Multi-objective optimization of electric vehicle reserve capacity based on user willingness

Electric vehicles (EVs) have a considerable number of vehicles and have the characteristics of energy storage, which makes it possible for them to participate in the operation and regulation of the power system and provide backup services. In view of this, a multi-objective optimization scheduling model based on EV user willingness is established, which integrates the economic benefits of electricity providers, microgrid power fluctuations and user satisfaction. Considering the influence of load forecasting errors, the model is analyzed for multi-time scale optimization scheduling in the day-ahead stage and the intraday real-time correction stage. The solution method adopts the mainstream multi-objective intelligent optimization algorithm NSGA-Ⅲ algorithm, and NSGA-Ⅱ and MOEA/D algorithms are used as comparison algorithms. The optimal scheduling scheme is selected through comparative experiments and the scenario of EV providing backup capacity is analyzed. The simulation results prove the effectiveness of the proposed model.