Optimal location and sizing of fast charging stations for electric vehicles by incorporating traffic and power networks

M. Mainul Islam, Hussain Shareef, Azah Mohamed

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Widespread adoption of electric vehicles (EVs) relies on a dependable public charging station (CS) network. CS locations should assure that vehicle users can reach the CS within the EV driving area. This study introduces a technique for optimal location and sizing of fast CSs (FCSs) that considers transportation loss, grid power loss and build-up costs. Google Maps API, battery state of charge, road traffic density and grid power losses are considered in the suggested method. A recently introduced binary lightning search algorithm is also implemented as an optimisation technique for FCS planning. The capability of the suggested method was tested in an urban area. Results reveal that the suggested technique can obtain the optimal location and sizing of FCS that can aid EV drivers, FCS builders and the utility grid. Furthermore, the suggested method obtained more realistic results compared with the traditional methods.

Original languageEnglish
Pages (from-to)947-957
Number of pages11
JournalIET Intelligent Transport Systems
Volume12
Issue number8
DOIs
Publication statusPublished - 1 Oct 2018

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electric vehicle
Electric vehicles
traffic
Lightning
Application programming interfaces (API)
traffic volume
road traffic
lightning
search engine
Planning
urban area
driver
planning
method
station
sizing
Costs
costs
cost
loss

ASJC Scopus subject areas

  • Transportation
  • Environmental Science(all)
  • Mechanical Engineering
  • Law

Cite this

Optimal location and sizing of fast charging stations for electric vehicles by incorporating traffic and power networks. / Mainul Islam, M.; Shareef, Hussain; Mohamed, Azah.

In: IET Intelligent Transport Systems, Vol. 12, No. 8, 01.10.2018, p. 947-957.

Research output: Contribution to journalArticle

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