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Graded diagnosis method for insulating state of power transformer oiled paper

A technology for power transformers and oil-paper insulation, applied in transformer testing, measuring electrical variables, instruments, etc., can solve problems such as grading and grading diagnosis methods of oil-paper insulation status, and achieve objective results of diagnosis

Inactive Publication Date: 2019-03-01
FUZHOU UNIVERSITY
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Problems solved by technology

Related studies have comprehensively evaluated the state of oil-paper insulation through fuzzy comprehensive evaluation methods, rough sets, and evidence theory. Specific grading and grading diagnostic methods

Method used

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  • Graded diagnosis method for insulating state of power transformer oiled paper
  • Graded diagnosis method for insulating state of power transformer oiled paper
  • Graded diagnosis method for insulating state of power transformer oiled paper

Examples

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Embodiment 1

[0062] According to step S1, select the maximum recovery voltage u of 30 transformers with different aging degrees rmax , peak time t peak , initial slope s r Average value over charging interval As the initial database for establishing the standard insulation level status indicator vector table. Another four transformers with different insulation levels are selected as the objects to be diagnosed, as shown in Table 2, and the method is applied. Example:

[0063] Table 2 Measurement information and actual conditions of transformers to be evaluated

[0064]

[0065] According to step S2, through the fuzzy C-means clustering method, the database is divided into 4 groups of data, corresponding to 4 insulation levels, as shown in Table 3.

[0066] Table 3 Standard Vector Table of Insulation State Classification

[0067]

[0068] According to step S3, the weights of different evaluation indicators are calculated based on the scale extension method. According to the exi...

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PUM

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Abstract

The invention relates to a graded diagnosis method for an insulating state of power transformer oiled paper. The method comprises the following steps of S1, establishing a recovery voltage database ofthe transformer; S2, according to the recovery voltage database, performing insulating grade dividing by means of fuzzy C mean value clustering; S3, according to the recovery voltage database, calculating the weight of an evaluation index based on a scale expansion method; and S4, according to the insulating grade dividing obtained in the S2 and the weight of the evaluation index obtained in theS3, diagnosing the insulating grade of the to-be-evaluated transformer based on an improved ideal diagnosis method. The graded diagnosis method can realize graded diagnosis to the insulating state ofthe power transformer oiled paper, and the diagnosis result accords with the actual condition of the transformer. The graded diagnosis method has high accuracy, high reliability and high engineering application prospect.

Description

technical field [0001] The invention relates to a method for grading and diagnosing the oil-paper insulation state of a power transformer. Background technique [0002] At present, most of the state evaluation of transformer oil-paper insulation is to extract some characteristic quantities in the operation of the transformer (such as dissolved gas in oil, acid value in insulating oil, water content, etc.), and use mathematical methods to comprehensively evaluate the insulation state. Related studies have comprehensively evaluated the state of oil-paper insulation through fuzzy comprehensive evaluation methods, rough sets, and evidence theory. Specific grading and grading diagnostic methods. Contents of the invention [0003] In view of this, the object of the present invention is to provide a hierarchical diagnosis method for the oil-paper insulation state of a power transformer. Based on the transformer recovery voltage test data of different insulation states, combined ...

Claims

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Application Information

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IPC IPC(8): G01R31/02G01R31/00G06K9/62
CPCG01R31/003G01R31/62G06F18/23G06F18/211
Inventor 邹阳林超群叶荣何津何倩玲
Owner FUZHOU UNIVERSITY
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