电力系统保护与控制2024，Vol.52Issue(14)：177-187,11.DOI:10.19783/j.cnki.pspc.246003
大规模车网互动需求响应策略及潜力评估综述
A review of demand response strategies and potential evaluation for large-scale vehicle to grid
摘要
Abstract
Electric vehicles(EV)have brought new challenges and opportunities to the power grid.EV is a special flexible resource with both load and energy storage properties.It is imperative to implement scheduling schemes and demand response(DR)scheduling strategies in the interaction process of vehicle to grid.Given the existing problems,relevant research is reviewed comprehensively.First,to review the orderly charging and discharging model of EV,the clustering methods are discussed based on the user's travel habits,drawing the conclusion that it can effectively improve the accuracy of the model considering the characteristic variables clustering.Second,the existing DR strategies are reviewed.By balancing and coordinating various DR strategies,the scheduling potential of users can be effectively stimulated.Third,based on DR strategies,it summarizes how to improve the accuracy of DR evaluation from the perspectives of data and mechanism.Finally,future research is prospected:the power grid can focus on research on peak-valley period refinement,the aggregators should set up more appropriate strategies for different clusters,and the market players need effective business models in future.关键词
电动汽车/车网互动/用户出行习惯/需求响应策略/潜力评估Key words
electric vehicle/vehicle to grid/users'travel habits/demand response strategy/potential evaluation引用本文复制引用
侯慧,何梓姻,侯婷婷,方仍存,杨天蒙,唐金锐,石英..大规模车网互动需求响应策略及潜力评估综述[J].电力系统保护与控制,2024,52(14):177-187,11.基金项目
This work is supported by the National Natural Science Foundation of China(No.52177110). 国家自然科学基金项目资助(52177110) （No.52177110）
深圳市科技计划项目资助(JCYJ20210324131409026) （JCYJ20210324131409026）
国网湖北省电网公司项目资助(521538220005) （521538220005）
