Winding state diagnosis method of transformer sudden short circuit based on vibration signal shape spectrum

Abstract

The invention discloses a method for diagnosing the winding state of a transformer under a sudden short circuit based on a vibration signal form spectrum, which includes: (1) performing real-time short circuit monitoring on the transformer, and collecting information on the transformer box wall whenever a sudden short circuit of the transformer is detected. A continuous vibration signal of a section, and calculate the steady-state vibration signal form spectral entropy of the vibration signal collected when a sudden short circuit occurs in the transformer every time by the following steps (2) to step (6); (7) according to the steady-state The morphological spectral entropy of the vibration signal xs(t) is used to judge the winding state: when the change ΔH of the morphological spectral entropy is satisfied, it is determined that the winding of the transformer is loose or deformed when the Y-th sudden short circuit occurs in the transformer. The invention has the advantages of accuracy and high efficiency.

Description

technical field [0001] The invention relates to a signal monitoring method, in particular to a method for diagnosing the state of a winding when a sudden short circuit occurs in a transformer. Background technique [0002] Transformer is one of the most important equipment in the power system, and its operation stability 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 deformation of transformer windings caused by external short-circuits has remained high. posed a great threat. [0003] After the transformer suffers a sudden short circuit, its winding may loosen or be slightly deformed first, and the deformation of the transformer winding has a cumulative effect. The anti-short-circuit capability of the transformer is greatly reduced. At this time, even a small short-circuit surge current may cause a major accident. [0004] On the one hand, the deformati...

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Problems solved by technology

[0009] The test sensitivity of the frequency response analysis method is higher than that of the short-circuit impedance method. However, due to the complexity of the frequency response waveform, the judgment of the winding condition requires more experience, and it is difficult to form a clear quantitative criterion. Therefore, no criterion has been formed so far.

[0010] The starting point of the short-circuit impedance method and the frequency response analysis method is to measure and judge the transformer winding according to the change of its electrical parameters. , especially the relatively loose and twisted state of the transformer winding can not give a clear judgment

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