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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Smart Grids
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1453711
This article is part of the Research Topic Transportation Electrification in Smart Grids View all articles

Optimal planning strategy for charging and discharging an electric vehicle connected to the grid through wireless recharger

Provisionally accepted
Asma Boukhchana Asma Boukhchana 1Flah Aymen Flah Aymen 1,2*abdel aziz al kuhayli abdel aziz al kuhayli 3rahmat ullah rahmat ullah 4*claude Z. El-bayeh claude Z. El-bayeh 5*
  • 1 École Nationale d'Ingénieurs de Gabès, Gabès, Tunisia
  • 2 Gabes University, Gabès, Gabes, Tunisia
  • 3 King Saud University, Riyadh, Riyadh, Saudi Arabia
  • 4 Cardiff University, Cardiff, United Kingdom
  • 5 Bayeh Institute, Lebanon, Lebanon

The final, formatted version of the article will be published soon.

    Abstract The increasing number of electric Vehicles (EVs) and their influence on the power grid present difficulties that this article addresses by suggesting optimal planning methods for EV charging and discharging. EV charging and discharging operations are effectively managed by creating both locally and globally optimal planning schemes. Future transportation could be changed by the widespread adoption of dynamic wireless power transfer systems in conjunction with EVs, as they would enable speedier travel and continuous EV battery recharging. Dynamic wireless power transfer is a practical answer to problems with electric vehicles. The electrification of automobiles will have a significant influence on the power infrastructure due to the increase in demand for electricity. In this study, we provide an optimal planning method worldwide and a locally optimal strategy for EV charging and discharging. To minimize the total cost of all EVs that charge and discharge during the day, we propose an optimization problem for global planning in which the charging powers are optimized. The simulation results demonstrate that the proposed planning schemes can effectively reduce the total electricity cost for EV owners while also minimizing the impact on the power grid. The globally optimal planning scheme achieves the lowest electricity cost, while the locally optimal scheme provides a good balance between cost reduction and computational complexity.

    Keywords: electric vehicle, Dynamic wireless charging, inductive power transfer, optimal planning, Charging and Discharging Smart Grid, vehicle-to-grid (V2G), Vehicle battery, State of charge (SOC)

    Received: 23 Jun 2024; Accepted: 20 Aug 2024.

    Copyright: © 2024 Boukhchana, Aymen, al kuhayli, ullah and El-bayeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Flah Aymen, École Nationale d'Ingénieurs de Gabès, Gabès, Tunisia
    rahmat ullah, Cardiff University, Cardiff, CF10 3AT, United Kingdom
    claude Z. El-bayeh, Bayeh Institute, Lebanon, Lebanon

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.