Optimal allocation of rapid charging stations for electric vehicles

Md Mainul Islam, Azah Mohamed, Hussain Shareef

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

Electric vehicle (EV) is considered as one of the best solution for future automobile industry because of its unique characteristics such as energy saving, lower noise and a reduction of carbon dioxide and other pollutants. The optimal placement of charging station (CS) is important for widespread deployment of EVs. Therefore, this paper proposes an optimization approach for the optimal allocation of rapid CS (RCS) which considers travelling loss, build-up and substation energy loss cost. The binary firefly algorithm (BFA) is applied to minimize the daily total cost by determining the optimal location of RCS. The outcomes show that the suggested method can determine the optimal location and sizing of RCS that can help EV users, RCS developers and power grid.

Original languageEnglish
Title of host publication2015 IEEE Student Conference on Research and Development, SCOReD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages378-383
Number of pages6
ISBN (Electronic)9781467395724
DOIs
Publication statusPublished - 2015
EventIEEE Student Conference on Research and Development, SCOReD 2015 - Kuala Lumpur, Malaysia
Duration: Dec 13 2015Dec 14 2015

Publication series

Name2015 IEEE Student Conference on Research and Development, SCOReD 2015

Conference

ConferenceIEEE Student Conference on Research and Development, SCOReD 2015
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/13/1512/14/15

Keywords

  • binary firefly algorithm
  • electric vehicle
  • optimal planning
  • rapid charging station

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Computer Science Applications

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