| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Energy Conversion and Management (Q1) | ||
| Dergi ISSN | 0196-8904 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2024 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-07-2024 |
| Cilt / Sayı / Sayfa | 312 / 1 / 1–21 | DOI | 10.1016/j.enconman.2024.118560 |
| Makale Linki | http://dx.doi.org/10.1016/j.enconman.2024.118560 | ||
| Özet |
| This study investigates the optimization of a grid-connected hybrid energy system integrating photovoltaic (PV) and wind turbine (WT) components alongside battery and supercapacitor storage. The research addresses the critical need for efficient energy storage solutions in renewable energy integration. Six optimization algorithms—AGTO, ARO, BOA, CGO, PFA, and TSO—are evaluated for their efficacy in determining optimal system configurations.The system's adaptability to dynamic scenarios is examined through comprehensive sensitivity analyses, shedding light on its robustness. The findings reveal that the CGO algorithm outperforms others by achieving optimal solutions with fewer iterations, highlighting its efficiency. Key conclusions include the identification of an optimal configuration comprising a 589.58 kW PV system, 664 kW WT, a 675-kW supercapacitor, and a 1000 kWh battery bank. This … |
| Anahtar Kelimeler |
| Hybrid energy storage system | Hybrid renewable energy system | Optimization algorithms | Sensitivity Analysis | Supercapacitor | Sustainable energy |
| Atıf Sayıları | |
| Google Scholar | 202 |
| Scopus | 170 |
| Dergi Adı | ENERGY CONVERSION AND MANAGEMENT |
| Yayıncı | Elsevier Ltd |
| Açık Erişim | Hayır |
| ISSN | 0196-8904 |
| E-ISSN | 1879-2227 |
| CiteScore | 19,8 |
| SJR | 2,659 |
| SNIP | 2,261 |