Optimal Placement of Electric Vehicle Charging Stations in Populated Regions of Tehran for Various Demands Distribution
Development of clean transportation using electric vehicles is one of the best ways to deal with environmental pollution and global warming. However, there are many challenges, one of the main of which is the development of charging infrastructure and their optimal location. For this purpose, in this article, the problem of finding the optimal location of charging stations in the densely populated areas of Tehran, considering the parking lots and gas stations has been addressed. First, a mathematical model based on Integer Linear Programming (ILP) is developed for this problem. In this model, we tried to add various constraints and statistical distributions to make the problem as realistic as possible. Then, by using the discrete Genetic Algorithm (GA), the optimal solution has been obtained from the point of view of the least amount of investment required for the construction of stations, as well as the greatest comfort for passengers in their daily life. In other words, the drivers are able to reach the first charging station by traveling the shortest possible distance while the government spends the least amount of investment to set them up.
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