A Hybrid Algorithm for Planning Public Charging Stations

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TitreA Hybrid Algorithm for Planning Public Charging Stations
Type de publicationConference Paper
Year of Publication2014
AuteursBendiabdellah Z, Senouci SMohammed, Feham M
Conference Name2014 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS)
PublisherIEEE
Conference Location345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN Number978-1-4799-5490-2
Mots-cléscharging stations, component, electric vehicles, genetic optimization, k-means clustring, smart-grid
Résumé

Green mobility solutions are receiving currently an enormous attention. Indeed, during last years, electric vehicles, being part of the field of the smart-grid, entered the automobile market of the whole world. This technology requires an effective deployment of charging stations of electric refill since the main problem in this system remains over the duration of refill of the batteries. In this work, we propose an optimized algorithm to locate electric charging stations. The main task of the algorithm is to find the best site of charging stations locations so as to minimize loss on the way to the charging station, as well as minimize investment cost, we take into account several constraints to find the optimal number and placement of charging station. Our hybrid algorithm with improved K-means clustering and genetic algorithm can be used to find optimal number and place of charging stations.