Collaborative Scheduling Model for the Interaction Between Electric Vehicles and Power Grid in the Internet of Vehicles Environment

Abstract

The ownership of electric vehicles (EVs) is rising rapidly. Meanwhile, the development of Internet of Vehicles (IoV) technology has established a platform for data interaction and collaborative control between EVs and the power grid. After comprehensively analyzing relevant domestic and international research results, this paper proposes an interaction and joint operation scheduling scheme between EVs and the power grid based on the IoV environment. This scheme takes user satisfaction, power grid operation stability, and system economy as multi-objective optimization directions, and establishes a mathematical model composed of constraints such as State of Charge (SOC) constraints, charging and discharging power constraints, and power grid balance constraints, which is solved by combining distributed optimization and heuristic algorithms. Experimental results show that it can effectively smooth the power grid load curve, improve the user demand response rate, and significantly reduce the system operation cost, thus proving that the IoV has practical value and development potential in Vehicle-to-Grid (V2G) interaction.