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DOI: 10.14569/IJACSA.2017.080832
PDF

Energy Management Strategy of a PV/Fuel Cell/Supercapacitor Hybrid Source Feeding an off-Grid Pumping Station

Author 1: Houssem CHAOUALI
Author 2: Hichem OTHMANI
Author 3: Mohamed Selméne BEN YAHIA
Author 4: Dhafer MEZGHANI
Author 5: Abdelkader MAMI

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 8, 2017.

  • Abstract and Keywords
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Abstract: This work aims to develop an accurate energy management strategy for a hybrid renewable energy system feeding a pumping station. A developed model under Simulink environment is used to compare the performance of the pumping system when it is only fed by a photovoltaic generator, by a hybrid photovoltaic and fuel cell system and finally by a hybrid photovoltaic, fuel cell and a supercapacitor system. The developed control strategy is based on Fuzzy Logic control technique. Several simulations in different dramatic scenarios of working conditions show that the developed control strategy brought major enhancements in system performance and that the use of the supercapacitor makes economic profits by reducing the fuel cell production during critical solar irradiation periods.

Keywords: Energy management strategy; simulink; pumping station; photovoltaic generator; fuel cell generator; supercapacitor; fuzzy logic control technique

Houssem CHAOUALI, Hichem OTHMANI, Mohamed Selméne BEN YAHIA, Dhafer MEZGHANI and Abdelkader MAMI. “Energy Management Strategy of a PV/Fuel Cell/Supercapacitor Hybrid Source Feeding an off-Grid Pumping Station”. International Journal of Advanced Computer Science and Applications (IJACSA) 8.8 (2017). http://dx.doi.org/10.14569/IJACSA.2017.080832

@article{CHAOUALI2017,
title = {Energy Management Strategy of a PV/Fuel Cell/Supercapacitor Hybrid Source Feeding an off-Grid Pumping Station},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080832},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080832},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {8},
author = {Houssem CHAOUALI and Hichem OTHMANI and Mohamed Selméne BEN YAHIA and Dhafer MEZGHANI and Abdelkader MAMI}
}



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.

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