Abstract
The large-scale access of electric vehicles to the grid will have a significant impact on grid load power and electricity consumption. Based on the analysis of the characteristics of electric vehicle users' travel, this paper proposes a Monte Carlo simulation of electric vehicle load power and electricity consumption calculation method. In order to improve the accuracy of the orderly charging load calculation, an orderly charging strategy is proposed, and an adaptive charging multi-objective optimization model for electric vehicles with the minimum charging cost and the minimum load peak-to-valley difference is established. By comparing the difference between disordered charging and ordered charging, the degree of influence of the two charging modes on the grid is quantitatively analyzed. The results show that the orderly charging realized under grid scheduling has a positive effect on reducing the peak-to-valley difference and reducing the impact on the grid.
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