电力系统保护与控制2026，Vol.54Issue(9)：137-150,14.DOI:10.19783/j.cnki.pspc.250937
考虑温度影响的电动汽车集群市场化双型需求响应运营策略
Market-oriented dual-type demand response operation strategy for electric vehicle aggregators considering temperature effects
摘要
Abstract
To address the significant impact of extreme temperatures on power system flexibility and electric vehicle(EV)operation,and to ensure both power supply reliability and economic efficiency for multiple stakeholders,a market-oriented dual-type demand response operation strategy for EV aggregators(EVA)is proposed,incorporating temperature effects.The strategy enables participation in both price-based and incentive-based demand response programs.First,an EV load model considering temperature effects is developed,along with an EVA dispatchable capacity evaluation model that accounts for both temperature variations and user response willingness.Second,a two-stage day-ahead and intraday market framework is established,and a leader-follower game-based demand response decision-making model between the power market operator(PMO)and the EVA is developed.The upper-level model represents market clearing,aiming to minimize total energy cost while determining clearing prices to guide price-based demand response.The lower-level model describes the EVA's decision-making,where it responds to both types of demand response prices with the objective of maximizing operational profit by optimizing its participation strategy.Finally,case study results show that the proposed strategy enables EVA to effectively adjust bidding strategies under varying temperature conditions,thereby maximizing profits and enhancing the power system's dispatching ability to cope with extreme temperature variations.关键词
电动汽车/温度影响因素/电力市场/需求响应/运营策略Key words
electric vehicle/temperature effects/electricity market/demand response/operation strategy引用本文复制引用
李咸善,李家辉,李丹宁,仇成龙,张远航,刘颂凯,李飞..考虑温度影响的电动汽车集群市场化双型需求响应运营策略[J].电力系统保护与控制,2026,54(9):137-150,14.基金项目
This work is supported by the National Natural Science Foundation of China(No.52407118). 国家自然科学基金项目资助(52407118) （No.52407118）
水资源工程与调度全国重点实验室开放基金项目资助(2023SDG02) （2023SDG02）
