Detection method of transient harmonic signals of power system based on combination of Tsallis wavelet singular entropy and FFT computation
A technology for harmonic signals and power systems, which is applied in the field of detection of transient harmonic signals in power systems, can solve the problem of inability to extract the frequency and power information of transient harmonic signals, and achieves improved computing speed, small computing amount, and practicality. strong effect
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specific Embodiment approach 1
[0039] Specific embodiment one: a kind of detection method based on the power system transient harmonic signal of Tsallis wavelet singular entropy and FFT operation combination of this specific embodiment, its specific process is as follows:
[0040] 1. Collect the grid current signal in the power system, and convert the current signal into a 12-bit digital signal;
[0041] 2. Carry out FFT operation to the obtained 12-bit digital signal, select the sampling frequency and decomposition scale of mallat algorithm operation according to the result of FFT operation;
[0042] 3. Perform mallat algorithm operation on the 12-bit digital signal, so that the different frequency components of the 12-bit digital signal are correspondingly distributed in different wavelet scales, and then perform wavelet coefficients or single wavelets of each wavelet scale with a frequency higher than 650 Hz The reconstructed signal is evaluated for feature information, and the specific process of featur...
specific Embodiment approach 2
[0047] Embodiment 2: This embodiment is a further description of the detection method of the power system transient harmonic signal based on the combination of Tsallis wavelet singular entropy and FFT operation in Embodiment 1. The singularity described in step 32 The specific algorithm of Tsallis wavelet singular entropy operation is as follows:
[0048] The discrete wavelet coefficients or single wavelet reconstruction signal matrix is D={d(g, k), g=1, 2,..., L, k=1, 2,..., N}, where, d(g , k) is the kth discrete wavelet coefficient or single-branch wavelet reconstruction signal of the g-th scale, k is the element position variable in the discrete wavelet coefficient or single-branch wavelet reconstruction signal matrix, and N is the data length; A sliding data window is defined on the wavelet reconstruction signal, the window width is w∈N, and the sliding factor is δ∈N. The sliding data window is expressed as:
[0049] W(m, w, δ)={d(g, k), g=1, 2,..., L, k=1+nδ,..., w+mδ...
specific Embodiment approach 3
[0058] Specific embodiment three: this specific embodiment is a further description of the detection method of the power system transient harmonic signal based on the combination of Tsallis wavelet singular entropy and FFT operation in the second specific embodiment, the non-extensive parameter q The selection range of is: [0.05, 0.2].
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