Method for diagnosing transformer fault in transformer station

Abstract

The invention relates to a method for diagnosing a transformer fault in a transformer station. The method comprises the steps of: (1), data acquisition, i.e., an oil chromatogram sensor installed on the transformer acquiring an oil sample and performing chromatography to obtain the concentration values of hydrogen, methane, ethane ,ethane and acetylene; (2), data processing, i.e., selecting concentration values three times of standard deviations; (3), health assessment; (4), three-ratio method diagnosis; (5), characteristic gas method diagnosis; (6), Duval's triangle method diagnosis; and (7), diagnosis result, i.e., performing comprehensive determination on a transformer first fault diagnosis result, a transformer second fault diagnosis result and a transformer third fault diagnosis result, and then selecting a conclusion with the highest confidence as a transformer fault diagnosis result according to a confidence rule. According to the invention, by taking current operation condition of electrical network equipment as a basis, the equipment operation state is analyzed in real time and fault diagnosis is carried out on abnormity equipment so that power supply reliability is ensured, maintenance cost is lowered, and maintenance risks are reduced.

Description

technical field [0001] The invention belongs to the field of intelligent substations, in particular to a transformer fault diagnosis method in a substation. Background technique [0002] In the traditional comprehensive status monitoring system of substation equipment, most of them focus on monitoring the amount of data, while ignoring advanced applications based on data. Most systems only implement monitoring data collection and data display functions, but do not perform advanced application analysis based on data, and do not implement advanced functions such as fault diagnosis and decision support. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a transformer fault diagnosis method in a substation. The method is simple and easy to use and can utilize the collection amount of online monitoring of equipment, according to data collection, data processing, status monitoring, health evaluatio...

AI Technical Summary

Problems solved by technology

Most systems only implement monitoring data collection and data display functions, but do not perform advanced application analysis based on data, and do not implement advanced functions such as fault diagnosis and decision support.

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