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

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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’ personal mobility constraints.

Original language	English
Pages (from-to)	793-800
Number of pages	8
Journal	Procedia Computer Science
Volume	109
DOIs	https://doi.org/10.1016/j.procs.2017.05.329
Publication status	Published - 2017
Event	8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 - Madeira, Portugal Duration: 16 May 2017 → 19 May 2017

Keywords

Electric vehicles
Peer-to-peer
Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procs.2017.05.329

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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.",

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

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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

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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

Abstract

Keywords

UN SDGs

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