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

Tohid Harighi, Sanjeevikumar Padmanaban, Ramazan Bayindir, Eklas Hossain and Jens Bo Holm-Nielsen
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Tohid Harighi: Graduate School of Natural and Applied Sciences, 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

Energies, 2019, vol. 12, issue 18, 1-22

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.

Keywords: electric vehicles; charging station; transformer; Energy PLAN; grid; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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