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Internal transformer composite-defect fuzzy diagnostic method based on gas dissolved in oil

A diagnostic method and transformer technology, applied in transformer/inductance components, transformer testing, instruments, etc., can solve problems such as inability to diagnose, absolute criterion boundaries, etc.

Active Publication Date: 2015-06-24
STATE GRID CORP OF CHINA +2
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method that can effectively solve the problems of absolute criterion boundary and inability to diagnose composite defects in the traditional analysis of dissolved gas in oil, can comprehensively utilize various characteristic quantity information, and can effectively improve the defect failure rate. Fuzzy Diagnosis Method of Transformer Internal Composite Defects Based on Dissolved Gas in Oil for Diagnosis Reliability

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  • Internal transformer composite-defect fuzzy diagnostic method based on gas dissolved in oil
  • Internal transformer composite-defect fuzzy diagnostic method based on gas dissolved in oil
  • Internal transformer composite-defect fuzzy diagnostic method based on gas dissolved in oil

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Embodiment 1

[0142] The chromatographic test data of a certain transformer oil (volume concentration of 5 characteristic gases and total hydrocarbons, in μL / L) are shown in Table 4.

[0143] Table 4 Chromatography test data of a certain transformer oil

[0144] test date c 4 (H 2 ) c 3 (CH 4 ) c 5 (C 2 h 6 ) c 2 (C 2 h 4 ) c 1 (C 2 h 2 ) c z (total hydrocarbons) 2012.4.26 31.33 10.52 1.98 4.01 6.09 22.60

[0145] It can be seen from Table 4 that the transformer is abnormal if the volume concentration of acetylene exceeds the attention value.

[0146] 1. Calculate the four ratios separately:

[0147] ,

[0148] ,

[0149] ,

[0150] ;

[0151] 2. According to (Formula 1) to (Formula 11), through calculation, the probability of coding each ratio of the four ratios is obtained:

[0152] f-code0(r 1 )=0; f-code1(r 1 )=1; f-code2(r 1 )=0.004;

[0153] f-code0(r 2 )=1; f-code1(r 2 )=0.0051; f-code2(r 2 )...

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Abstract

The invention discloses an internal transformer composite-defect fuzzy diagnostic method based on gas dissolved in oil. The method comprises the following step that monitoring data of volume concentration of monitored five-kind of characteristic gas are obtained; a ratio code is confirmed; modification is carried out on three ratio methods; fuzzification is carried out on a boundary range; a probability of the ratio code is calculated; a probability of failure occurrence caused by each defect is calculated, and finally a failure type of a transformer is obtained. The method has the advantages that the method is simple, easy to achieve, and particularly suitable for being applied to a transformer state on-line monitoring system; based on the concept of the fuzzy logic, the diagnosis of the composite defects of the transformer in a complicated state can be achieved, the evaluation of the severe degree can be achieved, and the mutation problem caused by the boundary absolutization is effectively avoided; fusion analysis is carried out on an attention value, a specific value and multi-feature information of the gas dissolved in the oil, and the reliability of the diagnosis is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of power transformers, and relates to a fuzzy diagnosis method for complex internal defects of transformers based on dissolved gas in oil. Background technique [0002] The power transformer is an important equipment in the power system, which is of great significance to the safe and reliable operation of the power grid. Its routine test is an important means to discover potential hidden dangers of the transformer in time and avoid sudden accidents. Among them, the transformer oil chromatography test is a very effective method. The test, which contains a wealth of equipment insulation status information, can find defects such as internal discharge of transformers, local overheating, and insulation damp, and is widely used in power systems. Accurately diagnosing the internal defects of transformers helps to determine the location and type of equipment defects, which has always been a key to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01R31/12
CPCG01N33/2841G01R31/62H01F27/402G01F25/00
Inventor 高树国范辉陈志勇潘瑾刘宏亮赵军
Owner STATE GRID CORP OF CHINA
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