State analysis method for transformer in power grid based on weighted Mahalanobis distance discrimination

Abstract

The present invention relate to a state analysis method for a transformer in a power grid based on weighted Mahalanobis distance discrimination, and belongs to the monitoring control and early-warningfield of power supply units. The gas contents of H<2>, CH<4>, C<2>H<6>, C<2>H<4> and C<2>H<2> during operation of the transformer are collected to reflect the signals of medium-low temperature faults, high temperature faults, low energy discharge, high energy discharge or a normal state of the transformer. According to the obtained H<2>, CH<4>, C<2>H<6>, C<2>H<4> and C<2>H<2> gas contents, a reference vector is established; different weights are assigned to different elements in the detected gas content vector; then state categories of the gas contents are discriminated by the weighted Mahalanobis distance, which can be divided into a medium-low temperature fault, a high temperature fault, low energy discharge, high energy discharge and a normal state. The invention can accurately judge the working condition of the transformer by collecting and analyzing the contents of different gases in transformer oil, and can timely give an early warning or alarm for the fault state of the transformer.

Description

technical field [0001] The invention relates to a method for analyzing the state of a power grid transformer based on weighted Mahalanobis distance discrimination, and belongs to the field of monitoring and early warning of power supply equipment. Background technique [0002] Transformer is one of the important electrical equipment in the power system. Once an accident occurs, it will take a long time to repair and cause serious impact. With the rapid development of my country's electric power industry, the scale of the power grid continues to expand, the stand-alone capacity and installation capacity of power transformers continue to increase, and the voltage level is also continuously improved. Generally speaking, the larger the capacity and the higher the voltage level, the greater the loss caused by transformer failure. In recent years, due to the improvement of materials, design methods and manufacturing technology of power transformers, the operation reliability has ...

AI Technical Summary

Problems solved by technology

Generally speaking, the larger the capacity and the higher the voltage level, the greater the loss caused by transformer failure

In recent years, due to the improvement of materials, design methods and manufacturing technology of power transformers, the operation reliability has been improved, but unexpected accidents still occur

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