Method and system for on-line diagnosis of transformer winding deformation

A transformer winding and diagnosis method technology, applied in the field of transformers, can solve problems such as online diagnosis of transformer windings, and achieve the effect of eliminating the influence of external equipment

Inactive Publication Date: 2017-12-15
CHINA ELECTRIC POWER RES INST +3
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  • Abstract
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Problems solved by technology

[0012] The present invention provides a method and system for online diagnosis of transformer winding

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  • Method and system for on-line diagnosis of transformer winding deformation
  • Method and system for on-line diagnosis of transformer winding deformation
  • Method and system for on-line diagnosis of transformer winding deformation

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Embodiment Construction

[0060] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0061] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The present invention discloses a method and a system for on-line diagnosis of transformer winding deformation. The method comprises: injecting a sweep signal from a high-voltage lead-out line of a transformer winding by way of magnetic field induction; acquiring an excitation current signal induced on the high-voltage lead-out line of the transformer winding; obtaining the response current signal on the neutral ground line of the transformer winding; obtaining the frequency response curve according to the transfer function relationship, which is constructed by using the excitation current signal and the response current signal, of the transformer winding; based on the diagnosis method in the DLT911-2004 standard, diagnosing the frequency response curve; and determining the deformation of the transformer winding. According to the invention, the excitation signal injection and response signal measurement do not need direct electrical connection with the transformer winding, making the high-voltage transformer winding operate in a high-voltage and high-current condition and realizing the real-time detection of the transformer winding deformation online.

Description

technical field [0001] The invention relates to the technical field of transformers, and more specifically, to an online diagnosis method and system for transformer winding deformation. Background technique [0002] Transformer winding deformation refers to the irreversible change in the size or shape of the winding under the action of electrodynamic force and mechanical force. It includes changes in axial and radial dimensions, body displacement, winding twist, bulge and inter-turn short circuit, etc. In addition, the winding deformation also has a cumulative effect, that is, after being subjected to a short-circuit current impact, the transformer winding is not damaged immediately, and only has a small permanent deformation, but it leads to a decrease in its insulation performance and mechanical performance. When the next short-circuit current impacts, the winding deformation will be aggravated, and a vicious circle will appear. Therefore, a transformer with deformed win...

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Application Information

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IPC IPC(8): G01R31/06
CPCG01R31/72
Inventor 常文治毕建刚程养春袁帅张正渊张黎明马宪伟
Owner CHINA ELECTRIC POWER RES INST
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