Abstract: To address the load pressure caused by the integration of large-scale electric vehicles（EV） into the microgrid,this paper proposes a Stackelberg game optimization scheduling strategy, considering the interaction between a charging-discharging-storage integrated station（CDSIS） and an electric vehicle. First, this paper establishes a model of the CDSIS, and sets up in segments for multiple scenarios of the CDSIS. Secondly, a dynamic road network model is established, and combined with the travel characteristics of the EV, to predict the spatiotemporal distribution of EV charging load under the constraints of an urban regional road network. From the prediction results, a multi-objective Stackelberg game optimization scheduling model is established for the EV and a CDSIS, and the revenue of EV users and CDSIS is harmonized through multi-objective coordination. Finally, a portion of the transportation network in the main urban area of a certain city is simulated in conjunction with the IEEE33 node distribution system. The impact of electricity prices and the capacity of integrated energy storage equipment are analyzed on EV users as is the revenue of integrated CDSIS in urban areas. The results show that the Stackelberg game model and scheduling strategy can maximize the benefits for EV users and the CDSIS.