DocumentCode :
49259
Title :
A New Real-Time Smart-Charging Method Considering Expected Electric Vehicle Fleet Connections
Author :
Zhengshuo Li ; Qinglai Guo ; Hongbin Sun ; Shujun Xin ; Jianhui Wang
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Volume :
29
Issue :
6
fYear :
2014
fDate :
Nov. 2014
Firstpage :
3114
Lastpage :
3115
Abstract :
This letter presents a real-time electric vehicle (EV) smart-charging method (N-RT), that not only considers currently connected EVs, but also uses a prediction of the EVs that are expected to plug in in the future. Numerical tests show that the N-RT method improves valley-filling under various levels of prediction accuracy.
Keywords :
electric vehicles; real-time systems; secondary cells; expected electric vehicle fleet connections; prediction accuracy; real-time electric vehicle; real-time smart-charging method; valley filling; Dispersion; Electric vehicles; Optimization; Real-time systems; Electric vehicle; real-time; valley-filing; vehicle charging; vehicle fleet;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2014.2311954
Filename :
6777582
Link To Document :
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