高电压技术2025，Vol.51Issue(1)：135-145,中插9-中插12,15.DOI:10.13336/j.1003-6520.hve.20232061
基于混合博弈与电动汽车共享储能特性的园区综合能源系统协调优化运行
Coordinated and Optimized Operation of Park Integrated Energy Systems Based on Hybrid Gaming and Electric Vehicle Shared Energy Storage Characteristics
摘要
Abstract
In accordanc with multiple stakeholders and uneven income distribution in the park-integrated energy system,a two-layer energy management model based on a hybrid game theory is proposed.Firstly,the operational framework of the park-integrated energy system is established,and the interests of the upper-layer microgrid operators and the lower-level user aggregators are analyzed.Secondly,to maximize the interests of all stakeholders in the park,a hybrid game model is developed,allowing for multi-user and multi-party participation of microgrid operators.The operator formulates the price of energy and sell to users through the Stackelberg game,while the user aggregator distributes the benefits based on the Nash-Harsanyi theory after receiving the price.In light of the substantial initial investment in energy storage equipment,the potential for using electric vehicles as a cluster dispatchable resource is thoroughly investigated.Historical data from electric vehicles are analyzed by using the CNN-BiLSTM method,which combines convolutional neural networks and Bi-directional long short-term memory,to mitigate uncertainty.The strategy has been developed to utilize the shared en-ergy storage capabilities of electric vehicles as energy storage devices.Finally,an integrated energy system of a city is taken for example to perform analyses.The results show that the established model can effectively decrease carbon emis-sions and create a win-win situation for operators and multiple users.关键词
电动汽车/集群可调度潜力/混合博弈/纳什-海萨尼理论/CNN-BiLSTM/需求响应Key words
electric vehicles/cluster dispatchability potential/hybrid game/Nash-Harsanyi theory/CNN-BiLSTM/de-mand response引用本文复制引用
王义,靳梓康,王要强,吴坡,刘明洋,梁军..基于混合博弈与电动汽车共享储能特性的园区综合能源系统协调优化运行[J].高电压技术,2025,51(1):135-145,中插9-中插12,15.基金项目
国家自然科学基金(62203395) （62203395）
河南省自然科学基金(242300421167) （242300421167）
中国博士后科学基金(2023TQ0306) （2023TQ0306）
河南省博士后科研项目(202101011). Project supported by National Natural Science Foundation of China(62203395),Natural Science Foundation of Henan(242300421167),China Postdoctoral Science Foundation(2023TQ0306),Postdoctoral Research Project of Henan Province(202101011). （202101011）
