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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 3, 2020.
Abstract: In this paper, improved control strategies of a smart topology of EVs charging station (CS) based on grid tied PV/Battery system are designed and analyzed. The proposed strategies consist of three operating modes i.e. Pv2B; charging a battery storage buffer (BSB) of the CS from solar energy, V2G; discharging an EV battery via grid, and Pv2G; injecting the produced power from PV system into the energy distribution system. However, the BSB is connected to the PV system through a single ended primary inductor converter, the V2G operating mode is emulated by an EV lithium-ion battery tied to the grid via a high frequency full bridge inverter and a bidirectional dc/dc converter. The aim of this work is to improve the energy efficiency of the CS by using a hybrid energy system. Simulation studies are performed in Matlab/Simulink in order to operate the proposed solar CS with multiple control strategies of each case scenario based on a CS management algorithm (CSMA). To provide credible findings of this research, a low power prototype is developed in order to validate the proposed CSMA and its associated controls.
Abdelilah Hassoune, Mohamed Khafallah, Abdelouahed Mesbahi and Tarik Bouragba, “Improved Control Strategies of Electric Vehicles Charging Station based on Grid Tied PV/Battery System” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110314
@article{Hassoune2020,
title = {Improved Control Strategies of Electric Vehicles Charging Station based on Grid Tied PV/Battery System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110314},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110314},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {3},
author = {Abdelilah Hassoune and Mohamed Khafallah and Abdelouahed Mesbahi and Tarik Bouragba}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.