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Title	A Novel Approach For Location Planning Of Fast-Charging Stations For E-Buses
ID_Doc	3227
Authors	Can C.; Kilic F.; Kaya Y.
Year	2025
Published	International Journal of Simulation Modelling, 24, 2
DOI	http://dx.doi.org/10.2507/IJSIMM24-2-714
Abstract	This study introduces a robust Electric Bus (EB) charging station planning model, facilitating the transition to a fully EB fleet in smart cities. The Binary Grey Wolf Optimization (BGWO) is implemented to choose suitable positions for fast-charging stations at established bus terminals in the city, considering the construction, operation maintenance, and travel costs of charging stations. The model also contains a novel repair mechanism and an objective function to ensure predefined constraints. The dataset, which includes the Adana province public transportation network of Türkiye, is used to simulate and analyse the model. We compare the proposed model with the recent metaheuristic optimization algorithms: Binary Dragonfly Algorithm (BDA) and Binary Harris Hawk Optimization (BHHO). The results indicate that the proposed approach has promising solutions for fast-charging station locations at a low cost in a reasonable time. © 2025, DAAAM International Vienna. All rights reserved.
Author Keywords	E-Bus; Fast Charging Station; Location Planning; Metaheuristic Algorithms

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