V2G Multi-Objective Optimization Considering Data-Driven User's Demand Response

The development of mobile energy storage unit, Electric Vehicles, makes it possible for V2G (Vehicle to Grid) technology to participate in grid load optimization. However, since electric vehicles are different from conventional energy storage devices, EVs have the characteristics of random traffic behavior and uncertain choices from users, which is an existing problem in current V2G research. This research focus on the charging characteristics of electric vehicles in typical regional, and study the energy storage control strategy in the interaction between electric vehicles and the grid, V2G. It focuses on solving problems such as V2G modelling and simulation based on user behavior and optimization of cluster V2G energy storage scheduling strategies.