A Novel Parameter Identification Method for Single Phase Transformers by Using Real Time Data
Yazarlar (3)
Dr. Öğr. Üyesi Hasan DİRİK Sinop Üniversitesi, Türkiye
Cenk Gezegin Amasya Üniversitesi, Türkiye
Dr. Öğr. Üyesi Muammer Özdemir Ondokuz Mayıs Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | IEEE Transactions on Power Delivery (Q2) | ||
| Dergi ISSN | 0885-8977 Dergi Bilgileri (2014) | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2014 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-06-2014 |
| Cilt / Sayı / Sayfa | 29 / 3 / 1074–1082 | DOI | 10.1109/TPWRD.2013.2284243 |
| Makale Linki | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6644319 | ||
| UAK Araştırma Alanları |
Elektrik-Elektronik ve Haberleşme Mühendisliği
|
||
| Özet |
| Equivalent circuit parameters of transformers are related to the condition of their windings. Information concerning winding deformations, failures, and temperature can be acquired by monitoring these parameters. Methods used for the determination of electrical parameters generally require disconnection of the transformer from the power system. In this paper, a novel method which uses real-time data of the transformer to determine its parameters is presented. Therefore, this method eliminates the need for the disconnection of the transformer from the power system. In the method, winding parameters are obtained by applying the differential equation algorithm to the fundamental frequency components of transformer data. Fundamental frequency components of the currents and voltages are computed by using the discrete cosine transform. Transformer core parameters are also computed via core losses and the … |
| Anahtar Kelimeler |
| Differential equation algorithm | discrete cosine transform (DCT) | least squares error method (LSEM) | nonlinear inductance | parameter identification | transformer |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 23 |
| Scopus | 29 |
| Google Scholar | 36 |