Abstract: With the large-scale development of electric vehicles, charging load has gradually become the largest distributed adjustable resource in the power system. Investigating operational optimization strategies for electric vehicle charging stations' participation in vehicle-grid integration has crucial implications for the synergistic development of both the electric vehicle industry and the power grids. Firstly, considering the differentiated charging demand and energy consumption characteristics of EV users, a charging load prediction model based on order data is constructed to provide the basis for charging stations' participation in responsive energy management. And then, based on engineering factors such as current tiered subsidies and baseline differentials, a physical model is developed, and a more practically-oriented bidding optimization strategy for charging stations is proposed, which is designed to adapt to different vehicle-grid interaction scenarios, including both invitation-based and market-based modes. Finally, simulation analyses of charging stations participating in demand response under various scenarios are conducted based on actual order data. The experimental results demonstrate that the proposed model can effectively ensure the interactive revenue for charging stations while actively guiding electric vehicles to respond to grid regulation demands.