Bouguerra, Assala and Badoud, Abd Essalam and Mekhilef, Saad and Kanouni, Badreddine and Bajaj, Mohit and Zaitsev, Ievgen (2024) Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments. Scientific Reports, 14 (1). p. 13946. ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-024-64915-7.
Full text not available from this repository.Abstract
This study looks into how to make proton exchange membrane (PEM) fuel cells work more efficiently in environments that change over time using new Maximum Power Point Tracking (MPPT) methods. We evaluate the efficacy of Flying Squirrel Search Optimization (FSSO) and Cuckoo Search (CS) algorithms in adapting to varying conditions, including fluctuations in pressure and temperature. Through meticulous simulations and analyses, the study explores the collaborative integration of these techniques with boost converters to enhance reliability and productivity. It was found that FSSO consistently works better than CS, achieving an average increase of 12.5% in power extraction from PEM fuel cells in a variety of operational situations. Additionally, FSSO exhibits superior adaptability and convergence speed, achieving the maximum power point (MPP) 25% faster than CS. These findings underscore the substantial potential of FSSO as a robust and efficient MPPT method for optimizing PEM fuel cell systems. The study contributes quantitative insights into advancing green energy solutions and suggests avenues for future exploration of hybrid optimization methods.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Boost converter integration; Cuckoo Search (CS); Dynamically operating environments; Flying Squirrel Search Optimization (FSSO); Maximum power point tracking (MPPT); PEM fuel cell |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 16 Jan 2025 02:09 |
| Last Modified: | 16 Jan 2025 02:09 |
| URI: | http://eprints.um.edu.my/id/eprint/46884 |
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