Peer to peer energy trading with electric vehicles

Álvaro Hermana, Roberto; Fraile Ardanuy, José Jesús; Zufiria Zatarain, Pedro Jose; Knapen, Luk y Janssens, Davy (2016). Peer to peer energy trading with electric vehicles. "IEEE Inteligent Transportation Systems Magazine", v. 8 (n. 3); pp. 33-44. ISSN 1939-1390.


Título: Peer to peer energy trading with electric vehicles
  • Álvaro Hermana, Roberto
  • Fraile Ardanuy, José Jesús
  • Zufiria Zatarain, Pedro Jose
  • Knapen, Luk
  • Janssens, Davy
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Inteligent Transportation Systems Magazine
Fecha: 21 Julio 2016
Volumen: 8
Palabras Clave Informales: peer to peer energy trading, grid electricity price, Belgium, Flanders, activity-based model, power system, charging process, electric vehicles
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Electrónica Física
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (2MB) | Vista Previa


This paper presents a novel peer-to-peer energy trading system between two sets of electric vehicles, which significantly reduces the impact of the charging process on the power system during business hours. This trading system is also economically beneficial for all the users involved in the trading process. An activity-based model is used to predict the daily agenda and trips of a synthetic population for Flanders (Belgium). These drivers can be initially classified into three sets; after discarding the set of drivers who will be short of energy without charging chances due to their tight schedule, we focus on the two remaining relevant sets: those who complete all their daily trips with an excess of energy in their batteries and those who need to (and can) charge their vehicle during some daily stops within their scheduled trips. These last drivers have the chance to individually optimize their energy cost in the time-space dimensions, taking into account the grid electricity price and their mobility constraints. Then, collecting all the available offer/demand information among vehicles parked in the same area at the same time, an aggregator determines an optimal peer-to-peer price per area and per time slot, allowing customers with excess of energy in their batteries to share with benefits this good with other users who need to charge their vehicles during their daily trips. Results show that, when applying the proposed trading system, the energy cost paid by these drivers at a specific time slot and in a specific area can be reduced up to 71%.

Proyectos asociados

Gobierno de EspañaIPT-2012-1072-120000Sin especificarSin especificarSistema Inteligente de Gestión Energética del Edificio utilizando Vehículos Eléctricos (VE2)
FP7270833Sin especificarSin especificarEuropean Union Seventh Framework Programme (FP7/2007-2013)

Más información

ID de Registro: 44110
Identificador DC:
Identificador OAI:
Identificador DOI: 10.1109/MITS.2016.2573178
URL Oficial:
Depositado por: Memoria Investigacion
Depositado el: 12 Dic 2016 13:33
Ultima Modificación: 12 Dic 2016 13:38
  • GEO_UP4
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • InvestigaM
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM