NDLI: An optimization location scheme for electric charging stations

Content Provider	IEEE Xplore Digital Library
Author	Mehar, S. Senouci, S.M.
Copyright Year	2013
Description	Author affiliation: DRIVE Labs., Univ. of Burgundy, Nevers, France (Mehar, S.; Senouci, S.M.)
Abstract	Due to environmental issues, electric mobility is one of the mobility alternatives that are receiving a huge attention nowadays. In fact, in the last few years electric vehicles have entered the world's car market. This revolutionary technology requires a fast deployment of electric charging stations since the key issue in this system is recharging the batteries. In this work, we propose an optimized algorithm to locate electric-vehicles charging stations. Different factors and limitations are considered and a real case study is given as an application. We first determine the appropriate strict constraints and cost of charging stations' location; and then we propose a mathematical formulation of the problem before solving it using our optimized algorithm named OLoCs (Optimized Location Scheme for electric charging stations). This latter is a heuristic solution; in which we adapt a genetic algorithm to solve the charging stations' location problem. We add a new operator to the classical genetic algorithm to prevent premature convergence and improve the efficiency of the algorithm. OLoCs determines the necessary number of charging stations and their best opening placement. Finally, we evaluate OLoCs performances by analyzing its convergence time and depicting the graphic placement results on a studied map.
Starting Page	1
Ending Page	5
File Size	469287
Page Count	5
File Format	PDF
ISBN	9781479906949
DOI	10.1109/SaCoNeT.2013.6654565
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-17
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smart-grid Charging station Electric vehicle Dendrogram Biological cells Optimization Genetic algorithms Genetic algorithm Clustering algorithms Electric vehicles Capacity constraint Investment cost Placement optimization Investment
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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