After electric vehicles are put into the power grid on a large scale as a special power load, the study of their orderly charging strategy can reduce the impact of the charging load on the grid, smooth load fluctuations, and reduce user charging costs.Taking electric private cars as the research object and residential quarters as the application scenarios, the paper proposes an orderly charging optimization method that upper-level determining the power guidance curve based on the charging demand of the residential quarters and optimization target of the minimum load variance, and the lower-level also considers the issued guidance curve and the optimization goal of minimum valley difference to meets the charging needs of users.First, analyze the impact of charging mode and other factors on the charging load of electric vehicles (EV), and calculate the charging load prediction based on the Monte Carlo method;then, a hierarchical control architecture for orderly charging of electric vehicles is proposed, and a two-layer optimization model that can smooth the overall load fluctuations and reduce the peak-valley difference of the substation load is established, and the particle swarm algorithm is used to calculate; finally, a residential area Take a simulation calculation as an example to compare the results before and after using the optimized charging method for electric vehicles under different penetration rates.The results show that the control strategy delays the peak period of the charging load to the trough period of the base load, and achieves the "peak-reduction and valley-filling" of the load curve, and as the penetration rate increases, the load peak-valley difference is reduced. , The optimization effect of suppressing load fluctuations is better; in terms of charging costs, the charging costs are reduced by 29.0% under the orderly charging situation, which reduces the charging burden of electric vehicle users.