Power harmonic and interharmonic detection method in renewable power based on Nuttall double-window all-phase FFT algorithm
Harmonics and interharmonics adversely affect power grids. The fast Fourier transform (FFT) algorithm is one of the most commonly used methods for harmonic analysis. However, in practical applications, the accuracy of harmonic analysis can be seriously affected by fence effect and spectral leakage,...
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| Veröffentlicht in: | IET renewable power generation Jg. 12; H. 8; S. 953 - 961 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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The Institution of Engineering and Technology
11.06.2018
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| ISSN: | 1752-1416, 1752-1424, 1752-1424 |
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| Abstract | Harmonics and interharmonics adversely affect power grids. The fast Fourier transform (FFT) algorithm is one of the most commonly used methods for harmonic analysis. However, in practical applications, the accuracy of harmonic analysis can be seriously affected by fence effect and spectral leakage, which are undesired characteristics inherent to discrete Fourier transforms. Moreover, when non-synchronous sampling is carried out, the phase measurement is not accurate enough, and there is a large error in the identification of interharmonics. In order to improve the measurement precision, the method of all-phase spectrum analysis is used, since it has the characteristics of phase invariance and good spectral leakage suppression. A novel method based on improved Nuttall double-window all-phase FFT is proposed by improving the window function and the spectrum correction method for achieving higher precision. Through simulation and experimental verification, the proposed algorithm has proven to perform better than the traditional algorithms both for the detection of harmonics and interharmonics. In addition, the computation burden is not considerably increased when compared to such algorithms, which allows the on-line use of the proposed algorithm. |
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| AbstractList | Harmonics and interharmonics adversely affect power grids. The fast Fourier transform (FFT) algorithm is one of the most commonly used methods for harmonic analysis. However, in practical applications, the accuracy of harmonic analysis can be seriously affected by fence effect and spectral leakage, which are undesired characteristics inherent to discrete Fourier transforms. Moreover, when non‐synchronous sampling is carried out, the phase measurement is not accurate enough, and there is a large error in the identification of interharmonics. In order to improve the measurement precision, the method of all‐phase spectrum analysis is used, since it has the characteristics of phase invariance and good spectral leakage suppression. A novel method based on improved Nuttall double‐window all‐phase FFT is proposed by improving the window function and the spectrum correction method for achieving higher precision. Through simulation and experimental verification, the proposed algorithm has proven to perform better than the traditional algorithms both for the detection of harmonics and interharmonics. In addition, the computation burden is not considerably increased when compared to such algorithms, which allows the on‐line use of the proposed algorithm. |
| Author | Yang, Mingfa Jin, Tao Su, Taixin Flesch, Rodolfo César Costa |
| Author_xml | – sequence: 1 givenname: Taixin surname: Su fullname: Su, Taixin organization: 1Department of Electrical Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China – sequence: 2 givenname: Mingfa surname: Yang fullname: Yang, Mingfa organization: 1Department of Electrical Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China – sequence: 3 givenname: Tao surname: Jin fullname: Jin, Tao email: jintly@fzu.edu.cn organization: 1Department of Electrical Engineering, Fuzhou University, Fuzhou 350116, People's Republic of China – sequence: 4 givenname: Rodolfo César Costa surname: Flesch fullname: Flesch, Rodolfo César Costa organization: 2Department of Automation and Systems, Federal University of Santa Catarina, 88040-900, Florianópolis, SC, Brazil |
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| Keywords | power system harmonics fast Fourier transforms discrete Fourier transforms nonsynchronous sampling spectral leakage suppression phase invariance characteristics phase measurement spectral analysis power interharmonic detection method fence effect harmonic analysis measurement precision all-phase spectrum analysis renewable power interharmonic identification power harmonic detection method signal sampling window function fast Fourier transform algorithm Nuttall double-window all-phase FFT algorithm power grids spectrum correction method |
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Instrum. – start-page: 284 year: 2007 end-page: 287 – volume: 11 start-page: 16 issue: 1 year: 2014 end-page: 26 article-title: Harmonic estimation using symmetrical interpolation FFT based on triangular self‐convolution window publication-title: IEEE Trans. Ind. Inf. – volume: 126 start-page: 356 issue: 3 year: 2015 end-page: 360 article-title: Self‐mixing interferometry based on all phase FFT for high‐precision displacement measurement publication-title: Optik – volume: 61 start-page: 3857 issue: 8 year: 2014 end-page: 3866 article-title: Application of artificial neural networks for shunt APF control publication-title: IEEE Trans. Ind. Informat. – volume: 7 start-page: 1388 issue: 4 year: 2016 end-page: 1397 article-title: Harmonic stability assessment for multiparalleled, grid‐connected inverters publication-title: IEEE Trans. Sustain. Energy – volume: 26 start-page: 2570 issue: 9 year: 2011 end-page: 2579 article-title: Simple interpolated FFT algorithm based on minimize sidelobe windows for power‐harmonic analysis publication-title: IEEE Trans. Power Electron. – volume: 28 start-page: 153 issue: 25 year: 2008 end-page: 158 article-title: An approach for electrical harmonic analysis based on Nuttall window double‐spectrum‐line interpolation FFT publication-title: Proc. CSEE – volume: 16 start-page: 160 issue: 2 year: 2001 end-page: 164 article-title: The algorithm of interpolating windowed FFT for harmonic analysis of electric power system publication-title: IEEE Trans. Power Deliv. – volume: 62 start-page: 942 issue: 5 year: 2013 end-page: 953 article-title: Accuracy analysis of the multicycle synchrophasor estimator provided by the interpolated DFT algorithm publication-title: IEEE Trans. Instrum. Meas. – volume: 2 start-page: 51 issue: 1 year: 2011 end-page: 59 article-title: Harmonic phasor analysis based on improved FFT algorithm publication-title: IEEE Trans. Smart Grid – volume: 30 start-page: 2635 issue: 5 year: 2015 end-page: 2644 article-title: Reliability oriented design tool for the new generation of grid connected PV‐inverters publication-title: IEEE Trans. Power Electron. – volume: 30 start-page: 3912 issue: 7 year: 2015 end-page: 3924 article-title: Frequency adaptive selective harmonic control for grid‐connected inverters publication-title: IEEE Trans. Power Electron. – volume: 60 start-page: 1001 issue: 3 year: 2013 end-page: 1010 article-title: Spectral correction approach based on desirable sidelobe window for harmonic analysis of industrial power system publication-title: IEEE Trans. Ind. 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| Snippet | Harmonics and interharmonics adversely affect power grids. The fast Fourier transform (FFT) algorithm is one of the most commonly used methods for harmonic... |
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| SubjectTerms | all‐phase spectrum analysis discrete Fourier transforms fast Fourier transform algorithm fast Fourier transforms fence effect harmonic analysis interharmonic identification measurement precision nonsynchronous sampling Nuttall double‐window all‐phase FFT algorithm phase invariance characteristics phase measurement power grids power harmonic detection method power interharmonic detection method power system harmonics renewable power Research Article signal sampling spectral analysis spectral leakage suppression spectrum correction method window function |
| Title | Power harmonic and interharmonic detection method in renewable power based on Nuttall double-window all-phase FFT algorithm |
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