Analysis of Power System Harmonic Subgroups of the Electric Arc Furnace Currents Based on a Hybrid Time-Frequency Analysis Method

Sezgin, Erhan; Salor, Özgül

doi:10.1109/tia.2019.2911568

Cited by 24 publications

(11 citation statements)

References 14 publications

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“…In solving optimization problems, it is necessary to define an objective function (J). In order to optimize the unknown parameters in the harmonic estimation problem, J defined as the difference between actual and estimated signal as seen in (6). Pseudo code of the proposed algorithm for harmonic estimation is given in TABLE 1.…”

Section: Exp( )mentioning

confidence: 99%

“…FFT is known as the most popular method in harmonic analysis of static signals in the literature. Many different methods such as wavelet transform, Hilbert Huang Transform (HHT) have been applied to harmonic estimation, because harmonic analysis with FFT yields erroneous results in non-stationary signals or when the signal frequency is not at nominal value that is 50 Hz or 60Hz [6]. The filters used in wavelet transform are not ideal and the modal mixing problems in HHT negatively affect the accuracy of harmonic estimation [6].…”

Section: Introductionmentioning

confidence: 99%

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Sine Cosine Algorithm Approaches for Directly Estimation of Power System Harmonics & Interharmonics Parameters

Altintasi

2021

IEEE Access

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In order to maintain the power quality, parameters of harmonic and sub-inter-harmonic components in the signal must be estimated accurately with less computational complexity. In power systems, the value of fundamental frequency changes between 49.5Hz and 50.5Hz and this situation causes the frequency of other harmonic components to change. In order to make efficient amplitude and phase estimation, initially, frequencies must be estimated properly. In this study, the Sine Cosine Algorithm is applied for the estimation of harmonics and sub-inter-harmonics parameters in the power systems. Unlike other optimization-based methods in the literature, it is assumed that the frequencies of the harmonic and sub-inter-harmonics component in the signal are not known. The proposed algorithm has been tested on synthetic signals at different noisy environment. Given the results obtained, SCA can predict the frequencies, amplitudes, and phases of harmonics and sub-inter-harmonics with less than 5% error, which is the maximum error limit specified by the standard, and proposed algorithm estimates the actual parameters with a low error rate even in noisy environments. In addition, SCA has a better convergence performance index than optimization algorithms used in studies in the literature assuming that frequency is known. Performance of the proposed algorithm is also tested on the data obtained from electrical transmission system. SCA estimates the frequencies of harmonics with almost no error, and the amplitude and phase estimation values of each harmonic are in corroboration with the results obtained by the DFT method.

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Section: Exp( )mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sine Cosine Algorithm Approaches for Directly Estimation of Power System Harmonics & Interharmonics Parameters

Altintasi

2021

IEEE Access

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“…To overcome these problems, various other non‐parametric methods have been proposed in the literature. Wavelet transform and Hilbert‐Huang transform are some of these methods [3–6], which all use the same window sizes as the DFT‐based methods. Note that, convergence‐time analysis is not reported in these works [4–6].…”

Section: Literature Survey Motivation and Contributionsmentioning

confidence: 99%

“…Wavelet transform and Hilbert‐Huang transform are some of these methods [3–6], which all use the same window sizes as the DFT‐based methods. Note that, convergence‐time analysis is not reported in these works [4–6]. Another non‐parametric method proposed in recent years is based on multiple synchronous reference frame (MSRF) analysis [7, 8].…”

Section: Literature Survey Motivation and Contributionsmentioning

confidence: 99%

Performance limits for the amplitude estimation of power system harmonics & interharmonics

Altintasi

Orguner

Salor

2020

IET Generation, Transmission & Distribution

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“…In the literature, various methods have been proposed for harmonic and interharmonic analyses of the power system [1–10]. Discrete Fourier transform (DFT) is the most widely used method for harmonic analysis due to its computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

Amplitude and phase estimations of power system harmonics using deep learning framework

Severoglu

Salor

2020

IET Generation, Transmission & Distribution

Self Cite

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Analysis of Power System Harmonic Subgroups of the Electric Arc Furnace Currents Based on a Hybrid Time-Frequency Analysis Method

Cited by 24 publications

References 14 publications

Sine Cosine Algorithm Approaches for Directly Estimation of Power System Harmonics & Interharmonics Parameters

Sine Cosine Algorithm Approaches for Directly Estimation of Power System Harmonics & Interharmonics Parameters

Performance limits for the amplitude estimation of power system harmonics & interharmonics

Amplitude and phase estimations of power system harmonics using deep learning framework

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