A GIS-based optimal facility location framework for fast electric vehicle charging stations

Usman Zafar, I. Safak Bayram, Sertac Bayhan

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

20 Citations (Scopus)
345 Downloads (Pure)

Abstract

Deeper decarbonization of the transport sector requires building a wide coverage electric vehicle charging network that can meet driver's mobility patterns and refueling habits in a seamless manner. Currently, major market players mainly deploy chargers at existing public parking spaces at hotels, shopping centers, etc. On the other hand, gas/petroleum retail business is a century-old industry and “optimized” to serve the refueling needs of the drivers and they come to the forefront as “good” locations to site chargers. To that end, this paper addresses the fast charging station location problem in an urban environment. The optimization problem is formulated as a maximum coverage location problem (MCLP) and existing locations of petrol/fuel stations are considered as candidate locations. Using QGIS software, a geographic information system (GIS) based platform is developed and integrated with a linear-programming relaxation based MCLP algorithm developed in Python. The city of Raleigh, North Carolina with actual geo-spatial data is chosen as a case study. Both census population and highway traffic data are considered as demand metrics to mimic drivers without dedicated chargers and vehicles on highways who need a recharge. A number of evaluations are performed to explore the trade-off between the number of locations and the physical coverage space. Furthermore, comparative analysis show that locating fast chargers in existing petrol stations improve demand coverage by more than 50 % when compared to existing fast charging station locations.
Original languageEnglish
Title of host publication2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages5
ISBN (Electronic)9781728190235, 9781728190228
ISBN (Print)9781728190242
DOIs
Publication statusPublished - 1 Nov 2021
EventThe 30th International Symposium on Industrial Electronics -
Duration: 23 Jun 202126 Jun 2021
https://www.isie2021.org/

Publication series

NameIEEE International Symposium on Industrial Electronics (ISIE)
PublisherIEEE
ISSN (Print)2163-5137
ISSN (Electronic)2163-5145

Conference

ConferenceThe 30th International Symposium on Industrial Electronics
Period23/06/2126/06/21
Internet address

Keywords

  • electric vehicles
  • petrol stations
  • facility location
  • fast chargers
  • maximum coverage problem

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