电力系统保护与控制2026，Vol.54Issue(1)：60-70,11.DOI:10.19783/j.cnki.pspc.250238
基于电碳负荷准线的电动汽车需求响应优化方法研究
Research on optimization methods for electric vehicle demand response based on electricity-carbon customer directrix load
摘要
Abstract
Electric vehicles(EVs)have great potential for implementing demand response and regulating power loads.However,existing methods mainly rely on price control and load baselines,with single response objectives,and do not fully consider user-specific needs and system uncertainties,making it difficult to achieve desired user incentives.To address this,an EV demand response optimization method based on electricity-carbon load baselines is proposed.First,an EV node electricity-carbon coupling demand response model is developed,considering parking demand variations,charging randomness,and dynamic carbon emission factors.Then,a customer directrix load dual-objective game rolling optimization framework is introduced,incorporating a day-ahead and intra-day rolling optimization model and a dual-objective leader-follower game between the distribution network and EV users to set more precise customer directrix load.A joint game optimization algorithm is proposed to reduce computational complexity and iteration time while ensuring global optimality and overall solution effectiveness.Case studies show that the method optimizes electricity-carbon balance in the distribution network,effectively reduces EV user response difficulty,ensures mutual benefits,and provide a reference for accurate baseline setting.关键词
电动汽车需求响应/电碳耦合/节点负荷准线/联合博弈滚动优化Key words
electric vehicles demand response/electricity-carbon coupling/node customer directrix load/joint game rolling optimization引用本文复制引用
杨朝铭,杨欢红,周徐达,李俊,张卫川,王理想..基于电碳负荷准线的电动汽车需求响应优化方法研究[J].电力系统保护与控制,2026,54(1):60-70,11.基金项目
This work is supported by the National Natural Science Foundation of China(No.52177100). 国家自然科学基金项目资助(52177100) （No.52177100）
