Interurban Electric Vehicle Charging Stations Through Genetic Algorithms

• Jaume Jordán ^[1] ; Pasqual Martí ^[1] ; Javier Palanca ^[1] ; Julian, Vicente ^[1] ; Vicente Botti ^[1]
  1. [1] Universidad Politécnica de Valencia

     Universidad Politécnica de Valencia

     Valencia, España

     
• Localización: Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings / coord. por Hugo Sanjurjo González, Iker Pastor López , Pablo García Bringas , Héctor Quintián Pardo , Emilio Santiago Corchado Rodríguez , 2021, ISBN 978-3-030-86271-8, págs. 101-112
• Idioma: inglés
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• Resumen

  • Electric vehicles are one of the strongest ways for society to stop contributing to greenhouse gas emissions. However, for their use to become regular, a good infrastructure of charging stations is needed, allowing a similar convenience to that offered by fossil fuel stations. Our work approaches the location of charging stations to create a nationwide infrastructure. In this case, we focus on Spain and using genetic algorithms, we search for and evaluate different configurations according to the number of stations desired. Our results show that, with 250 stations, an initial infrastructure that covers most of the territory can be developed.