Data-Driven Analysis of Electric Vehicle Charging Behavior and Its Potential for Demand Side Management

2018 International Conference on Advanced Technologies in Energy, Environmental and Electrical Engineering

能源学;生态环境科学;无线电电子学

Zhang, Keying^1 ; Zhou, Suyang^2

College of Big Data and Information Engineering, Guizhou University, 1st Qingyun Road, Nanming District, Guiyang City, Guizhou Province, China^1

School of Electrical Engineering, Southeast University, 2 Sipailou, Xuanwu District, Nanjing City, Jiangsu Province, China^2

关键词: Charging facilities;    Comprehensive analysis;    Data-driven analysis;    Demonstration project;    Electric vehicle charging;    Electric Vehicles (EVs);    In-depth analysis;    Residential charging;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/223/1/012034/pdf
DOI  :  10.1088/1755-1315/223/1/012034

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper presents a comprehensive analysis of the Electric Vehicles (EVs) charging behaviour based on the data collected from the UK flagship demonstration project - Low Carbon London. Data of seventy residential charging facilities over one year are processed and analysed. The charging behaviour of the cluster of charging facilities and selected charging facilities are analyzed respectively. Based on the in-depth analysis, the potential of the EV charging facilities for joining the demand side management program are further investigated. To evaluate the performance of using charging facilities to join Demand Side Management (DSM) program, numerical analysis based on different DSM programs are presented.