Detection method of transient harmonic signals of power system based on combination of Tsallis wavelet singular entropy and FFT computation

A harmonic signal and power system technology, 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, strong practicability, and accuracy. Extracted effects

Inactive Publication Date: 2010-03-17
HARBIN INST OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the frequency and power information of the transient harmonic signal cannot be extracted in the current detection method of the trans

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  • Detection method of transient harmonic signals of power system based on combination of Tsallis wavelet singular entropy and FFT computation
  • Detection method of transient harmonic signals of power system based on combination of Tsallis wavelet singular entropy and FFT computation
  • Detection method of transient harmonic signals of power system based on combination of Tsallis wavelet singular entropy and FFT computation

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specific Embodiment approach 1

[0022] 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:

[0023] 1. Collect the grid current signal in the power system, and convert the current signal into a 12-bit digital signal;

[0024] 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;

[0025] 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

[0030] 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:

[0031] 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:

[0032] W(m, w, δ) = {d(g, k), g=1, 2, ..., L, k = 1+mδ, ......

specific Embodiment approach 3

[0041] 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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Abstract

The invention relates to a detection method of transient harmonic signals of a power system based on the combination of Tsallis wavelet singular entropy and FFT computation, which can solve the problem that the prior art can not extract the frequency and the power information of the transient harmonic signals of the power system. The detection method comprises the following steps: carrying out theFFT computation on current signals, determining the sampling frequency and the decomposition scale of the mallat algorithm computation according to the result, carrying out the mallat algorithm computation on the current signals, carrying out the Tsallis wavelet singular entropy computation on wavelet coefficients with abnormal singularity degree or single-branch wavelet reconstruction signals, obtaining the occurrence time and the continuous time of the transient harmonic signals, further carrying out the time segmentation on all the wavelet coefficients of the wavelet scales with the frequency of higher than 650Hz or the single-branch wavelet reconstruction signals, carrying out the FFT computation analysis on the wavelet coefficients or the single-branch wavelet reconstruction signalsin all the time periods, and finally obtaining the frequency and the power information of the transient harmonic signals in all the time periods. The detection method overcomes the deficiencies in theprior art and can be used for detecting the transient harmonic signals of the power system.

Description

technical field [0001] The invention relates to a detection method for a transient harmonic signal of a power system. Background technique [0002] For the power system grid, the harmonic signal is a kind of harmful pollution signal. It can cause additional loss and heat increase of rotating equipment and transformers, and can also cause rotating equipment and transformers to vibrate and emit noise. Long-term vibration will cause Metal fatigue and mechanical damage; the main harm of harmonic signals to the line is to cause additional loss; harmonic signals can cause the inductance and capacitance of the system to resonate, and amplify the transient harmonic signals, resulting in an increase in voltage and current. Cause relay protection and safety automatic devices to malfunction, damage system equipment, cause system accidents, and threaten the safe operation of the power system; in addition, harmonic signals can also interfere with communication equipment, increase power l...

Claims

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Application Information

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IPC IPC(8): G01R23/16G06F17/14
Inventor 陈继开李浩昱杨世彦寇宝泉
Owner HARBIN INST OF TECH
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