A Power Quality Disturbance Detection Method Based on Adaptive Fitting and Enhanced Wavelet Packet Noise Reduction Analysis
A technology of power quality disturbance and detection method, which is applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of power quality monitoring signals containing background noise, difficulty in classifying and identifying disturbances, and judging severity.
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[0027] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0028] Such as figure 1 As shown, the process of detecting the power quality disturbance signal is mainly divided into the following two steps:
[0029] In the first step, the power supply voltage signal with a sample length of L is collected from the monitoring terminal, and four new wavelets constructed based on data fitting and lifting algorithms in the present invention are selected to perform two-layer redundant lifting wavelet packet decomposition. Each node signal x to be decomposed i,j (i=1,2 is the current decomposition level; j=1,K,2 i-1 , x i,j is the j-th node signal of the i-th layer) After decomposing, four groups of high-frequency detail signals d can be obtained correspondingly i,j,k (k=1,2,3,4); for the four, obtain the normalized l respectively according to the formula P Norm ||P i,j,k || p for:
[0030]
[0031] T...
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