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《Power System Technology》 2005-06
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DETECTION OF SHORT DURATION VOLTAGE VARIATION SIGNAL BASED ON DOUBLE WAVELET

SHI Min,WU Zheng-guo,YIN Wei-min (Dept.of Electrical Engineering,Naval University of Engineering,Wuhan 430033,Hubei Province,China)  
A method based on db1 and db10 wavelet to detect short duration voltage variation (SDVV) signal was proposed. At first the signal was decomposed by db1 wavelet and low frequency coefficient modules of the decomposed signal were obtained, on this basis probable time intervals of any SDVV events could be determined and the beginning and end points of each time interval were recorded simultaneously. Then the signal was decomposed by db10 wavelet to obtain the first layer high-frequency decomposition coefficients, and within half sampling periods before and after the beginning and end points of each time interval determined by db1 wavelet the module maximum value of first layer high-frequency decomposition coefficients was detected to determine the non-zero-cross points and the beginning and end points of the wave crest. According to the concrete assessment rule the accurate beginning and end moment of voltage variation would be determined, in addition the amplitude of the voltage variation would be determined by above-mentioned low frequency coefficient module. The results from tests and simulation show that the proposed method is feasible and effective.
【CateGory Index】: TM933
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