Charging Power Forecasting for Electric Vehicle Based on Statistical Model

被引：0
作者：
Xing Yuhui [1 ]
Zhu Guiping [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing, Peoples R China
来源：
2012 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED) | 2012年
关键词：
electric vehicle; charging power forecasting; Monte Carlo method;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Considering three aspects of ensuring energy safety, reducing greenhouse gas emission and competing for technical leading edge of new energy vehicles in the world, the large-scale promotion and application of electric vehicles is an irresistible trend in our country. With Beijing as a research object, a statistical method is used for forecasting charging power of regional electric vehicles in the paper. Based on existing traffic statistical data, and fully considering the randomness of electric vehicle's charging in time and space, the random distribution model for initial load state and initial charging time is established, to finally work out the regional daily charging load curves for electric vehicles.
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页数：6
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