Multi-Objective Optimal Power Flow Using aModified Weighted Teaching-Learning BasedOptimization Algorithm
Yazarlar (1)
Dr. Öğr. Üyesi Salih ERMİŞ Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Electric Power Components and Systems (Q4) | ||
| Dergi ISSN | 1532-5008 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2023 |
| Cilt / Sayı / Sayfa | 51 / 20 / 2536–2556 | DOI | 10.1080/15325008.2023.2239237 |
| Makale Linki | https://www.tandfonline.com/doi/citedby/10.1080/15325008.2023.2239237?scroll=top&needAccess=true&role=tab | ||
| UAK Araştırma Alanları |
Elektrik Enerjisi ve Güç Sistemleri
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| Özet |
| The optimal power flow (OPF) problem is one of the most popular and important issues that researchers need to solve in power systems. In this study, a modified weighted teaching-learning-based optimization (WTLBO) algorithm was designed and implemented for the OPF problem, regarding the teaching-learning-based optimization (TLBO) algorithm, which is one of the meta-heuristic algorithms. To demonstrate the effectiveness of TLBO and developed WTLBO algorithms in OPF solutions, six different single/multi-objective functions consisting of targets, such as fuel cost, total active power losses, and voltage deviation were tested on standard IEEE 30 and 57 bus systems. Multi-objective functions were transformed into a single objective function using the weighted sum method. Analysis results were compared with different optimization algorithms used in the literature. When the developed WTLBO algorithm is … |
| Anahtar Kelimeler |
| algorithm | optimal power flow | optimization | power systems |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 8 |
| Scopus | 10 |
| Google Scholar | 16 |