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Detection of Dynamic Power Quality Disturbance Based on Lifting Wavelet

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2 Author(s)
Jian-ping Zhou ; Sch. of Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China ; Zhi-ping Wang

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.

Published in:

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on  (Volume:2 )

Date of Conference:

23-24 Oct. 2010