The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers

被引：24

作者：

Ghoneim, Sherif S. M. ^{[1
]}

机构：

[1] Taif Univ, Coll Engn, Elect Engn Dept, At Taif 21944, Saudi Arabia

来源：

ENERGIES | 2021年 / 14卷 / 03期

关键词：

furfuraldehyde; degree of polymerization; insulating paper; power transformers; correlation; multiple linear regression;

D O I：

10.3390/en14030670

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The aging of power transformers causes several defects and damages in the insulating system, especially in the insulating paper. The degradation of the insulating paper generates dissolved gases in the insulating oil, which are measured by gas chromatography and used as an indicator of the insulation status. The state of the insulating paper can be identified based on the degree of polymerization (DP) measurement. In some cases, when the measurement of DP is difficult, estimating DP can be accomplished through gathering information about some of the testing parameters, such as the dissolved gases (DGA), breakdown voltage (BDV), oil interfacial tension (IF), oil acidity (ACI), moisture content (MC), oil color (OC), dielectric loss (Tan delta), and furans concentration specifically (2-furfuraldhyde (FA)). The statistical tools (correlation and multiple linear regression), based on 131 transformer samples, can be used to build a relation linking DP and one or more of the previous parameters to identify the insulating paper status and the percentage of remaining life of the transformer. The results indicated that it is difficult to build a mathematical model to relate between the DP and the testing variables, except with FA, where the trend of DP with FA is more obvious than with other variables. The empirical formula to compute DP based on the FA concentration was developed and gave promising results to compute DP and the remaining life of the power transformers.

引用

页数：14

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