Transmission line malfunction locating method based on compressed sensing

Abstract

The invention discloses a transmission line malfunction locating method based on compressed sensing. The method is characterized in that aiming at the problems of low precision and the like existing in an existing transmission line malfunction signal processing method, compressed sensing (CS) is applied to fault locating. The method mainly comprises the steps that a complete dictionary is set up; fault signal data is extracted, and a wavelet modulus maximum method is combined with FIR filtering for preprocessing; a Fast-DOMP algorithm is provided for analyzing frequency domain signals of fault travelling waves; based on the information, multiple times of natural frequency values of the travelling waves are estimated through compressed sensing, and the transmission line malfunction locating method is provided for analyzing different fault conditions of a transmission line. The method is scientific and reasonable, and has the advantages of being high in locating precision, high in application and popularization value, good in effect and the like.

Description

technical field [0001] The invention relates to the technical field of power transmission, and relates to a transmission line fault location method based on compressed sensing. Background technique [0002] The power industry is the basic driving force for the development of the national economy, and a reliable power supply will also be the prerequisite for the stable development of today's society. Transmission line faults are the link with the most faults in the power system. After a line fault, if the location of the fault point can be found out in a timely, accurate and reliable manner, it will play a very important role in the economic operation of the entire country and the safety and stability of the entire power system. Therefore, the research on transmission line fault location has always been a hot spot in the power industry, especially the research on fast and accurate fault location methods is of great significance. For this reason, scholars have proposed many ...

AI Technical Summary

Problems solved by technology

The MP algorithm uses the inner product to reflect the similarity between the atom and the signal to be processed, but this method cannot effectively distinguish two atoms in a dictionary with a high correlation between atoms, which affects the selection of the optimal matching atom

Moreover, the above method only relies on extracting a single main natural frequency value when determining the natural frequency value, but this value is greatly affected by factors such as noise, line discontinuity, harmonic interference, etc., thus affecting the positioning effect

[0004] The invention patent with the patent application number 201310616675.4 uses the combination of Gabor dictionary and MP algorithm to complete the fault location. Neither the dictionary nor the reconstruction algorithm is optimized for the characteristics of traveling wave fault signals.

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