Electric vehicle charging load prediction considering the orderly charging

被引:14
|
作者
Tian, Jiang [1 ]
Lv, Yang [1 ]
Zhao, Qi [1 ]
Gong, Yucheng [1 ]
Li, Chun [1 ]
Ding, Hongen [1 ]
Yu, Yu [1 ]
机构
[1] State Grid Jiangsu Elect Power Co Ltd, Suzhou Power Supply Branch, Suzhou 215004, Peoples R China
关键词
Electric vehicle; Load forecasting; Monte Carlo algorithm; Orderly charging; Nonlinear programming;
D O I
10.1016/j.egyr.2022.10.068
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The prediction of the orderly charging load of electric vehicles is of great significance for planning of charging facilities, analysis of bearing capacity of the distribution network and later rectification and reconstruction. This article proposes a method of charging load prediction based on characteristics of EV charging behavior and nonlinear programming. This article uses Monte Carlo algorithm to predict charging probability and disorderly charging load of EVs, and uses non-linear programming algorithm to solve the optimized target function of orderly charging to achieve the prediction of the orderly charging load of EVs in the region.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页码:124 / 134
页数:11
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