Memorias de investigación
Artículos en revistas:
Peer to peer energy trading with electric vehicles
Año:2016
Áreas de investigación
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
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 IEEE Intelligent transportation systems magazine ? 34 ? Fall 2016 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%.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Intelligent Transportation Systems Magazine
ISSN
1939-1390
Factor de impacto JCR
1,547
Información de impacto
1,547, cuartil 2 en la categoría ?Engineering, Electrical & Electronic?
Volumen
DOI
Número de revista
Desde la página
33
Hasta la página
44
Mes
SIN MES
Ranking
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Generación eléctrica con energía eólica
  • Grupo de Investigación: Grupo de Sistemas Dinámicos, Aprendizaje y Control (SISDAC)
  • Departamento: Matemática Aplicada a Las Tecnologías de la Información y Las Comunicaciones
  • Departamento: Electrónica Física