Battery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm
Yazarlar (4)
Ramadan Ahmed Ali Agoub
University Of Kastamonua, Türkiye
University Of Kastamonua, Türkiye
Prof. Dr. Aybaba HANÇERLİOĞULLARI Kastamonu Üniversitesi, Türkiye
Javad Rahebı
Istanbul Topkapi University, Türkiye
Istanbul Topkapi University, Türkiye
Jose Manue Lopez-Guede,
Universidad Del Pais Vasco, İspanya
Universidad Del Pais Vasco, İspanya
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Applied Sciences Switzerland (Q2) | ||
| Dergi ISSN | 2076-3417 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 10-2023 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 18-10-2023 |
| Cilt / Sayı / Sayfa | 13 / 20 / – | DOI | 10.3390/app132011409 |
| Makale Linki | http://dx.doi.org/10.3390/app132011409 | ||
| UAK Araştırma Alanları |
Nükleer Fizik
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| Özet |
| The study focuses on the integration of a fuzzy logic-based Maximum Power Point Tracking (MPPT) system, an optimized proportional Integral-based voltage controller, and the Jellyfish Optimization Algorithm into a solar PV battery setup. This integrated approach aims to enhance energy harvesting efficiency under varying environmental conditions. The study’s innovation lies in effectively addressing challenges posed by diverse environmental factors and loads. The utilization of MATLAB 2022a Simulink for modeling and the Jellyfish Optimization Algorithm for PI-controller tuning further strengthens our findings. Testing scenarios, including constant and variable irradiation, underscore the significant enhancements achieved through the integration of fuzzy MPPT and the Jellyfish Optimization Algorithm with the PI-based voltage controller. These enhancements encompass improved power extraction, optimized voltage regulation, swift settling times, and overall efficiency gains. |
| Anahtar Kelimeler |
| battery storage | fuzzy MPPT | GA | jellyfish optimization | MPPT | PSO | PV system |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 11 |
| Google Scholar | 13 |