Calculation of Electric Vehicle Charging Power Based on Spatial - Temporal Activity Model

被引：0
作者：
Qian Tiantian [1 ]
机构：
[1] China Elect Power Res Inst Co Ltd, Nanjing, Jiangsu, Peoples R China
来源：
2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED) | 2018年
关键词：
Electric vehicle; charging load; activity event; spatial -temporal distribution; ENERGY;
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：
Analyzed the electric vehicle's travel activity model, considered the spatial -temporal distribution characteristics of electric vehicles, based on the actual data, obtained the distribution model of the key influencing factors of electric vehicle charging. The Monte Carlo and binomial distribution methods were used to obtain the charging power curve of a single electric vehicle on working days and non-working days, and then it is possible to quickly calculate the charging load of a large-scale electric vehicle and analyze its demand response potential. This set of algorithms can calculate the charging power of electric vehicles simply and quickly on the basis of taking into account the space-time distribution of electric vehicles.
引用
收藏
页码：2884 / 2888
页数：5
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