Enhanced Frequency and Harmonic Estimation for Electric Arc Furnace Measurements: A Least Squares Approach to Mitigate Spectral Leakage
Yazarlar (2)
Dr. Öğr. Üyesi Erhan SEZGİN Kafkas Üniversitesi, Türkiye
Özgül Salor
Kyrgyz-Turkish Manas University, Kırgızistan
Bildiri Türü Tebliğ/Bildiri Bildiri Dili İngilizce
Bildiri Alt Türü Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Alanında Hakemli Uluslararası Kongre/Sempozyum
DOI Numarası 10.1109/IAS55788.2024.11023682
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
Bildiri Linki https://doi.org/10.1109/ias55788.2024.11023682
UAK Araştırma Alanları
İşaret İşleme
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) as an alternative to the classical Discrete Fourier Transform (DFT)-based methods. Although DFT based harmonic analysis methods provide fast and accurate solutions for stationary signals, solutions become less accurate under frequency deviations especially when the signal is sampled at low rates. This paper presents an approach which 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. One of the outstanding parts of the proposed approach is that, it is possible to increase the performance of harmonic and interharmonic estimation by increasing the performance of frequency estimation with …
Anahtar Kelimeler
Discrete Fourier Transform (DFT) | Electric Arc Furnace (EAF) | Frequency Analysis | Least Squares (LS) | Power System Harmonics | Spectral Leakage