Research on Electric Vehicle Charging and Discharging Scheduling Strategy Based on Travel Spatiotemporal Characteristics

As a potential high-quality energy storage resource, electric vehicles have great application space in smoothing out load fluctuations, but their high flexibility as a means of transportation poses challenges to the scheduling of charging and discharging. Therefore, this paper proposes a charging and discharging scheduling strategy that considers the spatiotemporal characteristics of user travel. This paper describes the temporal and spatial characteristics of EV users' travel based on the travel chain theory. The Monte Carlo algorithm is used to simulate the travel pattern of the EV group. Then, the optimization model with minimum load volatility on the distribution side and minimum electricity cost for users is established by considering the actual travel demand constraints of users and attracting users to participate in charging and discharging with incentive tariffs. The simulation results demonstrate that the suggested scheduling strategy can effectively reduce load fluctuations on the distribution side, while also providing additional benefits to users.