Transient-oscillation-parameter identification method based on morphological filtering and blind source separation

Abstract

The invention discloses a transient-oscillation-parameter identification method based on morphological filtering and blind source separation. The method includes the steps of: 1) generating a transient-oscillation power quality disturbance signal y<o>, and adding noise; 2) using a morphological operator and a median filter to filter the signal; 3) adding a normal signal of the same length, the same sampling frequency and the same phase as the disturbance signal to form an input matrix X; 4) carrying out blind source separation on the input matrix to obtain a disturbance component y<1>; 5) using Fourier transform on the disturbance component to identify oscillation frequency f<o>; and 6) for the disturbance component, using a curve y=ae<bt> to fit extreme values of each cycle of an oscillation interval, and obtaining an attenuation coefficient [sigma]<o> by solving. The method has the advantages of an accurate recognition result, good robustness and the like, and can accurately identifytransient-oscillation parameters in various cases.

Description

technical field [0001] The invention relates to the field of power quality signal identification, in particular to a transient oscillation parameter identification method based on morphological filtering and blind source separation. Background technique [0002] With the further development of my country's power grid, more and more nonlinear components are involved, DC lines are connected to the grid, and photovoltaic and wind power are involved, the problem of power quality is becoming more and more serious. Transient oscillation is a typical transient power quality disturbance problem, which refers to the sudden change phenomenon of non-power frequency and positive and negative polarity of voltage and current under steady state conditions. The reason for this is due to the switching of lines, loads, power electronic devices, and capacitor banks. The consequence is that it may cause damage to electronic equipment and damage the insulation of operating equipment, thereby aff...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and propose a transient oscillation parameter identification method based on morphological filtering and blind source separation, which can also identify transient oscillation parameters in the presence of noise interference , which has the advantages of good robustness, high accuracy and fast calculation speed

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