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

机译:考虑交通网络特征的大型电动汽车组的充电特性

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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.
机译:作为新一代公路运输的电动汽车主要用于运输。因此,交通网络的拓扑特性可能对电动汽车组的宏观特性产生重大影响。但是,在这一领域的研究中,对研究的研究很少。因此,通过采用充电功率分布作为分析指示,通过采用充电功率分布来研究研究交通网络拓扑特性对大型电动车组充电特性的典型方法。在本文中,构造了一种复杂自适应系统的模型,包括电动车辆组,交通网络和充电站,其中通过利用多蛋白酶技术的模拟可以获得充电功率的天间空间分布。分析后,区域电动车辆的充电能力是对数正态分布的顺势的,而概率密度的数学期望显示出明显的循环性。最后,在比较中的各个城市的交通网络证实了提高了交通网络的连通性,并且增加了平均聚类系数可以有效地降低大规模电动车组充电负荷所带来的对电力系统的影响。

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