چكيده به لاتين
Regarding the economic and environmental issues, electric vehicles are on the rise every day in the world. Therefore, battery charging of electric vehicles is very important. The charging stations have been used for charging batteries for a number of years, and their efficiency and popularity have been identified. The drawback on these stations is the long time to wait for charging batteries. For this reason, in recent years, a topic which has been called the swapping of electric car batteries is developed. Customers can switch their empty car battery with a charged battery in less than a few minutes by going to the battery swapping stations. This thesis proposes an optimization frame-work for the operating model of battery swapping stations. The proposed model considers the day-ahead scheduling process. In order to cope with the uncertainty of the price of electricity and uncertainty in the demand for battery, a day-ahead decision model has been used. For the price of electricity, the multi-band Robust Optimization technique and for the battery demands, Inventory Theory Robust Optimization have been used. In order to solve this problem, Modeling was done in GAMS software and the results were examined. In order to investigate the relationship between the discounts provided by the station and the lack of energy in the vehicle's replacement batteries, new information has been used, and the states of uncertainty, energy price and battery demand have been investigated, Also, the association of battery storage with energy shortages in batteries has been investigated. In the end, to check the customer's benefit, the cost of charging the batteries based on the kilometer traveled per charge has been calculated.
