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Optimal priority-queuing for EV charging-discharging service based on cloud computing

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Abstract

The large-scale deployment of electric vehicles (EVs) will provide massive energy load demand on the electric smart grid especially during peak-hours. To this end, smart grid will need to balance the charging and the discharging power among public supply stations aiming to minimize the plug-in waiting time and maintain the grid stability. To achieve these goals, we propose a charging-discharging model at public supply stations (EVPSS) based on cloud computing framework, where EVs users communicate with cloud providers to upload charging and discharging calendars. To handle EVs requests, we develop a mathematical formalism based on queuing theory considering two priority queues with two EV classes, high and low. To the best of our knowledge, this is the first paper that proposes a model that tries to solve all the aforementioned issues. Through simulation results, we demonstrate the effectiveness of the proposed approach when considering real EVs charging-discharging loads at peak-hours periods.
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Dates and versions

hal-02274369 , version 1 (29-08-2019)

Identifiers

  • HAL Id : hal-02274369 , version 1

Cite

Djabir Abdeldjalil Chekired, Lyes Khoukhi. Optimal priority-queuing for EV charging-discharging service based on cloud computing. ICC 2017 - 2017 IEEE International Conference on Communications, May 2017, Paris, France. pp.1-6. ⟨hal-02274369⟩
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