Peer to peer energy trading with electric vehicles

Álvaro Hermana, Roberto and Fraile Ardanuy, José Jesús and Zufiria Zatarain, Pedro Jose and Knapen, Luk and 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. https://doi.org/10.1109/MITS.2016.2573178.

Description

Title: Peer to peer energy trading with electric vehicles
Author/s:
  • Álvaro Hermana, Roberto
  • Fraile Ardanuy, José Jesús
  • Zufiria Zatarain, Pedro Jose
  • Knapen, Luk
  • Janssens, Davy
Item Type: Article
Título de Revista/Publicación: IEEE Inteligent Transportation Systems Magazine
Date: 21 July 2016
ISSN: 1939-1390
Volume: 8
Subjects:
Freetext Keywords: peer to peer energy trading, grid electricity price, Belgium, Flanders, activity-based model, power system, charging process, electric vehicles
Faculty: E.T.S.I. Industriales (UPM)
Department: Electrónica Física
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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%.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainIPT-2012-1072-120000UnspecifiedUnspecifiedSistema Inteligente de Gestión Energética del Edificio utilizando Vehículos Eléctricos (VE2)
FP7270833DATA SIMUnspecifiedData Science for Simulating the Era of Electric Vehicles

More information

Item ID: 44110
DC Identifier: http://oa.upm.es/44110/
OAI Identifier: oai:oa.upm.es:44110
DOI: 10.1109/MITS.2016.2573178
Official URL: http://ieeexplore.ieee.org/document/7518712/
Deposited by: Memoria Investigacion
Deposited on: 12 Dec 2016 13:33
Last Modified: 18 Mar 2019 15:22
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