Method of Wavelet Denoising in Harmonic Detection

Autor: Guang Yang, Yong Yang, Ying Li Cao
Rok vydání: 2012
Předmět:
Zdroj: Advanced Materials Research. :6103-6107
ISSN: 1662-8985
Popis: Harmonic detection is an important step in grid harmonic status evolution and suppression measures implementation. While it’s accuracy is interference to the noise in the power grid. The different characteristics of signal and noise in the wavelet transform are proposed firstly, and the method of soft threshold de-noising based on wavelet multiresolution is analyzed in the paper. Using the method, the noisy harmonic signals in the power grid are processed and the de-noisy signals are analyzed by Fourier Transformation (FT) to obtain the contents of each harmonics. The simulation results show that the harmonic containing rate is close to the original signals after de-noising by WT. That is the method reduces the interference of noise and the accuracy of harmonic detection is improved.
Databáze: OpenAIRE