Research on two-stage V2G optimal scheduling strategy for electric vehicles considering scheduling priority

Disorderly charging of large-scale electric vehicles will exacerbate the peak-to-valley load difference in the station area, increase the load pressure of grid equipment, and threaten the safe and economic operation of the grid. How to utilize EV V2G technology to reduce the load peak-valley difference to realize the heavy overload management of the station area is a key concern in the future. This paper proposes a two-stage optimal scheduling strategy for EVs in V2G mode counting and prioritizing, establishes a two-layer optimal scheduling model with the objective function of minimizing the standard deviation of loads, minimizing the peak-to-valley difference, and maximizing the revenue of the users' side and the agents, develops its charging and discharging prioritized scheduling plan through the optimization of the charging and discharging distribution time period and the dynamic time-sharing tariff, and employs the quadratic variational difference evolution (SVDE) algorithm to solve the model, and the results are shown in the following figure. The model is solved, and the results show that the proposed model can effectively reduce the load peak-valley difference and realize the win-win benefits for the station governance, user side and charging pile agents.