Transformer internal insulation aging diagnosis method based on multi-feature information fusion technology
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A diagnostic method and transformer technology, applied in transformer testing, instrumentation, measuring electrical variables, etc., can solve the problems of few reference information features, insufficient diagnostic reliability and accuracy, etc., achieve high judgment accuracy and increase information utilization , the effect of improving reliability and accuracy
Active Publication Date: 2013-03-20
CHONGQING UNIV +2
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Its shortcomings are: few reference information featu
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Embodiment 1
[0072] Taking the determination of the weights of various indicators among the oil quality factors, namely the water content in oil, oil acid value, oil dielectric loss, oil interfacial tension, and oil dielectric strength as an example: the relative importance judgment matrix obtained by five experts is :
[0073] ,
[0074] ,
[0075]
[0076] The relative weight of the factors is determined by the IAHP method: by Get the antisymmetric matrix:
[0077]
[0078] Empathy , k =2~5, from the overall standard deviation Both are less than 1 to determine that the opinions of the expert group are relatively concentrated, so the antisymmetric matrix can be calculated average array ,in , i , j =1,...,5
[0079]
[0080] Matrix B does not necessarily have consistency, use the IAHP method to construct the matrix ,in , it can be seen from the previous analysis that it is consistent, and thus the final group judgment matrix is obtained W* :
[008...
Embodiment 2
[0086] There is a transformer of type SFPSZ1 and its nameplate table 1:
[0087] Table 1 nameplate information
[0088] model SFPSZ1 Serial number 09003.4 Voltage 220KV Date of manufacture Year 2009 capacity 120000KVA factory Xi'an Electric Furnace Transformer Factory oil species 25＃ Operation date September 2009
[0089] Table 2 shows the actual values of each index data operation of the transformer for a maintenance monitoring:
[0090] index actual value Relative degree of deterioration Furfural content 0.05μL / L 0.02 H2 content 40μL / L 0.27 C2H6 content 2.5μL / L 0.03 CH4 content 7.7μL / L 0.06 C2H4 content 10μL / L 0.06 C2H2 content 0.1μL / L 0.02 CO content 230.2μL / L 0.16 CO2 content 1200μL / L 0.09 total hydrocarbon gas yield 1.7% 0.17 oil moisture content 7.8μL / L 0.31 Oleic acid value 0.04mg KOH / g 0.4 Oil medium loss (90°C) ...
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Abstract
The invention relates to a transformer internal insulation aging diagnosis method based on a multi-feature information fusion technology, which comprises the following steps: 1) selecting feature quantities and obtaining feature quantity values; 2) normalizing the feature quantities by adopting a calculation method with relative impairment grade; 3) determining a weighted value of each feature quantity; 4) obtaining a relative impairment grade value of transformer whole internal insulation; and 5) judging the aging degree of a transformer according to the relative impairment grade value of the transformer whole inner insulation. Through the transformer internal insulation aging diagnosis method, the same type of information is fused together, and a technology of useful information with more features or more accurate useful information is obtained from the same type of information to accurately judge the transformer internal insulation aging degree. The transformer internal insulation aging diagnosis method has the beneficial effects that the utilization rate of the information can be increased, the credibility and the accuracy of the infused information are improved, the different feature quantities can be selected as required, and the various feature quantities are endowed with the corresponding weighted values; and the applicability is strong, and the judgment accuracy is high.
Description
technical field [0001] The invention relates to a diagnostic method for a transformer, in particular to a diagnostic method for insulation aging in a transformer. Background technique [0002] Power transformers are important equipment in power systems, with complex internal structures and uneven distribution of electric fields. As the voltage level increases, the accident rate tends to rise. According to statistics, there are several major transformer accidents in China every year, causing direct economic losses of millions of yuan. In addition, according to the statistical analysis results of the national power reliability released by the China Electricity Council Electric Power Reliability Management Center in recent years, the part with the highest failure rate is the internal insulation of the transformer. Poor, transformer manufacturing quality problems. As the main equipment of the power system, the failure of the transformer not only brings great losses to itself, ...
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