Electric vehicle charging load prediction considering the orderly charging

被引：18

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

来源：

ENERGY REPORTS | 2022年 / 8卷

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/).

引用

页码：124 / 134

页数：11

共 12 条

[1] Anqin Luo, 2020, 2020 IEEE 3 INT C CO
[2] Electric vehicle charging demand forecasting model based on big data technologies
Arias, Mariz B.
Bae, Sungwoo
[J]. APPLIED ENERGY, 2016, 183 : 327 - 339
[3] Dinghao Liu, 2020, P 2020 IEEE 9 JOINT, V9, DOI DOI 10.1109/ITAIC49862.2020.9338988
[4] Jun Yang, 2019, 2019 INT C TECHNOLOG
[5] KangLi Xiang, 2020, 2020 IEEE 4 C ENERGY
[6] Kejun Qian, 2010, 2010 INT C POWER SYS
[7] Lin Xu., 2021, E3S WEB C, V257
[8] Orderly charging strategy of battery electric vehicle driven by real-world driving data
Tao, Ye
Huang, Miaohua
Chen, Yupu
Yang, Lan
[J]. ENERGY, 2020, 193 (193) : 877 - 885
[9] Wang HL, 2018, INTL CONF POWER SYST, P1731, DOI 10.1109/POWERCON.2018.8601818
[10] Xiang KangLi, 2016, 2020 IEEE 4 C ENERGY

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