A Location Method of Converter Valve Partial Discharge Signal Based on Microphone Array

Abstract

The invention discloses a method for locating a partial discharge signal of a converter valve based on a microphone array, comprising the following steps: S1, collecting the original signal of the partial discharge data generated by the defect of the converter valve equipment through an optimal microphone array arrangement structure; S2, use the blind source separation algorithm to separate the background noise data and partial discharge signal data from the original signal; S3, filter the denoised partial discharge signal to obtain the frequency domain signal of the partial discharge signal, and according to the signal center frequency and The relationship between bandwidth is divided into broadband signal and narrowband signal; S4, focus the broadband signal into narrowband signal by focusing algorithm; S5, use the improved MUSIC algorithm to locate and calculate the narrowband signal to determine the position of the partial discharge of the converter valve. The method for locating the partial discharge signal of the converter valve based on the microphone array provided by the invention has the characteristics of fast calculation speed, high positioning accuracy and strong real-time performance.

Description

technical field [0001] The invention relates to the technical field of high-voltage direct current transmission, in particular to a method for locating partial discharge signals of converter valves based on a microphone array. Background technique [0002] The converter valve plays a very important role in the UHV DC transmission project, and is the core equipment to realize the AC-DC-AC conversion of electric energy. However, with the increase of the operating life of the converter valve, the insulating material on the surface of the operating electrical equipment may age, and the connection terminals between the electrical equipment may become loose. Under operating conditions, partial discharges are very likely to occur. [0003] The existing technology based acoustic array localization methods for partial discharge signals mainly include multiple signal classification methods (MUSIC) and signal parameter estimation with rotation invariance (ESPRIT). ESPRIT does not need...

AI Technical Summary

Problems solved by technology

However, with the increase of the operating life of the converter valve, the insulating material on the surface of the operating electrical equipment may age, and the connection terminals between the electrical equipment may become loose. Under operating conditions, partial discharge is very likely to occur

[0003] The existing technology based acoustic array localization methods for partial discharge signals mainly include multiple signal classification methods (MUSIC) and signal parameter estimation with rotation invariance (ESPRIT). ESPRIT does not need to search for spectral peaks, so the amount of calculation Relatively small, the calculation speed is fast, but the calculation accuracy is greatly affected by the signal ratio, the number of array elements, and the number of signal sources; the MUSIC algorithm is not too sensitive to the deviation of a small number of parameters compared with ESPRIT, and requires spectral peak search, and the calculation amount is relatively large. The calculation time is long, and there is a problem of poor positioning accuracy in the case of a lot of noise, and the above two classic algorithms perform positioning calculations for narrow-band signals, while partial discharge signals generated by converter valve equipment defects are often broadband signals , it is necessary to focus the broadband signal into a narrowband signal before calculation, which further increases the calculation time

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