Charging dispatching strategy for electric vehicles considering willingness and status quo bias

With the rapid development of new power systems and electric vehicles (EVs), the mismatch between renewable energy generation and power load is increasing seriously. An appropriate charging strategy for EVs can alleviate the load fluctuation in the power system. In practice, the feasibility of dispatching results is highly related to the EVs’ willingness. However, the willingness factor, reflecting the behavior preference of end users, is hard to build. In this paper, a charging dispatching strategy for EVs considering user willingness and status quo bias (SQB) is proposed to optimize the charging behavior and improve the operational efficiency of the power grid. A user willingness response model is proposed, considering the impact of charging prices and state of charge (SOC). The charging willingness and SQB are used to build user charging satisfaction, reflecting users’ needs and preferences more accurately. Load regulation and renewable energy curtailment are considered in grid dispatching satisfaction building. Thus, a multi-objective optimization model can be established to balance user charging and grid dispatching satisfaction. The results indicate that the proposed dispatching strategy, considering user willingness and SQB, improves user charging satisfaction, optimizes the load dispatching of the grid, and reduces operating costs.