Optimal siting and sizing of electric taxi charging stations considering transportation and power system requirements

[EN] Electric vehicles (EVs) have become more popular to address transportation-related environmental concerns. However, to integrate a massive fleet of EVs, it is crucial to properly build charging stations by considering the optimal geographical placement and number of charging spots. This task is...

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Detalles Bibliográficos
Autores: Clairand, Jean-Michel, González-Rodríguez, Mario, Kumar, Rajesh, Vyas, Shashank, Escrivá-Escrivá, Guillermo|||0000-0002-3202-4571
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/193719
Acceso en línea:https://riunet.upv.es/handle/10251/193719
Access Level:acceso abierto
Palabra clave:Charging station
Electric vehicle
Power distribution systems
Siting and sizing
Transportation network
INGENIERIA ELECTRICA
Descripción
Sumario:[EN] Electric vehicles (EVs) have become more popular to address transportation-related environmental concerns. However, to integrate a massive fleet of EVs, it is crucial to properly build charging stations by considering the optimal geographical placement and number of charging spots. This task is particularly challenging for users with rigid schedules such as taxi drivers. Hence, an optimal siting and sizing approach for an electric taxi (ET) charging station is proposed in this study, considering both transportation and power system needs. In addition, particular attention to taxi drivers' needs is considered. Fixed installation costs, land costs, and trip costs are the factors evaluated in this proposed approach. A network modeling approach based on a winner-takes-all edge trimming was used to identify interest points of the city in terms of traffic flows. Ecuador's capital, Quito, was considered a case study. A sensitivity analysis was also carried out to address traffic flow uncertainties such as trip expenses and restrictions.