Optimal Charging Strategy of Electric Vehicles in Smart Grid Considering the Characteristics of Lithium Ion Batteries

In recent years, the number of electric vehicles (EVs) in China has increased rapidly. In order to deal with the peak load and severe load fluctuation caused by large-scale EVs connected to the power grid, it is particularly important to obtain the optimal scheduling of EV demand and make the load curve flat. In this paper, Gauss distribution is used to predict the uncertain behavior of EV drivers, considering the characteristics of lithium ion batteries and the charging rate of batteries. The optimal solution of the charging target optimization model of EV in regional distribution network is obtained by improved genetic algorithm. Intelligent coordination of EV power demand improves the flexibility and security of power system, and reduces the cost of power system operation.