Oil paper insulation state diagnosis method of return voltage and depolarization current mixed characteristic quantity

Abstract

The invention relates to an oil paper insulation state diagnosis method for a return voltage and the depolarization current mixed characteristic quantity, and the method comprises the steps of building a transformer matter element model according to the time domain dielectric spectrum data obtained through the on-site testing of a plurality of oil paper insulation transformers and different characteristic quantities capable of reflecting an insulation state; determining a weight coefficient of each layer of index of the transformer by adopting an extension analytic hierarchy process; then, onthe basis of a large amount of actual measurement data and a result obtained through calculation and analysis, determining a classic domain and a node domain of four insulation states of the transformer; and finally, determining the correlation function values of the to-be-diagnosed transformer about the four insulation states through the correlation function, thereby determining the insulation level of the to-be-diagnosed transformer. According to the present invention, the quantitative diagnosis of the oil paper insulation state can be more effectively achieved, and the insulation aging andthe like can be deeply studied.

Description

technical field [0001] The invention relates to the research field of oil-paper insulation aging diagnosis, in particular to a method for diagnosing the state of oil-paper insulation based on mixed characteristic quantities of recovery voltage and depolarization current. Background technique [0002] At present, in the research field of oil-paper insulation aging diagnosis, there has been some research on the analysis of oil-paper insulation state by means of dielectric response characteristic parameters. Now it has got the attention of experts and has been widely used. However, so far, most researchers have only stayed in qualitative analysis when applying dielectric characteristic parameter analysis to evaluate the state of oil-paper insulation, and cannot make a powerful diagnostic analysis for a single transformer. Two or more power transformers need to be actually tested. Diagnosis results can only be obtained by comparing and analyzing the data. This aging assessment...

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Problems solved by technology

But so far, most researchers have only stayed in qualitative analysis when applying dielectric characteristic parameter analysis to evaluate the state of oil-paper insulation, and cannot make a powerful diagnostic analysis for a single transformer. Two or more power transformers need to be actually tested. Diagnosis results can only be obtained by comparative analysis of data

This aging assessment method not only requires a cumbersome detection process, but also the accuracy of qualitative analysis results is difficult to guarantee

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