A Live Detection Method for Transformer Partial Discharge

Abstract

The invention relates to a live detection method for partial discharge of a transformer, and its technical characteristics include the following steps: Step 1. Obtain the phase spectrum and classification spectrum of the high-frequency signal at the transformer core and the grounding lead of the clip respectively, and judge the classification spectrum Whether there is obvious block aggregation in the figure; step 2, clustering and separating the high-frequency signal classification spectrogram, and dividing them into different blocks according to the signal aggregation situation; step 3, combining the phase spectrogram corresponding to each block with the transformer Compare the typical partial discharge phase spectra to determine whether there are typical characteristics of partial discharge in the phase graph; step 4, select typical points at the place where the discharge signal of the suspected partial discharge phase graph gathers and extract its time domain and frequency domain images , compare it with the time-domain and frequency-domain images of the typical partial discharge signal of the transformer, and judge whether it has the typical characteristics of partial discharge. The invention has the advantages of short testing time and no need to shut down the transformer during testing.

Description

technical field [0001] The invention belongs to the technical field of partial discharge detection of transformers, and in particular relates to a live detection method of partial discharge of transformers. Background technique [0002] In recent years, with the rapid development of economy and society, the scale of power grid has also expanded rapidly. The traditional cycle-based periodic 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 changed from the traditional regular maintenance mode to the condition-based maintenance mode. Based on the status detection of power equipment, the equipment condition-based maintenance mode, which reasonably evaluates the health status and fault development trend of power equipment, and formulates corresponding maintenance plans and strategies, has become the most feasible and most effective way to ensure t...

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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