Post-wavelet analysis treating method and device for electric power transient signal

Abstract

The present invention discloses post-wavelet analysis treating method and device for electric power transient signal. The treating method for electric power transient signal after wavelet analysis and before feeding to the electric power monitoring center includes the following treatment on wavelet coefficient: the extraction of module maximum and the detection of irregularity; the statistics and cluster analysis of wavelet coefficient; neural network classification; energy analysis; and wavelet entropy calculation. The present invention can extract the characteristic of electric power transient signal for the application in traveling wave ranging, fault recognition, electric energy quality analysis and equipment fault diagnosis in the transmission line of power system.

Description

technical field [0001] The invention relates to a wavelet analysis post-processing method and device for power transient signals. Background technique [0002] In power systems, transient signals can be generated due to faults, adverse power change events, or normal operation of power electronic switching devices. In order to grasp the characteristics of possible transient signals, their impact and hazards on the power system, and early diagnosis and prediction of the operation or failure of the power grid, transmission lines, and large-scale power equipment, carry out condition-based maintenance of power grids and power equipment, etc. , long-term monitoring of power transient signals is required, and the detected and recorded signals are processed and identified to provide users or power companies with an understanding of the power transients that occur; at the same time, large-scale electrical tests, such as high-voltage power equipment, Line switching, etc., also need t...

AI Technical Summary

Problems solved by technology

[0004] Wavelet transform can detect the transient state, but there are many coefficients after transformation. If they are all used as features, the performance of the classifier will be seriously reduced, and it is not suitable for real-time applications. Dimensionality reduction is required; It is also quite difficult to perform feature extraction or classification of signal components. From these two aspects alone, the wavelet transform post-processing method of transient signals is necessary

However, there is still no complete and systematic analysis and processing method and its special devices. The existing wavelet analysis instruments lack post-processing analysis and have single functions, so they cannot be directly used in power system transient analysis.

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