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

被引:0
作者
Boukhchana, Asma [1 ]
Flah, Aymen [1 ,2 ,3 ,4 ]
Alkuhayli, Abdulaziz [5 ]
Ullah, Rahmat [6 ]
El-Bayeh, Claude Ziad [7 ]
机构
[1] Processes, Energy, Environment and Electrical Systems, National Engineering School of Gabes, University of Gabes, Gabes
[2] MEU Research Unit, Middle East University, Amman
[3] The Private Higher School of Applied Sciences and Technology of Gabes (ESSAT), University of Gabes, Gabes
[4] Applied Science Research Center, Applied Science Private University, Amman
[5] Electrical Engineering Department, College of Engineering, King Saud University, Riyadh
[6] Advanced High Voltage Engineering Research Centre, Cardiff University, Cardiff
[7] Department of Electrical Engineering, Bayeh Institute, Amchit
关键词
charging and discharging smart grid; dynamic wireless charging; electric vehicle; inductive power transfer; optimal planning; state of charge (SOC); vehicle battery; vehicle-to-grid (V2G);
D O I
10.3389/fenrg.2024.1453711
中图分类号
学科分类号
摘要
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. Copyright © 2024 Boukhchana, Flah, Alkuhayli, Ullah and El-Bayeh.
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