Development of an ILP model for optimal site selection and sizing of electric vehicle charging station using GA: a case study of Tehran

The development and adoption of Electric Vehicles (EVs) appears to be an excellent way to mitigate environmental problems such as climate change and global warming exacerbated by the transportation sector. However, it faces numerous challenges, such as optimal locations for EV charging stations and underdeveloped EVs charging infrastructure among the major obstacles. The present study is focused on the location planning of charging stations in real cases of central and densely populated districts of Tehran, the capital of Iran. In order to achieve this goal, this paper attempts to validate the results of a previous study in another country. Secondly, by employing preceding principals in accordance with relevant information collected from the car parking and petrol stations in the regions of study, a five-integer linear program is developed based on a weighted set coverage model, considering EV users convenience, daily life conditions, and investment costs, and finally optimally solved by a genetic algorithm under various distribution conditions; normal, uniform, Poisson and exponential, to specify the location and number of EV charging stations in such a way that EV drivers can have access to chargers, within an acceptable driving range