Author(s)

Yuhang Liu, Xiaoqian Hao, Wendan Hu, Jing Miao

Corresponding Author

Yuhang Liu

Abstract

This paper analyzes the proportion of different charging power levels by traversing optimization algorithm, which can meet the needs of users, reduce equipment investment and reduce the peak-to-valley difference of electric vehicle charging load. First, the minimum charging power Pmin of the electric vehicle is obtained by using the charging power in the known data than the charging time, and the overall data is sorted according to Pmin, and the charging power levels of the sorted electric vehicles are ranked by 10%, 40%, and 50%. Divided into three levels, the actual charging time of the electric vehicle is obtained according to the charging power of the electric vehicle. This value is added to the starting charging time to obtain the stopping moment of the electric energy flow, and the total sum of the powers of all the vehicles in each time period is accumulated to obtain the sum. Charging load curve. For solving the optimal charging power level ratio, first set the ratio of the three levels to X, Y, Z, and then use the same method as the 24-hour charging load to establish the constraint condition that meets the user's demand with the unknown number, and then the device. Investment Ymin and peak-to-valley difference respectively give a weight of 1:1 to establish an Amin objective function, traverse all possible proportions, and find that when the ratio of three levels is 48:51:1, the minimum equip

Keywords

Electric vehicle charging and discharging, traversing optimization, valley peak difference