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

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...

AI Technical Summary

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 obtain various steady-state signals and unsteady-state signals Under the condition of harmonic parameters, and can quickly and accurately obtain the harmonic parameters of the signal to be tested under the condition of consuming less space and time cost

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