Decreasing the Battery Recharge Time if Using a Fuzzy Based Power Management Loop for an Isolated Micro-Grid Farm
Habib Kraiem,
Aymen Flah,
Naoui Mohamed,
Mohamed H. B. Messaoud,
Essam A. Al-Ammar,
Ahmed Althobaiti,
Abdullah Alhumaidi Alotaibi,
Michał Jasiński,
Vishnu Suresh,
Zbigniew Leonowicz and
Elżbieta Jasińska
Additional contact information
Habib Kraiem: Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73222, Saudi Arabia
Aymen Flah: Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabès, University of Gabès, Gabès 6072, Tunisia
Naoui Mohamed: Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabès, University of Gabès, Gabès 6072, Tunisia
Mohamed H. B. Messaoud: Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabès, University of Gabès, Gabès 6072, Tunisia
Essam A. Al-Ammar: Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
Ahmed Althobaiti: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Abdullah Alhumaidi Alotaibi: Department of Science and Technology, College of Ranyah, Taif University, Taif 21944, Saudi Arabia
Michał Jasiński: Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Vishnu Suresh: Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Zbigniew Leonowicz: Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Elżbieta Jasińska: Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Sustainability, 2022, vol. 14, issue 5, 1-21
Abstract:
An isolated micro-grid has different requirements from the traditional power grids. Several energy sources may be linked for the purpose of sharing load demand without being linked to the grid. The isolated micro-grid is made up of at least one energy generator, an energy storage system, and a load portion. Because there are several energy sources and a range of models, the power flow must be managed to ensure the safety of all hardware. Monitoring the flow of power from multiple energy sources necessitates adherence to many parameters and other requirements. As a result, the goal of this work is to identify a worthwhile solution for providing the appropriate portions with the necessary power while also obtaining the necessary energy from other sources. The approach is based on the fuzzy logic controller, which is an intelligent technology. This regulator is used in an efficient process that tries to control all of the equipment in the isolated micro-grid under investigation. The MATLAB/Simulink platform is employed for simulating this proposed system, and then, the depicted results were discussed and compared. Showing the traditional relay control, the standard PI regulator, and a neural control combination process, the achieved results prove that it is possible to reduce the battery recharge time to half; if the proposed fuzzy controller is used. Then, the established controller specifications have been used for evaluating the energy performances of the hybrid energy system under a real case situation in a specific location in the world. Consequently, the obtained results prove that this proposal power management system will be largely beneficial for such energy storage applications and an energy yield can be assured during all climatic conditions and specifications.
Keywords: wind energy; photovoltaic energy; energy storage; fuzzy logic control; converters; simulation; online control; energy management; micro-grid (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:5:p:2870-:d:761962
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