李咸善,胡长宇,李挺,李稳,魏洁,王仕龙
LI Xianshan,HU Changyu,LI Ting,LI Wen,WEI Jie,WANG Shilong

• 1:梯级水电站运行与控制湖北省重点实验室(三峡大学)
• 2:国网江西省电力有限公司九江供电分公司

摘要(Abstract)：

风电集群通过租赁储能参与调频市场竞价在提高风电集群运营效益的同时，助力电网调频。为此，提出考虑调频性能指标考核的风电集群租赁储能博弈优化竞价模型。模型上层为多主体参与调频市场竞价模型；下层为储能租赁价格/容量主从博弈模型，储能运营商为领导者，响应风电集群租赁计划制定租赁价格；风电集群为跟随者，根据租赁价格调整租赁计划。风电集群内部嵌套阈值公共品演化博弈模型，以解决集群内部自私个体背叛行为导致的合作困境问题。模型联合求解，得到最终风电集群租赁储能容量与调频市场竞价策略。算例结果表明，所提策略能够解决合作困境，并提升风电集群整体收益。
Wind farm clusters can enhance their operational profitability while supporting grid frequency regulation by participating in frequency regulation markets through the leasing of energy storage. To achieve this, a gametheoretic optimization bidding model is proposed for leasing energy storage of wind farm clusters, considering frequency regulation performance indicator assessment. The model consists of two layers: the upper layer models the bidding process in the frequency regulation market with multiple participants, while the lower layer models a leaderfollower game between energy storage lessors and wind farm clusters regarding leasing price and capacity. In this game, the energy storage operator acts as the leader, setting the leasing price in response to the leasing plan of wind farm clusters, and the wind farm clusters, as the follower, adjust the leasing plan according to the price. Additionally, an evolutionary threshold public goods game model is embedded within the wind farm clusters to address the cooperation dilemma caused by selfish behavior among individual members. By united solution of the model, the bidding strategy for leasing energy storage capacity and participating in the frequency regulation market is obtained.The case study results demonstrate that the proposed strategy effectively resolves the cooperation dilemma and enhances the overall profitability of the wind farm clusters.

关键词(KeyWords)： 调频性能指标考核;租赁储能;多主体竞价;主从博弈;阈值公共品演化博弈
frequency regulation performance indicator assessment;leasing energy storage;multi-agent bidding;leader-follower game;revolutionary threshold public goods game

Abstract:

Keywords:

基金项目(Foundation): 湖北省自然科学基金联合基金（2022CFD167）

作者(Author): 李咸善,胡长宇,李挺,李稳,魏洁,王仕龙
LI Xianshan,HU Changyu,LI Ting,LI Wen,WEI Jie,WANG Shilong

DOI: 10.19585/j.zjdl.202410010

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