DocumentCode :
3094846
Title :
Power quality harmonic detection based on Fast-ICA
Author :
Xixi, Ran ; Qun, Zhou
Author_Institution :
Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
Volume :
3
fYear :
2011
fDate :
8-9 Sept. 2011
Firstpage :
26
Lastpage :
29
Abstract :
The main methods of power quality´s harmonics detection are based on instantaneous reactive power theory, FFT and wavelet transform. A method of detecting power quality´s harmonics based on ICA is proposed. First, independent component analysis method is introduced briefly, then using the Fast - ICA algorithm and negative entropy great independence standards to implement the estimations of harmonics signal, obtain base wave signal and every harmonic signal. The simulation results show that this method can accurately detect every harmonic composition of the multiple harmonics and it is not sensitive to noise. So it is suitable to the detection of power quality´s harmonics.
Keywords :
fast Fourier transforms; independent component analysis; power supply quality; reactive power; wavelet transforms; FFT; fast-ICA; harmonic composition; harmonics signal; independent component analysis; instantaneous reactive power theory; negative entropy; power quality harmonic detection; wave signal; wavelet transform; Analytical models; Entropy; Harmonic analysis; Independent component analysis; Power quality; Power system harmonics; Fast-ICA; Independent Component Analysis; harmonic detection; negative entropy; power quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
Type :
conf
DOI :
10.1109/PEAM.2011.6135007
Filename :
6135007
Link To Document :
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