Harmonic Detection Technology Based on Improved Wavelet Threshold Denoising and CEEMDAN-HT Fusion

In view of the problem that the existence of environmental noise in power grid affects the accuracy of the harmonic detection of the adaptive noise, a harmonic detection technology based on improved wavelet threshold denoising and CEEMDAN-HT fusion is proposed. Firstly, the harmonic detection technology based on the modified factor t is proposed and the parameter optimization adaptive adjustment threshold and the improved wavelet threshold denoising method using the soft and hard characteristics of the adjustable parameter adjustment threshold function are used to preprocess the signal. obtain the wavelet coefficients after processing, reconstruct the signal, then decompose the reconstructed signal by CEEMDAN. and determine the correlation degree of a series of intrinsic mode functions (IMFs) to remove the false components, Then, the IMFs with harmonic characteristics are extracted by HT transform. The simulation results show that the improved wavelet threshold denoising can effectively overcome the mode aliasing phenomenon caused by the decomposition of CEEMDAN caused by the environmental noise of power grid, improve the accuracy of harmonic detection and have good noise resistance.