预防与紧急协调的电动汽车参与应急备用优化OA

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.