Probabilistic Modeling of PHEV charging load in distribution systems

被引：0
|
作者：
Shaaban, M. F. [1 ]
El-Saadany, E. F. [1 ]
机构：
[1] Univ Waterloo, Dept ECE, Waterloo, ON N2L 3G1, Canada
来源：
2013 3RD INTERNATIONAL CONFERENCE ON ELECTRIC POWER AND ENERGY CONVERSION SYSTEMS (EPECS) | 2013年
关键词：
Electric vehicles; Emissions; Monte Carlo methods; Probability density function; IMPACT; ENERGY;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper proposes an annual probabilistic model for the energy consumed by a fleet of plug-in hybrid electric vehicles (PHEV) based on Monte Carlo simulation (MCS). This model presents the PHEV charging load scenarios and their probabilities for each hour of the year, which can be easily combined with the normal load models. This facilitates the utilization of this model by local distribution companies to quantify the impacts of PHEV charging on their systems and to define the penetration limit of PHEV in each territory.
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页数：6
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