| Yazarlar |
Ramadan Ahmed Ali Agoub
|
Prof. Dr. Aybaba HANÇERLİOĞULLARI
Kastamonu Üniversitesi, Türkiye |
|
Javad Rahebı
Türkiye |
|
Jose Manue Lopez-Guede,
|
| 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 |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | Applied Sciences |
| Dergi ISSN | 2076-3417 |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q2 |
| Makale Dili | Türkçe |
| Basım Tarihi | 10-2023 |
| Cilt No | 13 |
| Doi Numarası | 10.3390/app132011409 |
| Makale Linki | http://dx.doi.org/10.3390/app132011409 |
| Atıf Sayıları | |
| SCOPUS | 4 |
