Partial-discharge charged detection method of transformer

Abstract

The invention relates to a partial-discharge charged detection method of a transformer. The method comprises the following steps of step 1, acquiring phase spectrums and classification spectrums of high frequency signals of an iron core of a transformer to be detected and a clamping component grounding lead wire respectively and determining whether obvious blocking gathering exists in the classification spectrums; step 2, carrying out clustering separation on the classification spectrums of the high frequency signals and dividing into different blocks according to a signal gathering condition; step 3, comparing the phase spectrum corresponding to each block to a typical partial-discharge phase spectrum of the transformer and determining whether a typical characteristic of partial discharge exists in the phase spectrum; step 4, selecting a typical point and extracting time domain and frequency domain images at a discharge signal gathering position of a suspected partial discharge phase diagram spectrum, comparing the time domain and frequency domain images to time domain and frequency domain images of a typical partial discharge signal of the transformer, and determining whether a typical characteristic of the partial discharge exists. The method has advantages that test process time is short and the transformer does not need to be stopped during detection.

Description

Technical field [0001] The invention belongs to the technical field of transformer partial discharge detection, and particularly relates to a transformer partial discharge live detection method. Background technique [0002] In recent years, with the rapid economic and social development, the scale of power grids has also expanded rapidly. The traditional cycle-based regular maintenance mode of power grid equipment can no longer meet the requirements of contemporary power grid development. [0003] At present, the maintenance mode for power equipment has been changed from the traditional regular maintenance mode to the state maintenance mode. Based on power equipment status detection, a reasonable evaluation of the health status and failure development trend of power equipment, and the development of corresponding maintenance plans and strategies based on the equipment status maintenance mode has become the most feasible and most feasible way to ensure the safe and reliable operat...

AI Technical Summary

Problems solved by technology

However, when using the conventional pulse current method to conduct partial discharge tests on transformers, the transformer needs to be shut down, so it is difficult to carry out partial discharge detection according to the regular and frequent requirements of the transformer condition maintenance mode.

Moreover, the traditional transformer partial discharge detection method has disadvantages such as complex detection equipment, large number of personnel, high test risk, and poor convenience.

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