Research on the hierarchical scheduling model of Vehicle-to-grid electric vehicles

Electric vehicles have both load and power characteristics, with a wide distribution, large quantity, and complex constraint conditions. An economically reasonable interactive and coordinated control strategy between electric vehicles and the power grid is crucial. A strategy for economic scheduling of electric vehicles considering optimal spatiotemporal distribution is proposed. Establish a dual-level economic scheduling model for electric vehicle clusters, decouple it into two sub-models: the optimal combination of units and the optimal charging and discharging plan for electric vehicles, and adjust the charging and discharging of electric vehicles. Through the analysis of a 6-node example, it is shown that the proposed strategy can effectively dispatch electric vehicles to participate in grid interaction, reduce overall social costs, and minimize grid losses.