中国电机工程学报2025，Vol.45Issue(11)：4163-4174,12.DOI:10.13334/j.0258-8013.pcsee.240319
基于多主体演化-主从混合博弈的网-商-车协同调度策略
Integrated Scheduling Strategy for Grid-aggregator-vehicle Interaction Based on Multi-subject Evolutionary-stackelberg Hybrid Game
摘要
Abstract
Aiming at the problem that the mobility characteristics of electric vehicles(EVs)lead to the difficulty of matching EVs' scheduling capabilities with the microgrid's scheduling requirements,this paper proposes an integrated scheduling strategy for the grid-aggregator-vehicle interaction based on multi-subject evolutionary-stackelberg hybrid game.Firstly,to accurately analyze the influence of the interaction among EVs,a dispatchable capacity model of EV aggregator based on the evolutionary game is established.Secondly,a strategy for the grid-aggregator interaction considering inter-network transactions is proposed.An energy sharing and trading strategy between multiple microgrids is formulated using the supply-demand ratio,and a two-layer economic dispatch strategy for microgrids is established based on the stackelberg game:the microgrid operator(MGO),as a leader,sets the internal price within the microgrid based on the supply-demand balance;aggregators,as followers,adjust their electricity consumption and EV aggregator(EVA)choices based on the internal price and the evolutionary game model.Finally,the case shows that the proposed strategy can optimize the distribution of EVs among microgrids.Combining the across-time-and-space energy transmission potential of EVs and the flexible complementary capability of the multi-microgrid can improve the operating economy of each microgrid.关键词
演化博弈/演化-主从混合博弈/电动汽车/车网互动/多微电网交易Key words
evolutionary game/evolutionary-stackelberg hybrid game/electric vehicle(EV)/vehicle to grid/multi-microgrid transaction分类
信息技术与安全科学引用本文复制引用
张谦,吴佳琦,孙韬,秦天喜,郝睿忆..基于多主体演化-主从混合博弈的网-商-车协同调度策略[J].中国电机工程学报,2025,45(11):4163-4174,12.基金项目
国家自然科学基金项目(52277081).Project Supported by National Natural Science Foundation of China(52277081). （52277081）
