A Quantitative Diagnosis Method of Transformer Winding Deformation Based on Model Correction

Abstract

The invention discloses a method for quantitatively diagnosing transformer winding deformation based on model correction. The method is based on the detection of transformer winding deformation by the frequency response analysis method, calculates the frequency response function of the equivalent circuit model of the normal transformer winding, and compares it with the frequency response data of the faulty transformer winding to determine the frequency response function deviation; The frequency response function sensitivity matrix is ​​constructed by the adjoint network method to describe the quantitative correspondence between the frequency response function deviation and the parameter correction of the equivalent circuit model; the linear correlation is used to select the appropriate frequency, and the maximum linearly independent sensitivity matrix is ​​reconstructed; The model parameters are iteratively corrected to determine the parameter correction amount when the frequency response function deviation reaches the minimum, and the winding deformation state and diagnosis accuracy are analyzed in combination with the parameter correction amount. The invention can accurately and quantitatively judge the winding deformation position, deformation degree and deformation form, and can effectively improve the diagnosis accuracy of the transformer winding deformation.

Description

technical field [0001] The invention relates to the field of power transformer fault diagnosis, in particular to a method for quantitative diagnosis of transformer winding deformation based on model correction. Background technique [0002] Transformer is an important pivotal device in the power system, and its safe and reliable operation plays a vital role in the entire power grid. Transformers will inevitably be impacted by various short-circuit currents during operation. Once a transformer fails, it is likely to cause a large-scale power outage in the power grid and cause heavy losses. In recent years, winding deformation is still one of the main causes of transformer failure directly or indirectly. How to effectively and accurately detect and diagnose the deformation state of transformer windings has always been a hot issue in transformer fault diagnosis. [0003] At present, the detection methods for transformer winding deformation mainly include: low-voltage pulse me...

AI Technical Summary

Problems solved by technology

However, the commonly used correlation coefficient method is currently used to statistically analyze the data of the frequency response curve, and cannot accurately and quantitatively diagnose the deformation state of the winding, such as the deformation size, deformation position, and deformation form.

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