GIS (Gas Insulated Switchgear) internal partial discharge defect recognition method based on PRPS signals

Abstract

The invention discloses a GIS (Gas Insulated Switchgear) internal partial discharge defect recognition method based on PRPS signals. The GIS internal partial discharge defect recognition method comprises the steps: obtaining a lot of partial discharge signals PRPS through a GIS built-in sensor; extracting a plurality of characteristics of a discharge capacity mean value, a discharge duality rate,initial discharge phase window difference, a discharge width ratio, a discharge phase mean value, discharge phase standard deviation, discharge phase skewness and the like; utilizing extreme gradientto improve a classification tress to achieve establishment of a PRPS defect type recognition model. According to the method disclosed by the invention, machine learning is utilized to perform discharge defect recognition on PRPS atlases obtained through an ultrahigh frequency method, a traditional time-consuming complex process that a GIS partial discharge defect recognition system is achieved byconverting PRPS to PRPD is avoided, effects caused by period inconformity can be well eliminated, a defect type recognition accuracy rate can be remarkably improved, and defect types can be judged according to calculation results.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and safe electric power, in particular to a method for recognizing partial discharge defects of GIS equipment based on PRPS signal pattern recognition. Background technique [0002] Gas insulated switchgear, GIS for short, is a kind of electrical equipment widely used in today's power transmission network. Its working process is to orderly combine primary equipment such as isolating switches, cable terminals, circuit breakers, lightning arresters, voltage and current transformers, grounding switches, connecting busbars, and inlet and outlet bushings in the substation into a whole. At the same time, it is packaged in a metal case. Fill the SF6 gas into the GIS equipment to form a combined closed electrical appliance composed of arc extinguishing and insulating medium. But precisely because of its fully enclosed structure, when a large-scale failure occurs, the staff is usually unable...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide a method for identifying partial discharge defects in GIS based on PRPS signals. The method of the present invention uses machine learning to identify discharge defects on the PRPS spectrum obtained by the UHF method. Traditionally, the time-consuming and cumbersome process of GIS partial discharge defect identification system must be converted from PRPS to PRPD, and the operating speed, resource consumption and accuracy of the GIS partial discharge defect identification system have been significantly improved.

Images