Method for obtaining harmonic parameters on basis of clonal selection algorithm and improved fast S transformation

A cloning selection algorithm, a fast technology, applied in the field of obtaining harmonic parameters, based on the cloning selection algorithm and improved fast S-transform to obtain harmonic parameters, to achieve the effect of convenient operation, low cost of space and time consumption, and high accuracy

Inactive Publication Date: 2014-12-24
XI AN JIAOTONG UNIV
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Problems solved by technology

[0015] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art, and provide a method for obtaining harmonic parameters based on clone selection algorithm and improved fast S-transform, which can accurately o

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  • Method for obtaining harmonic parameters on basis of clonal selection algorithm and improved fast S transformation
  • Method for obtaining harmonic parameters on basis of clonal selection algorithm and improved fast S transformation
  • Method for obtaining harmonic parameters on basis of clonal selection algorithm and improved fast S transformation

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[0031] The present invention is described in further detail below in conjunction with accompanying drawing:

[0032] refer to figure 1 , the method for obtaining harmonic parameters based on clone selection algorithm and improved fast S transform of the present invention comprises the following steps:

[0033] 1) Improving the fast S-transformation of the signal to be tested to obtain the result matrix;

[0034] 2) Draw the amplitude-frequency curve and the phase-frequency curve according to the result matrix that step (1) obtains, and obtain the quantity of the harmonic component in the signal to be measured and the frequency, amplitude and phase of each harmonic component according to the result matrix;

[0035] 3) Utilize the linear characteristic of the improved fast S transform and adopt the linear decomposition method to decompose the result matrix, and obtain the improved fast S transform result matrix of each frequency component;

[0036] 4) Step 3) obtains the impro...

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Abstract

The invention discloses a method for obtaining harmonic parameters on the basis of a clonal selection algorithm and improved fast S transformation. The method comprises the following steps that signals are subjected to improved fast S transformation; the number, the frequency, the amplitude value and the phase parameter of harmonic ingredients in the tested signals can be obtained according to a result matrix of the improved fast S transformation; the result matrix of the improved fast S transformation is subjected to linear decomposition; the reverse fast S transformation is used for rebuilding a time domain waveform of each harmonic ingredient; the detected frequency value of each harmonic ingredient is modified; a time domain model of each harmonic ingredient in the tested signals is built according to the detection information; the detected amplitude value and the phase information of the harmonic ingredients are corrected by using the clonal selection algorithm. The clonal selection algorithm and the improved fast S transformation algorithm are adopted, the advantages of high detection precision, high convergence rate, high searching capability and the like are realized, and various parameters in the harmonic ingredients can be extracted from complicated distortion signals.

Description

technical field [0001] The invention belongs to the field of power systems and relates to a method for obtaining harmonic parameters, in particular to a method for obtaining harmonic parameters based on a clone selection algorithm and improved fast S transform. Background technique [0002] Harmonics are the main source of power quality problems. Accurate estimation of their parameters is an important part of the research on harmonic problems in power grids. It is an important basis for harmonic control, power flow calculations, and equipment status maintenance. Significance. [0003] The current harmonic analysis methods are: Fourier transform, short-time Fourier transform, wavelet transform, Hilbert-Huang transform, S transform. [0004] 1) Fourier transform [0005] FFT can effectively analyze the steady-state signal. However, FFT cannot realize the comprehensive analysis of harmonic time domain and frequency domain parameters, and cannot meet the detection requirement...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 丁忠安雷万钧袁露刘博
Owner XI AN JIAOTONG UNIV
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