The Charging Characteristics of Large-Scale Electric Vehicle Group Considering Characteristics of Traffic Network

被引：17

作者：

Chen, Chongchen ^{[1
]}

Wu, Zhigang ^{[1
]}

Zhang, Yuling ^{[1
]}

机构：

[1] South China Univ Technol, Sch Elect Power, Guangzhou 510640, Peoples R China

来源：

IEEE ACCESS | 2020年 / 8卷 / 32542-32550期

基金：

中国国家自然科学基金;

关键词：

Charging stations; Electric vehicle charging; Urban areas; Roads; Power distribution; Average clustering coefficient; charging power probability distribution; electric vehicle; multi-agent; traffic topology; FRAMEWORK; DEMAND; POWER;

D O I：

10.1109/ACCESS.2020.2973801

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electric vehicles, as a new generation of road transport, are primarily used for transportation. For this reason, the topological characteristics of traffic network may make great influence on the macroscopic characteristics of electric vehicle group. However, little attention is drawn to the study in this field. Therefore, typical approach to studying the impact of traffic network topological characteristics on the charging characteristics of large-scale electric vehicle group is presented by adopting the charging power distribution as analysis indicator. In this paper, a model of complex adaptive system is constructed including the electric vehicle group, traffic network and charging stations, where the tempo-spatial distribution of charging power can be obtained via the simulation with the multi-agent technique. The charging power of regional electric vehicles is found obedient to logarithmic normal distribution after analysis, while the mathematical expectation of probability density shows obvious cyclicity. Finally, the traffic networks of various cities in comparison testify to that improving the connectivity of traffic network and increasing the average clustering coefficient can effectively reduce the effect on power system brought by the charging load of large-scale electric vehicle group.

引用

页码：32542 / 32550

页数：9

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