A V2G Pricing Model Considering Peak-Shaving and User Dissatisfaction

With the rapid growth of electric vehicle ownership in China, electric vehicles are demonstrating immense potential as mobile energy storage units. In the process of enabling electric vehicles to supply electricity to the grid, the feed-in tariff becomes a critical foundation for project implementation. Based on an in-depth analysis of the peak-shaving of electric vehicles and user satisfaction, this paper studies the feed-in tariff for vehicle-to-grid (V2G). An optimal pricing objective function is established, incorporating constraints such as electric vehicles' charging and discharging energy limits, battery depth-of-discharge limits, and regional grid load constraints, and user charging and discharging strategies are analyzed. Taking a city's electricity tariff as an example, the charging and discharging strategies of 100 electric vehicles in a residential community were simulated. For different peak-shaving scenarios, the corresponding optimal feed-in tariffs were derived, verifying the effectiveness and applicability of the proposed method.