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| Identification of anti-aliasing modal parameters for low frequency oscillations based on synchrosqueezing wavelet transform |
| Xie Jiaan |
| Foshan Power Supply Bureau of Guangdong Power Grid Co., Ltd, Foshan, Guangdong 528000 |
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Abstract In order to solve the problem of incorrect analysis results caused by the aliasing of adjacent frequency components when the empirical mode decomposition (EMD) is used to extract the modes of low frequency oscillation signal (LFO), a novel method based on synchrosqueezing wavelet transform (SST) is introduced to extract the anti-aliasing model parameters of LFO. It applies SST to extract a set of intrinsic mode components without frequency aliasing in LFO signal and calculates the instantaneous parameters including magnitude, frequency and phase of every model function with Hilbert transformation (HT), and then calculates the damping ratio of every model function based on the parameters above and the formulas derived. Thus it realizes effective extraction of all parameters of LFO signal. This method can be adopted to analyze strong non-linear oscillation models in power systems and design damping controllers. The simulation and example analysis results indicate the feasibility and validity of the new method proposed in this paper.
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Received: 16 March 2019
Published: 19 December 2019
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| Cite this article: |
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Xie Jiaan. Identification of anti-aliasing modal parameters for low frequency oscillations based on synchrosqueezing wavelet transform[J]. Electrical Engineering, 2019, 20(12): 28-34.
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http://dqjs.cesmedia.cn/EN/Y2019/V20/I12/28
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2019, Vol. 20 
