DocumentCode :
3408820
Title :
Detection of Dynamic Power Quality Disturbance Based on Lifting Wavelet
Author :
Zhou, Jian-Ping ; Wang, Zhi-Ping
Author_Institution :
Sch. of Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
Volume :
2
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
93
Lastpage :
95
Abstract :
Lifting wavelet is a useful method to analyze the abrupt signal because lifting wavelet can simultaneously show the local characteristic of time domain signal and frequency domain signal. The dynamic power quality disturbance in modern power supply can usually engender the fault signal such as voltage sag, voltage swell and voltage interruption. Lifting wavelet and Fourier transform are used respectively to detect these three fault signals of dynamic power quality disturbance. The simulation results show that lifting wavelet can accurately and effectively detect the singularity of fault signals, but Fourier transform fails to detect these fault signals. Lifting wavelet is a very good tool to detect the singularity of dynamic power quality disturbance.
Keywords :
Fourier transforms; frequency-domain analysis; power supply quality; time-domain analysis; wavelet transforms; Fourier transform; dynamic power quality disturbance detection; frequency domain signal; lifting wavelet; time domain signal; voltage interruption; voltage sag; voltage swell; Fourier transforms; Power quality; Power system dynamics; Voltage fluctuations; Wavelet analysis; Wavelet transforms; detect; dynamic power quality disturbance; lifting wavelet; voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.142
Filename :
5656163
Link To Document :
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