Algorithm development for night charging electric vehicles optimization in big data applications

Roberto Alvaro-Hermana; Jesús Fraile-Ardanuy; Julia Merino

doi:10.1016/j.procs.2017.05.329

Algorithm development for night charging electric vehicles optimization in big data applications

Roberto Alvaro-Hermana
, Jesús Fraile-Ardanuy
, Julia Merino

TECNALIA Research & Innovation

University of Deusto
Technical University of Madrid

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

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Resumen

In this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.

Idioma original	Inglés
Páginas (desde-hasta)	793-800
Número de páginas	8
Publicación	Procedia Computer Science
Volumen	109
DOI	https://doi.org/10.1016/j.procs.2017.05.329
Estado	Publicada - 2017
Evento	8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 - Madeira, Portugal Duración: 16 may 2017 → 19 may 2017

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 17: Alianzas para lograr los objetivos

Palabras clave

Electric vehicles
Peer-to-peer
Optimization

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title = "Algorithm development for night charging electric vehicles optimization in big data applications",

abstract = "In this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users{\textquoteright} personal mobility constraints.",

keywords = "Electric vehicles, Peer-to-peer, Optimization, Electric vehicles, Peer-to-peer, Optimization",

author = "Roberto Alvaro-Hermana and Jes{\'u}s Fraile-Ardanuy and Julia Merino",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Elsevier B.V.; 8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 ; Conference date: 16-05-2017 Through 19-05-2017",

year = "2017",

doi = "10.1016/j.procs.2017.05.329",

language = "English",

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AU - Alvaro-Hermana, Roberto

AU - Fraile-Ardanuy, Jesús

AU - Merino, Julia

PY - 2017

Y1 - 2017

N2 - In this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.

AB - In this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.

KW - Electric vehicles

KW - Peer-to-peer

KW - Optimization

KW - Electric vehicles

KW - Peer-to-peer

KW - Optimization

UR - https://www.scopus.com/pages/publications/85021818368

U2 - 10.1016/j.procs.2017.05.329

DO - 10.1016/j.procs.2017.05.329

M3 - Conference article

SN - 1877-0509

VL - 109

SP - 793

EP - 800

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017

Y2 - 16 May 2017 through 19 May 2017

ER -

Algorithm development for night charging electric vehicles optimization in big data applications

Resumen

ODS de las Naciones Unidas

Palabras clave

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