Research on Application System of Multi-Objective Optimization in Charging and Discharging Strategy of Electric Vehicle

This study focuses on the application system design of multi-objective optimization in the charging and discharging strategy of electric vehicles, aiming at simultaneously considering multiple optimization objectives such as load balance of the grid, charge and discharge cost minimization and user satisfaction with charging demand. Firstly, a multi-objective optimization model is constructed. The model uses linear weighting method as an optimization tool. Then, an electric vehicle charge and discharge control system is designed, which dynamically adjusts the charge and discharge strategy through real-time data acquisition and predictive analysis to cope with the real-time load changes of the power grid. The simulation results show that the charging and discharging control system using multi-objective optimization strategy can significantly reduce the peak load of the power grid, reduce the charging and discharging cost, and ensure that the charging demand of EV users can be met. In addition, the robustness and adaptability of the system in different scenarios are effectively verified.