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Electric Vehicle Charge Stations Location Analysis and Determination—Ankara (Turkey) Case Study

Author

Listed:
  • Tohid Harighi

    (Graduate School of Natural and Applied Sciences, Gazi University, 06500 Ankara, Turkey
    Department of Electrical and Electronics Engineering, Faculty of Technology, Gazi University, 06500 Ankara, Turkey)

  • Sanjeevikumar Padmanaban

    (Center for Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark)

  • Ramazan Bayindir

    (Department of Electrical and Electronics Engineering, Faculty of Technology, Gazi University, 06500 Ankara, Turkey)

  • Eklas Hossain

    (Oregon Renewable Energy Center (OREC), Department of Electrical Engineering & Renewable Energy, Oregon Tech, Klamath Falls, OR 97601, USA)

  • Jens Bo Holm-Nielsen

    (Center for Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark)

Abstract

Locating electric vehicle charge stations has always been an important problem for electric distributers. Many basic and complex solutions have been provided by algorithms and methods to solve this problem in real and assumed grids. However, the data, which has been used in those algorithms, are not consistent with the diversity of locations, thus, do not meet the expected results. Grid locations are the most important aspects of this issue in the eyes of designers, investors, and the general public. Locating charge stations must be determined by plans which have influenced majority in the society. In some countries, power quality has been increased by storages, which are used in vehicle-to-grid (V2G) and similar operations. In this paper, all of the variables for locating charging stations are explained according to Ankara metropolitan. During the implemented analysis and literature reviews, an algorithm, based on location and grid priorities and infrastructures, are 154 kV and 33 kV, have been designed. Genetic algorithms have been used to demonstrate this method even though other algorithms can also be adopted to meet the priority.

Suggested Citation

  • Tohid Harighi & Sanjeevikumar Padmanaban & Ramazan Bayindir & Eklas Hossain & Jens Bo Holm-Nielsen, 2019. "Electric Vehicle Charge Stations Location Analysis and Determination—Ankara (Turkey) Case Study," Energies, MDPI, vol. 12(18), pages 1-22, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3472-:d:265487
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    References listed on IDEAS

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    Cited by:

    1. Ömer Kaya & Kadir Diler Alemdar & Tiziana Campisi & Ahmet Tortum & Merve Kayaci Çodur, 2021. "The Development of Decarbonisation Strategies: A Three-Step Methodology for the Suitable Analysis of Current EVCS Locations Applied to Istanbul, Turkey," Energies, MDPI, vol. 14(10), pages 1-21, May.
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    3. Mikołaj Schmidt & Paweł Zmuda-Trzebiatowski & Marcin Kiciński & Piotr Sawicki & Konrad Lasak, 2021. "Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem," Energies, MDPI, vol. 14(11), pages 1-34, May.

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