Determining electric vehicle charging point locations considering drivers' daily activities

González, Jairo; Álvaro, Roberto; Gamallo, Carlos; Fuentes Gomariz, Manuel; Fraile Ardanuy, José Jesús; Knapen, Luk y Janssens, Davy (2014). Determining electric vehicle charging point locations considering drivers' daily activities. "Procedia Computer Science" (n. 32); pp. 647-654. ISSN 1877-0509. https://doi.org/10.1016/j.procs.2014.05.472.

Descripción

Título: Determining electric vehicle charging point locations considering drivers' daily activities
Autor/es:
  • González, Jairo
  • Álvaro, Roberto
  • Gamallo, Carlos
  • Fuentes Gomariz, Manuel
  • Fraile Ardanuy, José Jesús
  • Knapen, Luk
  • Janssens, Davy
Tipo de Documento: Artículo
Título de Revista/Publicación: Procedia Computer Science
Fecha: 2014
Materias:
Palabras Clave Informales: Electric vehicle; charging infrastructure; optimization; activity-based mobility model
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Electrónica Física
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper the daily temporal and spatial behavior of electric vehicles (EVs) is modelled using an activity-based (ActBM) microsimulation model for Flanders region (Belgium). Assuming that all EVs are completely charged at the beginning of the day, this mobility model is used to determine the percentage of Flemish vehicles that cannot cover their programmed daily trips and need to be recharged during the day. Assuming a variable electricity price, an optimization algorithm determines when and where EVs can be recharged at minimum cost for their owners. This optimization takes into account the individual mobility constraint for each vehicle, as they can only be charged when the car is stopped and the owner is performing an activity. From this information, the aggregated electric demand for Flanders is obtained, identifying the most overloaded areas at the critical hours. Finally it is also analyzed what activities EV owners are underway during their recharging period. From this analysis, different actions for public charging point deployment in different areas and for different activities are proposed.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
FP7270833DATA SIMUNIVERSITEIT HASSELTData Science for Simulating the Era of Electric Vehicles

Más información

ID de Registro: 37411
Identificador DC: http://oa.upm.es/37411/
Identificador OAI: oai:oa.upm.es:37411
Identificador DOI: 10.1016/j.procs.2014.05.472
URL Oficial: http://www.sciencedirect.com/science/article/pii/S1877050914006723
Depositado por: Memoria Investigacion
Depositado el: 09 Sep 2015 16:12
Ultima Modificación: 09 Sep 2015 16:12
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