An Online Monitoring Method of Transformer Winding Status Based on Cluster Analysis

Abstract

The invention discloses a method for on-line monitoring of the state of transformer windings based on cluster analysis, which comprises: collecting vibration signals of the transformer box wall, and standardizing the collected vibration signals; intercepting the normalized processed vibration signals to obtain m groups of vibration signals; perform cluster analysis on the m groups of vibration signals of the transformer to obtain the transformer vibration characteristic curve; the calculation cluster is C t (k) Various types of vibration signals in the transformer vibration characteristic curve Z t The rate of change of the curve Y ci The root mean square value, and the average value of the root mean square value is Y cm ;Calculate the vibration curve y′ of the transformer to be detected c Relative to the transformer vibration characteristic curve Z t The rate of change of the curve Y' c The mean square value Y' of cm ; put Y' cm with Y cm To compare, Y' cm ≤Y cm Then it is judged that the transformer winding is running normally; Y′ cm >Y cm Then the transformer winding is loose or deformed; this method can effectively and highly sensitively monitor the looseness and deformation of the transformer winding on-line.

Description

technical field [0001] The invention relates to a transformer signal monitoring method, in particular to an online transformer winding state monitoring method based on cluster analysis. Background technique [0002] Transformer is one of the most important equipment in the power system, and the stability of its operation has a great influence on the safety of the power system. With the increasing capacity of my country's power grid, the short-circuit capacity is also increasing, and the huge electromagnetic force generated by the surge current formed by the short-circuit at the outlet of the transformer poses a serious threat to the mechanical strength of the winding. After a transformer suffers a sudden short circuit, its winding may be loose or slightly deformed first, and the deformation of the transformer winding has a cumulative effect. Correspondingly, if the looseness or deformation cannot be detected and repaired in time, the short-circuit resistance capability of t...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to improve a method for on-line monitoring of transformer winding state based on cluster analysis, so as to solve the problem of using the vibration signal analysis on the surface of the transformer box as the fault diagnosis of transformer winding in the prior art due to the influence of the transformer mechanical structure. Due to the influence of various factors such as the dispersion of the process and the operating environment of the substation, it is impossible to efficiently and accurately obtain a relatively accurate monitoring of the winding state from the massive vibration signals obtained from the transformer vibration online monitoring system.

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