基于电动汽车时空特性分析的分布式储能应用场景研究  

Research on Application Scenarios of Distributed Energy Storage Based on Analysis of Spatiotemporal Characteristics of Electric Vehicles

作　　者：陆圣芝 赵亮 杨晓楠 金诚 周峰 陈磊 LU Sheng-zhi;ZHAO Liang;YANG Xiao-nan;JIN Cheng;ZHOU Feng;CHEN Lei(State Grid Jiangsu Electric Power Co.,Ltd.,Yangzhou Power Supply Branch,Yangzhou 225009 China)

机构地区：[1]国网江苏省电力有限公司扬州供电分公司,江苏扬州225009

出　　处：《自动化技术与应用》2025年第3期185-188,共4页Techniques of Automation and Applications

基　　金：国网江苏省电力公司科技项目(5400-202018114A)。

摘　　要：电动汽车是重要的分布式储能应用对象,其行为特征可分为时间维度和空间维度两部分,如何精确描述电动汽车的充电行为已经成为分析分布式储能对电网影响的关键。以电动汽车的充电行为时空特性为研究对象,建立基于蒙特卡洛随机方法的充电负荷时空分布模型,并将充电负荷进行叠加,得到分布式储能总的充电负荷。最后,给出分布式储能应用场景中的电动汽车参数,通过仿真分析充电负荷特点,并对电动汽车参与调度的潜力进行分析。Electric vehicles are important distributed energy storage application objects,and their behavior characteristics can be divided into two parts:time dimension and space dimension.How to accurately describe the charging behavior of electric vehicles becomes the key to analyzing the impact of distributed energy storage on the power grid.This paper takes the spatiotemporal characteristics of electric vehicle charging behavior as the research object,establishes a spatiotemporal distribution model of charging load based on Monte Carlo stochastic method,and superimposes the charging load to obtain the total charging load of distributed energy storage.Finally,the parameters of electric vehicles in distributed energy storage application scenarios are given,the characteristics of charging load are analyzed through simulation,and the potential of electric vehicles to participate in dispatching is analyzed.

关 键 词：电动汽车 时空负荷 分布式储能 蒙特卡洛法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]