Electric vehicle charge station layout planning: A case study in Istanbul Technical University campus

Abstract

While the popularity of electric vehicles is rising, several studies have been conducted on the challenges surrounding charging stations. The choice of charging station layout planning is evaluated in this study, which is based on available parking capacity and potential vehicle users on campus. Its goal is to figure out how various data and different coverage methods affect optimal selection. These models aim to serve the regions within a specified distance with the least possible number of stations. The data are collected with geographic information system, and the Voronoi diagram is used to solve the models. The findings of the models have been compared, and station sites that were deemed suitable for the campus have been determined. Evaluation of three models allows the most appropriate solution for the campus to set up five stations and use a 700‐m service distance. In this study, an opportunity was created to observe how the added parameters affect the optimization model and the results.

Electric vehicle charging stations: Model, algorithm, simulation, location, and capacity planning

“… [ 35 ] IP Demand coverage – – Public EVNC User behavior EV penetration rate gives the value of energy demand. [ 36 ] MIP Distance coverage – – Public EVNC Parking behaviors It is recommended to use the proposed coverage model in industrial zones, cities and microgrids. [ 37 ] MCLP Demand coverage – – Node EVFC User behavior Placing fast chargers at petrol stations increases demand coverage by over 50% versus current fast charging locations.…”

“…In Ref. [ [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] ], the set covering location model and the maximal coverage location model are presented as pivotal methodologies in facility location optimization. The set covering model seeks to ascertain the minimal number of facilities required to comprehensively service an entire area without any limitations, whereas the maximal coverage model imposes constraints on the facility count to optimize service coverage.…”