Optimization of Orderly Charge and Discharge Behavior of Electric Vehicles in Distribution Network Based on Data Mining

This article analyzes the influence of electric vehicles (EV) on the distribution network when charging and discharging as a distributed energy source. Based on big data mining technology, this paper studies the models and methods of optimal management of EV charging and discharging. Taking into account the impact of time-of-use electricity prices, developing a multi-objective function, one is to minimize the active power loss of the distribution network, and the other is to minimize the total cost of EV owners. Consider the restriction conditions such as electric power level ratio, discharge power limit, battery capacity limit and battery state of charge limit. Establish an orderly charging and discharging model of EV considering time-of-use electricity prices. Combine the Newton-Raphson method and the forward back-substitution method to solve the model, and obtain the optimal solution for the orderly charging and discharging of the EV.