电力系统自动化2026，Vol.50Issue(5)：85-97,13.DOI:10.7500/AEPS20250803002
预防与紧急协调的电动汽车参与应急备用优化
Optimization of Electric Vehicles Participating in Emergency Reserve Based on Prevention and Emergency Coordination
摘要
Abstract
With the large-scale promotion and application of electric vehicles(EVs),EV clusters have attracted significant attention as a highly promising emergency reserve resource.However,in the engineering applications of EV clusters participating in emergency reserves,challenges such as uncertainties in vehicle to grid(V2G)interaction scenarios,complex coupling constraints of EV reserves,low credibility,and insufficient market support mechanisms remain.To this end,a V2G interaction architecture covering behavior layer,device layer,and platform layer is first proposed from the"cyber-physical-social"dimensions.Then,in response to the uncertainty of power deficient events,market rules applicable to various scenarios of power deficient events are designed,and a rolling optimization decision-making process is proposed that coordinates day-ahead preventive multi-scenario risk optimization with intra-day contingency regulation.Furthermore,with the objective of maximizing the profits of aggregators,an optimization model for dispatching strategies is built based on prevention and emergency coordination when EV clusters participate in the reserve market.Finally,the adaptability of various market rules and the effectiveness of the optimization models are verified through case simulation and sensitivity analysis.Effective and feasible solutions are provided for EV clusters to participate in emergency reserve in terms of interaction architecture design,market rule design,and optimization of charging and discharging strategies.关键词
基于能源的信息-物理-社会系统/电动汽车/应急备用/不确定性/市场规则/调度策略/预防控制/紧急控制Key words
cyber-physical-social system in energy(CPSSE)/electric vehicle/emergency reserve/uncertainty/market rule/dispatching strategy/preventive control/emergency control引用本文复制引用
吴巨爱,褚蕙,薛禹胜,张腾飞,谢东亮..预防与紧急协调的电动汽车参与应急备用优化[J].电力系统自动化,2026,50(5):85-97,13.基金项目
江苏省自然科学基金资助项目(BK20232026). This work is supported by Jiangsu Provincial Natural Science Foundation of China(No.BK20232026). （BK20232026）
