Transient power quality disturbance detection method based on WMM and HATF
A technology of transient power quality and detection methods, applied in the direction of measuring electric variables, measuring electricity, measuring devices, etc., can solve the randomness uncertainty of transient disturbance signals, affect power system power quality, transient power quality problems, etc. problem, achieve good detection effect, good real-time performance, and simple algorithm
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[0067] The transient power quality disturbance detection method based on WMM and HATF includes the following steps:
[0068] Step 1: Sampling 100 points per period of the disturbance signal, that is, setting the sampling frequency to 5kHz, to obtain the sampling sequence s(t);
[0069] Step 2: Start denoising the sampling sequence s(t), and select a suitable wavelet base. Because of its good similarity and symmetry, the Sym4 wavelet is chosen as the wavelet basis function.
[0070] Then Sym4 can be used as a basic wavelet function. Scaling and translating it yields a wavelet sequence:
[0071]
[0072] In the formula, Sym(t) is the basic wavelet function, Sym α,β (t) is the stretched and translated wavelet function, and α and β are scale factor and stretch factor respectively. For any signal Sym(t)∈L in the time domain 2 (R), the wavelet transform can be expressed as:
[0073]
[0074] Step 3: By obtaining the minimum frequency f of the sampling sequence s(t) min ...
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