Traffic-based Modeling of Electric Vehicle Charging Load and its Impact on the Distribution Network and Railway Station Parking Lots

被引：0
|
作者：
Sarabi, Siyamak [1 ,2 ]
Davigny, Arnaud [1 ]
Courtecuisse, Vincent [3 ]
Riffonneau, Yann [4 ]
Robyns, Benoit [1 ]
机构：
[1] Ecole Hautes Etud Ingenieur, Lille Lab Elect Engn & Power Elect, 13 Rue Toul, F-59046 Lille, France
[2] ADEME, F-49004 Angers, France
[3] GEREDIS Deux Sevres, F-79000 Niort, France
[4] SNCF, Innovat & Res, F-75611 Paris, France
来源：
3RD INTERNATIONAL SYMPOSIUM ON ENVIRONMENTAL FRIENDLY ENERGIES AND APPLICATIONS (EFEA 2014) | 2014年
关键词：
Traffic-based modeling; Electric Vehicle (EV); Probability distribution function; optimization; Distribution networks; Railway station; Energy purchase price;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper, a traffic-based modeling for electric vehicle charging profile is proposed. An optimization process will find the best-fitted probability distribution function to the real traffic data. The impacts of electric vehicles charging profile on the regional distribution network, and a typical railway station, proposing EVs parking lots facilities, are discussed. The results show a significant increment of annual energy purchase price for the downstream consumers that would be possibly reduced by proposing supervision system aimed to charging coordination.
引用
收藏
页数：6
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