Analysis of Power System Harmonic Subgroups of the Electric Arc Furnace Currents Based on a Hybrid Time-Frequency Analysis Method
Yazarlar (2)
Dr. Öğr. Üyesi Erhan SEZGİN Kafkas Üniversitesi, Türkiye
Özgül Salor
Gazi Üniversitesi, Türkiye
Gazi Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (Q1) | ||
| Dergi ISSN | 0093-9994 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2019 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-09-2018 |
| Cilt / Sayı / Sayfa | 55 / 1 / 4398–4406 | DOI | 10.1109/IAS.2018.8544595 |
| Makale Linki | https://ieeexplore.ieee.org/document/8692649/ | ||
| UAK Araştırma Alanları |
İşaret İşleme
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| Özet |
| In this paper, a hybrid time-frequency analysis method, specially developed to decompose harmonic subgroups and interharmonics of the electric arc furnace (EAF) currents, which are highly time varying due to the operation principles of the EAFs, is presented. The main objective is accurate perception of harmonics and interharmonics in cases of rapid changes or power quality (PQ) events in power system voltages and currents. Harmonic and interharmonics detection has been achieved using discrete wavelet transform (DWT), which provides time-localization in cases of highly time-varying signals. Although DWT elicits accurate spectral decomposition at low frequencies, and especially at the baseband, bandwidths of the band-pass filters increase which results in loss of accuracy at higher frequencies. In order to avoid this problem, power signals are modulated by complex exponential waveforms, which … |
| Anahtar Kelimeler |
| Complex Exponential Modulation | Discrete Wavelet Transform | Electric Arc Furnace (EAF) | Frequency Shifting | Interharmonics | Power System Harmonics | Wavelets |
