Fault location method of acoustic electric joint partial discharge detection based on BP (Back Propagation) network in GIS (Gas Insulated Switchgear)

Abstract

The invention discloses a fault location method of acoustic electric joint partial discharge detection based on a BP (Back Propagation) network in a GIS (Gas Insulated Switchgear). The method comprises the following steps that: 1, a sensor converts the information acquired on site into an electrical signal, and comprises an ultrasonic sensor and an ultra high frequency sensor; 2, the ultrasonic sensor conducts data preprocessing on the converted electrical signal and fuses the preprocessed data, and the ultra high frequency sensor conducts data preprocessing on the converted electrical signal and fuses the preprocessed data; 3, fusing the data fused by the ultrasonic sensor and the data fused by the ultra high frequency sensor by utilizing the BP neural network, and determining the fault location; 4, outputting the fault location. The method provided by the invention solves the problem that the accuracy rate and the correct rate of the fault location identification of an on-line monitoring system based on a single type sensor are low, and can avoid the false report, missing report and non-report phenomena of the on-line detection system based on the single type sensor.

Description

technical field [0001] The invention relates to the fields of electronic technology and control, in particular to a BP network-based GIS partial discharge acoustic-electric joint detection fault location method. Background technique [0002] Gas-insulated combined electrical equipment is a combined switching device that encloses circuit breakers, isolating switches, grounding switches, busbars and other equipment in a metal shell filled with sulfur hexafluoride gas. Once the key equipment fails, it may cause a major accident in the power grid. Insulation reduction is the main reason for the failure of gas-insulated switchgear (GIS) equipment. Online partial discharge (PD) detection of gas-insulated switchgear (GIS) can effectively grasp the internal insulation status of GIS and prevent GIS insulation fault tripping. Grid accident. [0003] Partial discharge in GIS will generate acoustic waves and electromagnetic signals. The beating particles and partial discharge are the ...

AI Technical Summary

Problems solved by technology

[0004] The ultrasonic method is greatly disturbed by on-site noise, and the ultra-high frequency detection method cannot accurately locate faults

At the same time, the two signals attenuate quickly during the transmission to the probe inside the GIS, which increases the difficulty of ultrasonic or ultra-high frequency sensor discharge signal collection and filter analysis. Therefore, the two single methods are not ideal for accurately locating the fault location.

Four types of insulation defects are simulated in GIS, including protrusion type A defect, attachment type B defect, insulator air gap type C defect and free particle D type defect. Using these two methods for fault detection, the analysis of the detection map shows that: ultrasonic The detection method has the most obvious detection effect on PD caused by class D free metal particle defects, but it is not obvious for the discharge detection of class B insulators attached to pollutant defects; The detection effect of PD is the most obvious, and the detection effect of D-type free metal particle defect discharge is the worst

[0005] The above-mentioned two types of online detection based on a single type of sensor currently have different problems: the ultrasonic method is greatly disturbed by on-site noise, and the ultra-high frequency detection method cannot accurately locate faults

Images