A novel method for optimal placement of vehicle-to-grid charging stations in distribution power system using a quantum binary lightning search algorithm

Ahmed Aljanad, Azah Mohamed, Hussain Shareef, Tamer Khatib

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Vehicle-to-Grid (V2G) technology is currently used in plug-in hybrid electric vehicles (PHEV) during the discharging mode. This technology has become a considerable mechanism to provide a backup power source for distribution networks. In the meanwhile, these vehicles need Charging Stations (CSs) to receive power from the grid. Therefore, determining the optimal CS placement in the distribution network to utilize the V2G technology of PHEV has become an essential component so as to enhance the performance of the distribution network in the time of peak demand. This paper discusses a generalized methodology to assess the optimal placement when installing the CS in the distribution network. This optimization is done using a novel heuristic optimization technique called quantum binary lightning search algorithm. A multi-objective function is set to utilize the V2G technology to minimize line loading, voltage deviation, and circuit power loss. The performance of the proposed method is compared to the performance of other heuristic optimization techniques. As a result, the proposed algorithm has fewer limitations in terms of premature convergence than other heuristic optimization techniques.

Original languageEnglish
Pages (from-to)174-183
Number of pages10
JournalSustainable Cities and Society
Volume38
DOIs
Publication statusPublished - Apr 2018

Keywords

  • Charging stations
  • Line loading
  • Plug-in hybrid electric vehicle
  • Quantum binary lightning search algorithm
  • Vehicle-to-grid

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Transportation

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