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