DocumentCode :
348725
Title :
A genetic-algorithm based scheduling method of charging electric vehicles
Author :
Sugii, Yasuyuki ; Tsujino, Katsuhiko ; Nagano, Takafumi
Author_Institution :
Electricity Utilization Group, Tokyo Electr. Power Co. Inc., Japan
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
435
Abstract :
This paper describes a genetic-algorithm based scheduling method of charging electric vehicles. This method basically determines sub-optimal charging time-table which satisfies a given electric-load versus time curve under the structural constraint of the charging facilities such that the vehicles must be assigned to a few charging bays with given number contactors, and that the vehicles in a bay must be charged sequentially by one charger. By adopting the proposed methods, a cost-saving charging schedule can be obtained, which is blessed with the benefit of night electricity by using low-cost charging facilities
Keywords :
electric vehicles; genetic algorithms; scheduling; transportation; charging time-table; electric vehicles; genetic-algorithm; optimisation; scheduling; Automotive engineering; Batteries; Business; Contactors; Costs; Electric vehicles; Genetic algorithms; Petroleum; Search methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
ISSN :
1062-922X
Print_ISBN :
0-7803-5731-0
Type :
conf
DOI :
10.1109/ICSMC.1999.812443
Filename :
812443
Link To Document :
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