022YFB2403000）
国家电网浙江省电力有限公司科技项目(5211JY230005).Supported by the National Key Research and Development Program of China(2022YFB2403000) （5211JY230005）
the Science and Technology Project of State Grid Zhejiang Electric Power Co.,Ltd.(5211JY230005). （5211JY230005）
