基于同步挤压小波变换的抗混叠低频振荡模态参数识别

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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.

Key words： synchrosqueezing wavelet transform (SST) anti-aliasing low frequency oscillation instantaneous parameters damping ratio

Received: 16 March 2019 Published: 19 December 2019

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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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https://dqjs.cesmedia.cn/EN/Y2019/V20/I12/28

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