Electric vehicle charging station placement: Formulation, complexity, and solutions

Yun Sang Albert LAM*, Yiu Wing LEUNG, Xiaowen CHU

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

211 Citations (Scopus)

Abstract

To enhance environmental sustainability, many countries will electrify their transportation systems in their future smart city plans, so the number of electric vehicles (EVs) running in a city will grow significantly. There are many ways to recharge EVs' batteries and charging stations will be considered as the main source of energy. The locations of charging stations are critical; they should not only be pervasive enough such that an EV anywhere can easily access a charging station within its driving range, but also widely spread so that EVs can cruise around the whole city upon being recharged. Based on these new perspectives, we formulate the EV charging station placement problem (EVCSPP) in this paper. We prove that the problem is nondeterministic polynomial-time hard. We also propose four solution methods to tackle EVCSPP, and evaluate their performance on various artificial and practical cases. As verified by the simulation results, the methods have their own characteristics and they are suitable for different situations depending on the requirements for solution quality, algorithmic efficiency, problem size, nature of the algorithm, and existence of system prerequisite.

Original languageEnglish
Article number6879337
Pages (from-to)2846-2856
Number of pages11
JournalIEEE Transactions on Smart Grid
Volume5
Issue number6
DOIs
Publication statusPublished - 1 Nov 2014

Scopus Subject Areas

  • Computer Science(all)

User-Defined Keywords

  • Charging station
  • electric vehicle (EV)
  • location
  • smart city planning

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