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

Roberto Álvaro-Hermana | Zendy; Jesús Fraile-Ardanuy | Zendy; Julia Merino | Zendy

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

Author(s) -

Roberto Álvaro-Hermana,

Jesús Fraile-Ardanuy,

Julia Merino

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.329

Subject(s) - computer science , battery (electricity) , process (computing) , energy (signal processing) , real time computing , classification of discontinuities , charging station , electric vehicle , development (topology) , peer to peer , automotive engineering , simulation , electrical engineering , distributed computing , operating system , mathematical analysis , power (physics) , statistics , physics , mathematics , quantum mechanics , engineering

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.

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