Following the boost in technology in recent years, electric vehicles have flourished at an amazing rate and have become viable replacements for gasoline vehicles. Accordingly, an urgent need for optimal land use planning (LUP) for charging stations (CSs) has emerged. With the purpose of satisfying this demand, this study aims to solve the charging station distribution problem by determining the suitable number of chargers in a station, optimizing the distribution of CSs, and generating growth plans in lines with countries’ regulations. First, queuing theory was used to determine the optimal number of chargers in a station; the effectiveness was measured by adopting China as an example. Second, in order to optimize the area distribution of CSs, graph theory was used to determine the shortest path using Floyd algorithm (FA); the aptness of the distribution of CSs was examined in parts of South Korea. Finally, analytic hierarchy process (AHP) was used to test the growth plan of the CS network in the U. S., South Korea, China, and Cote d’Ivoire, considering population density distributions, wealth distributions, and geographical conditions.
A Three-layer Optimal Distribution Problem for Electric Vehicle Charging Stations
Lect. Notes Electrical Eng.
2021-12-14
19 pages
Article/Chapter (Book)
Electronic Resource
English
A Three-layer Optimal Distribution Problem for Electric Vehicle Charging Stations
British Library Conference Proceedings | 2022
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