Power transformer winding fault diagnosing method

Abstract

The invention provides a power transformer winding fault diagnosing method, by which winding deformation fault diagnosis is performed through combination of frequency response analysis (FRA) and empirical mode decomposition (EMD). According to the power transformer winding fault diagnosing method, on the basis of energy change information in each interval during a winding deformation fault as well as the adaptive decomposing capacity of the empirical mode decomposition (EMD), a fault energy characteristic quantity of a winding is extracted to establish a fault energy database; the fault energy characteristic quantity is compared with an energy curve of a transformer winding without a fault; the change trend of the characteristic energy shows the working state of the transformer; and the method is used for establishing a mapping relationship between an intrinsic mode function of the winding deformation and an intrinsic mode function of an FRA signal and establishing an integrated fault diagnosis analysis system based on characteristic energy information of the EMD. The integrated fault diagnosis analysis system can accurately know a basic rule of the change of the transformer winding deformation energy and provides a new research way for determining the type and the degree of a transformer fault and estimating the developmental trend of the fault.

Description

technical field [0001] The present invention relates to a measurement system related to fault diagnosis of power transformer windings, which combines Frequency Response Analysis (FRA) and Empirical Mode Method (EMD), and uses a characteristic energy method based on Empirical Mode Method (EMD) as Transformer winding deformation fault characteristic information, the size of the characteristic energy reflects the working state of the transformer. Background technique [0002] Due to the continuous expansion of the grid pattern and the continuous growth of power transmission capacity, it is necessary to effectively ensure the safe and stable operation of the power system. The power transformer is responsible for the conversion of voltage and current and the task of power transmission, and is one of the most important equipment in the system. Fault analysis on power transformers shows that windings are one of the most important and most fault-prone components in transformers. A...

AI Technical Summary

Problems solved by technology

The short-time Fourier transform (STFT) and wavelet transform (WT) in the traditional Fourier transform (FFT) and time-frequency analysis methods cannot effectively extract the actual physical characteristics of non-stationary signals due to their fixed basis functions. Significant characteristic information

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