Based on the received one-week charging record of 100 electric vehicles, we propose a simple electric vehicle charging and discharging optimization management model for the impact of the large-scale change of power flow in the behavior of electric vehicles and distribution networks. We firstly use the charging record and data statistics theory to analyze the distribution law of charging and discharging behavior characteristics of electric vehicles such as charging probability, charging start time, connection duration and charging power. Then we explore the influence of the disordered charging of electric vehicles, considering the influencing factors of electric vehicle charging and uses the multi-objective mathematical programming idea to reduce the equipment investment and the optimal ratio of different charging power levels of peak-to-valley difference of disordered charging load of electric vehicles. Finally, based on the Newton-Raphson method, the classical method of power flow calculation, we optimize the charging and discharging behavior of electric vehicles in the distribution network, and minimizes the total active cost of the grid active power loss and electric vehicle owners. Aiming at the goal, the multi-objective mathematical programming idea is used to obtain the optimal charging and discharging scheme. We use a simpler scheme to provide a reference for the optimal management problem of electric vehicle charging and discharging, which has great social significance.
