2009
DOI: 10.1016/j.measurement.2008.04.013
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Comparison of frequency estimation algorithms for power quality assessment

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Cited by 32 publications
(17 citation statements)
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References 13 publications
(23 reference statements)
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“…Hybrid method enables jointly harmonics and transients analysis. Many frequency estimation techniques and spectral estimation of interharmonics have been proposed in [38,39] respectively. In [24], authors discussed the analysis of voltage disturbance recordings in the time-frequency domain and in the time-scale domain.…”
Section: Fourier Transform Based Methodsmentioning
confidence: 99%
“…Hybrid method enables jointly harmonics and transients analysis. Many frequency estimation techniques and spectral estimation of interharmonics have been proposed in [38,39] respectively. In [24], authors discussed the analysis of voltage disturbance recordings in the time-frequency domain and in the time-scale domain.…”
Section: Fourier Transform Based Methodsmentioning
confidence: 99%
“…Moreover, NRLS2 has in most cases better performance compared with the ip-DFT and the Park's method. These two algorithms represent in the literature the best compromise between accuracy and computational demand [6,7,9].…”
Section: Execution Times Comparisonmentioning
confidence: 99%
“…In [6] a comparison of different algorithms shows as the interpolation of DFT spectrum in the neighborhood of the fundamental tone is a good compromise between accuracy and computational complexity. It can be found several approaches based on the method of least squares.…”
Section: Introductionmentioning
confidence: 99%
“…In the past several decades, a variety of algorithms [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] for frequency estimation have been reported. Generally, the performance of a frequency estimation algorithm can be evaluated through static and dynamic tests.…”
Section: Introductionmentioning
confidence: 99%
“…Other algorithms, such as the modified LMS algorithm [23], the least mean phase (LMP) algorithm [24] and the multi-harmonic least-squares fitting algorithm [25] are also reported. Reference [26] presents reviews of the existing several methods, outlining strengths and weaknesses of each one.…”
Section: Introductionmentioning
confidence: 99%