Partial discharge on-line monitoring alarm confidence coefficient analysis method and device

Abstract

The invention discloses a partial discharge on-line monitoring alarm confidence coefficient analysis method. The method includes the steps that partial discharge of electrical equipment is monitored on line to obtain real-time monitoring data; the real-time monitoring data are compared with fault atlas data to generate partial discharge alarm information; according to statistics of the type and the frequency of the partial discharge alarm information, corresponding confidence coefficients are set for the partial discharge alarm information; the confidence coefficients corresponding to the partial discharge alarm information are compared with a threshold value, if the confidence coefficients of the partial discharge alarm information are larger than or equal to the threshold value, the partial discharge alarm information is output, and if the confidence coefficients of the partial discharge alarm information are smaller than the threshold value, the partial discharge alarm information is abandoned. The invention correspondingly provides a partial discharge on-line monitoring alarm confidence coefficient analysis device and system. According to the embodiment, the accuracy and the reliability of partial discharge on-line monitoring alarming can be effectively improved, the invalid working amount is reduced, and the device maintaining cost is saved.

Description

technical field [0001] The invention belongs to the field of state detection of electric equipment, in particular to the field of partial discharge monitoring, in particular to a method, device and system for analyzing the confidence level of an on-line partial discharge monitoring alarm. Background technique [0002] At present, in the power system, the system for on-line monitoring and analysis of partial discharge of equipment such as transformers and GIS is widely used. Partial discharge on-line monitoring system is a device for monitoring partial discharge of transformers, GIS and other equipment. It is used to help users monitor and warn whether there are latent overheating, discharge, insulation and other faults in power equipment in operation, so as to ensure the safety of the power grid Secondary equipment for efficient operation. When the monitoring data exceeds the threshold, the partial discharge online monitoring system will issue an alarm prompt to remind the ...

AI Technical Summary

Problems solved by technology

[0003] However, due to the harsh working environment of the sensors of the partial discharge on-line monitoring system, transient electromagnetic interference is more likely to occur, causing the partial discharge on-line monitoring system to issue wrong alarm information

Wrong alarm information will lead to subsequent meaningless offline analysis, increasing invalid workload and wasting various resources

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