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将一种新的非平稳信号处理方法--基于经验模态分解(EMD)的希尔伯特(Hilbert)变换方法,应用于电力系统暂态信号分析中。通过EMD方法提取信号的固有模态函数(IMF),再进行Hilbert变换,求瞬时频率、瞬时振幅,得到信号的Hilbert谱,进而得到Hilbert边际谱,对故障暂态和扰动信号进行了分析。通过瞬时频率进行故障暂态和扰动时刻的准确检测;通过Hilbert边际谱与傅里叶幅值谱的比较,表明Hilbert边际谱在分辨率上具有明显的优越性。该方法为电力系统暂态信号分析提供了一种新的分析手段。仿真结果验证了该方法的有效性。
A new non-stationary signal processing method, Hilbert transform based on Empirical Mode Decomposition (EMD), is applied in transient signal analysis of power system. The intrinsic mode function (IMF) of the signal is extracted by the EMD method, and then the Hilbert transform is used to obtain the instantaneous frequency and the instantaneous amplitude. The Hilbert spectrum of the signal is obtained, and the Hilbert marginal spectrum is obtained, and the fault transient and disturbance signals are analyzed. The instantaneous frequency is used to detect fault transient and perturbation moment precisely. The comparison between Hilbert marginal spectrum and Fourier amplitude spectrum shows that Hilbert marginal spectrum has obvious superiority in resolution. This method provides a new analytical method for power system transient signal analysis. Simulation results verify the effectiveness of this method.