Transformer fault diagnosis method based on entropy weight method and grey correlation analysis

Abstract

The invention discloses a transformer fault diagnosis method based on an entropy weight method and grey correlation analysis, belonging to the technical field of transformer fault diagnosis. The transformer fault diagnosis method comprises the steps of: carrying out standardization processing on transformer fault sample data; adopting the entropy weight method to determine weight of a transformer fault diagnosis index; and determining a fault type of a transformer through calculating Grey Euclid weighted correlation degree. The transformer fault diagnosis method makes full use of all information of gas in oil data, exerts the advantage that the grey correlation is applicable to a small sample and poor information system, avoids defects of partial correlation and information loss, and can effectively increase accuracy rate of transformer fault diagnosis as shown by results of example analysis.

Description

technical field [0001] The invention relates to a transformer fault diagnosis method based on an entropy weight method and gray relational analysis, and belongs to the technical field of transformer fault diagnosis. Background technique [0002] The power transformer is the main equipment in the power system, and it is widely used. Its reliable operation is the basis for the safety and stability of the power system. Due to various reasons, transformer faults occur from time to time, and the fault diagnosis of power transformers is to find out its internal latent faults in time and accurately. [0003] Dissolved gas analysis (DGA) in oil is currently the main method for diagnosing transformer faults, and the most widely used DGA is the IEC three-ratio value. The three-ratio method has the advantages of simplicity and practicality, but in practical applications, there are defects such as missing codes and too absolute coding boundaries. In addition, when the characteristic ga...

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Problems solved by technology

The three-ratio method has the advantages of simplicity and practicality, but in practical applications, there are defects such as missing codes and too absolute coding boundaries. In addition, when the characteristic gas does not reach the attention value, the three-ratio method cannot be used, so the accuracy of its fault diagnosis is still low. needs improvement

Although these algorithms improve the accuracy of transformer fault diagnosis, they all require a large number of fault sample data. However, it is very difficult to obtain a large number of typical fault samples in the actual operation of the power grid.

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