Improving Reliability of Isolated Microgrid-based Solar Energy Using Fuzzy Controlled-Flywheel Energy Storage | ||||
| Aswan University Journal of Sciences and Technology | ||||
| Volume 5, Issue 1, March 2025, Page 63-82 PDF (3.36 MB) | ||||
| Document Type: Original papers | ||||
| DOI: 10.21608/aujst.2024.332849.1141 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Abdelkader Omar Abdelkader   1; mohamed aly2; Salah Kamel3; Mouaz Zobair3; Sayed Mohamed Said 4
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| 1Department of Electrical Engineering Aswan University | ||||
| 2Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt | ||||
| 3Department of Electrical Engineering, Aswan University, Aswan, Egypt | ||||
| 4Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt | ||||
| Abstract | ||||
| Islanded microgrids (MGs) deliver essential electrical power to remote areas utilizing renewable energy sources (RESs). The most common RES is solar power generation (SPG). Still, these systems have several serious issues with the natural conditions of temperature and solar radiation, which reduces the reliability of the MG and may negatively affect the voltage level and frequency regulation. Energy storage techniques are important in overcoming the above issues with the island MGs. This study presents an effective control method to improve the performance of the islanded MG during normal operation and critical circumstances by employing a flywheel energy storage system (FESS) based on a fuzzy logic controller (FLC). Three scenarios are examined at different solar radiation conditions and load demand with the MATLAB/Simulink platform. Regarding Scenario 3, as a worst case, the percentages of the minimum undershoot and maximum overshoot frequency values are 4.18% and 1.1% in the case without FESS, respectively, where these are 0.98% and 0.32% with FESS, respectively. On the other hand, the percentages of the minimum undershoot, and maximum overshoot values of the common connection point (CCP) voltage can be reduced from 2.3% and 6.3% without using FESS to 0.79% and 5% when using FESS, respectively. The simulation results demonstrate that the suggested method is superior at reducing frequency and voltage fluctuations, and the dependence on the diesel generator is reduced. | ||||
| Keywords | ||||
| hybrid generation systems, isolated Microgrid, photovoltaic, flywheel storage hybrid generation systems; isolated Microgrid; photovoltaic; flywheel storage system; fuzzy logic controller | ||||
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