Method for optimizing oil-paper insulation time domain dielectric response feature quantity of two-stage transformer

Abstract

The invention relates to a method for optimizing the oil-paper insulation time domain dielectric response feature quantity of a two-stage transformer. The advantages of a filter type feature selectionstatistical index and random forest bag external data feature quantity importance estimation are combined, and an optimal feature space with the lowest redundancy, the highest class discrimination degree and the highest classification importance can be finally determined through two-stage feature selection. The method is used for realizing evaluation selection of the time domain dielectric spectrum feature quantity; under the condition that a traditional insulation diagnosis method adopts a similar dimensional feature space, the method can be used for obtaining more effective information, theaccuracy of insulation diagnosis is greatly improved, a new idea of selecting the feature space is provided for subsequent transformer insulation evaluation by using the multivariate time domain feature quantity, and the method has an important application value in practical engineering.

Description

technical field [0001] The invention relates to the technical field of aging evaluation of oil-paper insulation transformers, in particular to a method for optimizing the time-domain dielectric response characteristic quantity of oil-paper insulation of a two-stage transformer. Background technique [0002] The long-term operation of oil-immersed transformers will cause their insulation systems to gradually age and fail, which will affect their operating status and service life. Therefore, it is necessary to carry out effective diagnosis on the transformer insulation system periodically. In the research field of transformer oil-paper insulation diagnosis, time-domain dielectric response method, as a non-destructive testing method, can accurately reflect the relaxation characteristics of transformer insulation, and can scientifically and reliably diagnose the aging state of oil-paper insulation. The recovery voltage method (RVM) and the polarization / depolarization current me...

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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to propose a two-stage transformer oil-paper insulation time-domain dielectric response feature optimization method to solve the problem that there is no reasonable basis for the time-domain dielectric feature space selection, combined with filter-type feature selection statistics Based on the advantages of scientific indicators and random forest out-of-bag data feature importance estimation, two-level feature selection can be used to finally determine the optimal feature space with the smallest redundancy, the highest class discrimination degree, and the strongest classification importance.

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