Abstract:

The use of electric vehicles in Turkey is increasing from one day to the next. This study focuses on determining the efficient locations for the positioning of electric vehicle charging stations to be established in Istanbul. Geographic Information System was used in the study; a location map was created for the traffic density map of Istanbul and the existing electric vehicle charging stations The genetic algorithm was used to determine the points of highest charging inqury in the city and to calculate the charging demand satisfaction situation of the existing charging stations. The constraints are that the estimated charging demand is not met to a certain extent at the charging demand points and that the locations are at a maximum distance of 500 metres from the charging demand points. With the solution sets generated according to the genetic algorithm, 10 efficient locations were determined from the 223 Istanbul Parking Lot Operations datasets, representing the locations where the charging station is planned to be installed. The identified locations are the areas with high traffic in Istanbul. In this study, electric vehicle charging network operators can calculate the time to tolerate this cost for the installation of charging stations, which is quite costly; it suggests an approach to location planning so that electric vehicle users can satisfy their charging needs as quickly as possible without creating long queues.

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