Transformer inter-turn short circuit fault positioning method based on low-voltage pulse signals

Abstract

The invention discloses a transformer inter-turn short circuit fault positioning method based on low-voltage pulse signals. The method comprises steps: 1) a single low-voltage pulse is inputted to a port of a transformer winding, and a reflection voltage waveform of the port is recorded; 2) in view of the reflection voltage waveform, the reflection voltage maximum amplitude Un corresponding to each turn of the winding coil is extracted and recorded; 3) in view of each turn of the winding coil of the transformer winding, the reflection voltage maximum amplitude Un and the normal calibrated reflection voltage maximum amplitude Un' are compared and analyzed for realizing transformer inter-turn short circuit fault positioning. The method of the invention has the advantages that the power repair process is simplified, the repair efficiency is enhanced, the inter-turn short circuit fault positioning is accurate and reliable, and the implementation is simple and convenient.

Description

technical field [0001] The invention relates to a transformer turn-to-turn short-circuit fault location technology, in particular to a transformer turn-to-turn short-circuit fault location method based on a low-voltage pulse signal. Background technique [0002] With the transformation and upgrading of the power system, the voltage level is gradually increased. The normal operation of power transformers is of great significance to the operation safety and stability of the entire power system. Although the design structure of the transformer is very stable, various mechanical failures and electrical failures are still unavoidable during long-term use. Among them, for the internal fault of the transformer, the probability of inter-turn short circuit of the winding is increasing, and it has become one of the main fault forms. Generally speaking, if only a relatively minor turn-to-turn fault occurs, the transformer can continue to operate, but it should not be underestimated, ...

AI Technical Summary

Problems solved by technology

Compared with DGA, this diagnosis method is more pertinent. However, due to the complex operating environment of transformers, there are various types of insulation defects and discharge types, and the insulation damage caused by these faults is different. The interference of the discharge signal also brings great diagnostic difficulties

To sum up, whether it is based on DGA or partial discharge signals, there are obvious limitations in the diagnosis of inter-turn short circuit faults of transformers, especially minor faults.

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