Optimal Fast Charging Station Development Model Using Real Time Traffic Information

Madathodika Asna, Hussain Shareef, Achikkulath Prasanthi

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


Carbon emissions from conventional vehicles have significantly damaged the ecosystem balance, and have pushed the transportation sector to switch towards cleaner fuel sources that can power vehicles more efficiently. Electric vehicles (EV) offer an excellent substitute for fossil fuel-fired vehicles; however, the availability of publicly accessible charging stations is essential for wider adoption and acceptance of electric vehicles by customers. This paper presents an optimal fast charging station planning method to determine station location and station capacity. The method aims to minimize the overall station cost that includes investment costs, operation costs, and EV charging costs without compromising the EV user benefits and distribution network performance constraints. In addition, queuing theory based station capacity estimation is employed to ensure adequate station efficiency. Furthermore, this planning methodology uses Google Map Services to estimate the average time a user is required to access the charging station from the demand point, taking into account real road traffic flow information. The developed model is solved and optimized using a Binary Particle Swarm Optimization algorithm. The simulation result validates the novelty and feasibility of the developed charging station model.

Original languageEnglish
Title of host publicationZEMCH 2021 - 8th Zero Energy Mass Custom Home International Conference, Proceedings
EditorsKheira Anissa Tabet Aoul, Mohammed Tariq Shafiq, Daniel Efurosibina Attoye
PublisherZEMCH Network
Number of pages9
ISBN (Electronic)9789948310006
Publication statusPublished - 2021
Event8th Zero Energy Mass Custom Home International Conference, ZEMCH 2021 - Dubai, United Arab Emirates
Duration: Oct 26 2021Oct 28 2021

Publication series

NameZEMCH International Conference
ISSN (Electronic)2652-2926


Conference8th Zero Energy Mass Custom Home International Conference, ZEMCH 2021
Country/TerritoryUnited Arab Emirates


  • Distribution network
  • Electric vehicle
  • Fast charging station
  • Queuing theory
  • Traffic flow

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality
  • Building and Construction
  • Architecture
  • Renewable Energy, Sustainability and the Environment
  • Computer Science Applications


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