Transformer winding deformation quantitative diagnosis method based on model correction

Abstract

The invention discloses a transformer winding deformation quantitative diagnosis method based on model correction. The method comprises the steps as follows: on the basis of detecting the deformation of a transformer winding by a frequency response analysis method, calculating the frequency response function of an equivalent circuit model of a normal transformer winding, and comparing the frequency response function with the frequency response data of a faulty transformer winding to determine the frequency response function deviation; constructing a frequency response function sensitivity matrix by an adjoint network method to describe the quantitative corresponding relationship between the frequency response function deviation and the equivalent circuit model parameter correction; selecting an appropriate frequency based on linear correlation to reconstruct a maximum linearly-independent sensitivity matrix; and determining the parameter correction when the frequency response function deviation reaches the minimum through iterative model parameter correction, and analyzing the winding deformation state and the diagnosis accuracy based on the parameter correction. By adopting the method of the invention, the position, degree and type of winding deformation can be judged accurately and quantitatively, and the diagnosis accuracy of transformer winding deformation can be effectively improved.

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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