The access of large number of random electric vehicle charging loads will adversely affect the safe and economic operation of the power grid. Based on the statistics of user travel laws and starting charging time, the charging load characteristics of electric vehicle charging stations are analyzed. Under the premise of considering the operation safety of power distribution equipment and the user's charging demand, multi-target charging model of two stages optimization are established, with the aim of reducing load fluctuation rate and improving operator benefits, based on time-of-use electricity price, the characteristics of integrated charging load and original load. The two-stage and multi-objective optimization model solving method based on multi-population genetic algorithm and the ordered charging strategy are proposed. Taking the residential charging station as an example, the role of the two-stage and multi-objective control strategy in reducing the load volatility, cutting the peaks and filling the valley, reducing the economic cost is verified. This work is supported by National Science Foundation for Distinguished Young Scholars (No. 51707192).