Yazarlar (2) |
![]() Kafkas Üniversitesi, Türkiye |
![]() Gazi Üniversitesi, Türkiye |
Özet |
In this paper, a Least Squares (LS) based harmonic and frequency estimation method is proposed to analyze power signals with rapidly changing characteristics in time such as Electric Arc Furnaces (EAFs). While Discrete Fourier Transform (DFT) provides fast and accurate solutions for stationary signals which are properly sampled, DFT based solutions become less accurate under frequency deviations or when the signal is sampled at low rates. This led to the development of a wide variety of methods in this field. This paper presents an approach that can accurately calculate the harmonic components of the signals, when the fundamental periods cannot be expressed as integer numbers due to the low sampling rate. Small deviations in the fundamental frequency cause the fundamental period to be fractional numbers in the neighborhood of the true value, therefore spectral leakages are inevitable in DFT-based methods. The proposed method provides LS-based estimates that optimizes the frequencies of signals whose fundamental period falls in this range. Then, amplitudes and phases of the harmonic components are calculated. The reliability of the proposed approach is proven with synthetically generated signals and the results are evaluated by running the method on field measurements collected at transformer substations supplying EAF plants. |
Anahtar Kelimeler |
Discrete Fourier Transform (DFT) | Electric Arc Furnace (EAF) | Frequency Analysis | Least Squares (LS) | Power System Harmonics | Spectral Leakage |
Bildiri Türü | Tebliğ/Bildiri |
Bildiri Alt Türü | Tam Metin Olarak Yayımlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
Bildiri Dili | İngilizce |
Kongre Adı | 2024 IEEE Industry Applications Society Annual Meeting (IAS) |
Kongre Tarihi | 20-10-2024 / 24-10-2024 |
Basıldığı Ülke | Amerika Birleşik Devletleri |
Basıldığı Şehir | Phoenix, Arizona |