Application of ICEEMDAN-Wavelet Thresholding Method in Harmonic Signals
In order to conveniently detect power system harmonic signals in noisy environments,a new method for power system harmonic signal detection based on improved complete ensemble empirical mode decomposition with adaptive noise(ICEEM-DAN)with wavelet threshold noise reduction was introduced.Firstly,the noisy harmonic signal was decomposed by ICEEM-DAN to obtain several intrinsic mode components(IMFs),and the noisy mode components were determined by calculating,the correlation coefficients between each IMF and the original harmonic signals.Then,the modified wavelet threshold function was used to de-noise the noisy components,and the amplitude-frequency information of the harmonic signal was obtained by Hilbert transform(HT).Finally the denoised IMFs and the dominant IMFs were reconstructed to obtain the denoised signals.Example analysis shows that the combination of ICEEMDAN and the improved wavelet threshold method has an average error of 3.11％on Steady-state harmonics in power systems and 3.64％on transient harmonics,the signal-to-noise ratio has been improved,and the denoised signals are able to realistically reflect the characteristics of the harmonic signals of the power system.
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