Novel approach to interharmonics analysis based on adaptive optimal kernel time-frequency distribution

被引:0
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作者
Zhang, Yu-Hui [1 ]
Jin, Guo-Bin [1 ]
Li, Tian-Yun [1 ]
机构
[1] Electrical Engineering Institute, Northeast China Dianli University, Jilin 132012, China
关键词
Bandwidth - Computer simulation - Electric power systems - Fast Fourier transforms - Wavelet transforms;
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摘要
Interharmonics is a kind of harmonics signal which is not an integer of the fundamental frequency component. It is harmful to power system, so it is important to analyze interharmonics accurately. A novel approach to interharmonics analysis based on adapt Interharmonics is a kind of harmonics signal which is not an integer of the fundamental frequency component. It is harmful to power system, so it is important to analyze interharmonics accurately. A novel approach to interharmonics analysis based on adaptive optimal kernel time-frequency representation (AOK TFR) is presented. AOK TFR is a time-frequency analysis theory that can analyze unstabilized signal by nonlinear transformation on modern signal processing. Adaptive optimal Gauss kernel is applied to restrain cross-components in ambiguity domain and then two dimensions FFT is done. Thus auto-components' time-frequency distribution is obtained. A kind of signal is analyzed with this method, which is multi-component, time-varied and interharmonics contained. Better time-frequency resolution, adaptiveness and anti-noise abilities are represented and this method is independent on multi-components. Its time-bandwidth product almost can meet lower limit of Heisen-berg theory. Its validity has been shown by simulation results. ive optimal kernel time-frequency representation (AOK TFR) is presented. AOK TFR is a time-frequency analysis theory that can analyze unstabilized signal by nonlinear transformation on modern signal processing. Adaptive optimal Gauss kernel is applied to restrain cross-components in ambiguity domain and then two dimensions FFT is done. Thus auto-components' time-frequency distribution is obtained. A kind of signal is analyzed with this method, which is multi-component, time-varied and interharmonics contained. Better time-frequency resolution, adaptiveness and anti-noise abilities are represented and this method is independent on multi-components. Its time-bandwidth product almost can meet lower limit of Heisen-berg theory. Its validity has been shown by simulation results.
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页码:84 / 89
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