A Winding Deformation Diagnosis Method Based on Feature Extraction of Transformer Winding Frequency Response Data

Abstract

The invention discloses a winding deformation diagnosis method based on the feature quantity extraction of transformer winding frequency response data. Firstly, the frequency response data of transformer A, B, and C three-phase windings are obtained; segment; then fit the frequency response data of each frequency segment separately, restore them into a function form, and extract their characteristic quantities; finally, combine the numerical interval of the characteristic quantity and the winding diagnosis criterion to diagnose whether the transformer winding has deformed and the degree of deformation . The invention can accurately diagnose the deformation condition of the transformer winding, and correctly guide its maintenance work.

Description

technical field [0001] The invention belongs to the technical field of electric power engineering, and in particular relates to a winding deformation diagnosis method based on feature quantity extraction of transformer winding frequency response data. Background technique [0002] The transformer is the core equipment of the power grid system, and it is also one of the most expensive equipment. Its operation status directly affects the safety and stability of the entire power grid system. Due to the reasons of design and manufacturing, process materials, operation and maintenance, and operating environment, transformer winding deformation faults occur from time to time, especially under the influence of short-circuit current, transformer windings are affected by strong electromotive forces, and collapse, overall distortion and Mechanical permanent deformation such as displacement. Timely detection and repair of transformer winding deformation faults can prolong the operatin...

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Problems solved by technology

At present, the methods for detecting the deformation of power transformer windings mainly include: (1) judging the degree of winding deformation according to the variation of capacitance. This method can detect the deformation conditions such as the overall distortion and displacement of the winding, but cannot detect the deformation conditions such as inter-turn short circuit; ( 2) Short-circuit impedance method, which cannot locate winding faults and has low sensitivity; (3) Frequency response analysis method is the most commonly used winding deformation detection method at present, but there are three shortcomings. First, the anti-interference ability is not strong, and the measured There are different degrees of interference signals in the test data; the second is to judge the winding deformation by comparing the transverse correlation coefficient, which is low in sensitivity and often leads to misjudgment; the third is that rich on-site experience is needed to make a preliminary judgment on the winding deformation

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