Procedural simulation method for aggregating charging load model of private electric vehicle cluster
Procedural simulation method for aggregating charging load model of private electric vehicle cluster
复制标题
私人电动汽车集群聚合充电负荷模型的程序仿真方法
DOI：
10.1007/s40565-015-0125-z
复制
发表时间：
2015
影响因子：
6.3
通讯作者：
BAN M
中科院分区：
文献类型：
--
作者：
BAN M
每一辆私人电动汽车的使用都是一个由驾驶、停车、放电和充电组成的重复行为过程，其中私人电动汽车的使用具有明显的过程性特征。为了分析过程特性，提出了一种过程模拟方法。该方法综合了PrEV集群的行为过程规律，对集群的充电负荷进行建模。首先，通过参考传统私人非电动汽车的统计数据集，构建每个PrEV的基本行为过程。其次，所有的基本过程被设置为一个模拟的起点，并通过几个约束，它们被动态地重建。仿真一直持续到获得PrEV集群的稳态荷电状态（SOC）分布和行为规律。最后，基于所获得的SOC和行为规律信息，再次对PrEV集群的行为过程进行仿真，使聚合充电负荷模型可用。几个场景的例子表明，所提出的方法可以提高建模的可靠性，通过把握PrEV集群的过程特性。
The usage of each private electric vehicle (PrEV) is a repeating behavior process composed by driving, parking, discharging and charging, in which PrEV shows obvious procedural characteristics. To analyze the procedural characteristics, this paper proposes a procedural simulation method. The method aggregates the behavior process regularity of the PrEV cluster to model the cluster's charging load. Firstly, the basic behavior process of each PrEV is constructed by referring the statistical datasets of the traditional private non-electric vehicles. Secondly, all the basic processes are set as a simulation starting point, and they are dynamically reconstructed by several constraints. The simulation continues until the steady state of charge (SOC) distribution and behavior regularity of the PrEV cluster are obtained. Lastly, based on the obtained SOC and behavior regularity information, the PrEV cluster's behavior processes are simulated again to make the aggregating charging load model available. Examples for several scenarios show that the proposed method can improve the reliability of modeling by grasping the PrEV cluster's procedural characteristics.