Electric vehicle charging load forecasting method based on user portrait

被引：0

作者：

Huang X.-J. ^{[1
,2
]}

Zhong J.-X. ^{[1
]}

Lu J.-Y. ^{[2
]}

Zhao J. ^{[3
]}

Xiao W. ^{[3
]}

Yuan X.-M. ^{[2
]}

机构：

[1] Dongguan Power Supply Bureau, Guangdong Power Grid Corporation, Dongguan

[2] College of Automotive Engineering, Jilin University, Changchun

[3] Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2023年 / 53卷 / 08期

关键词：

charging load forecasting; distribution network; user portrait; vehicle engineering;

D O I：

10.13229/j.cnki.jdxbgxb.20211130

中图分类号：

学科分类号：

摘要：

In order to reasonably evaluate the impact of various factors on the charging load，this paper introduced the concept of user portrait，and generated a typical user portrait that could describe the charging behavior of users through the construction and extraction of the characteristics of vehicle charging behavior data. At the same time，it is found that the shape of load curve can be adjusted by adjusting the proportion of different types of users. Through practical examples，the effects of user behavior characteristics and attribute characteristics on key grid indicators such as charging load form，peak valley time and load rate are comprehensively analyzed，so as to reasonably guide users to charge in order，provide basis for power grid planning and capacity expansion considering electric vehicle charging load. © 2023 Editorial Board of Jilin University. All rights reserved.

引用

页码：2193 / 2200

页数：7

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