Decision model and application of electric vehicle charger installation to distribution transformers

Abstract

It is very evident that the number of electric vehicles worldwide will increase and that the dominant mobility concept in the future will be at the center of EVs. As a requirement of e-mobility, EVs should be rechargeable anywhere and in any situation, and this will increase EV-based electrification. The effects of EV charging stations on the grid are very important in the increasing electricity demand level and the installation of EV charging stations on distribution transformers (DTs) should be balanced and should not have negative effects on the transformer. This paper aims to determine the number of EV charging stations to be loaded on distribution transformers in an optimized and safe manner. The data of 8361 distribution transformers in the Central Anatolian Region were collected and analyzed. Data verification was completed with data cleansing methods and an effective EV charging station installation modeling was developed. By modeling with three different risk levels, it is possible to determine which distribution transformer will be installed from four different EV charging socket types. The general situation of DTs in the region was determined with the pilot region application. Basic data can be revealed by modeling which region can be improved for the EV infrastructure going forward.