The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers
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 insulatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/3/670 |
| _version_ | 1797406234612072448 |
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| author | Sherif S. M. Ghoneim |
| author_facet | Sherif S. M. Ghoneim |
| author_sort | Sherif S. M. Ghoneim |
| collection | DOAJ |
| description | 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 δ), 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. |
| first_indexed | 2024-03-09T03:22:26Z |
| format | Article |
| id | doaj.art-5cbbbe48e0b34ed397a791052a2d8f14 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T03:22:26Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5cbbbe48e0b34ed397a791052a2d8f142023-12-03T15:06:38ZengMDPI AGEnergies1996-10732021-01-0114367010.3390/en14030670The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power TransformersSherif S. M. Ghoneim0Electrical Engineering Department, College of Engineering, Taif University, Taif 21944, Saudi ArabiaThe 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 δ), 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.https://www.mdpi.com/1996-1073/14/3/670furfuraldehydedegree of polymerizationinsulating paperpower transformerscorrelationmultiple linear regression |
| spellingShingle | Sherif S. M. Ghoneim The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers Energies furfuraldehyde degree of polymerization insulating paper power transformers correlation multiple linear regression |
| title | The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers |
| title_full | The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers |
| title_fullStr | The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers |
| title_full_unstemmed | The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers |
| title_short | The Degree of Polymerization in a Prediction Model of Insulating Paper and the Remaining Life of Power Transformers |
| title_sort | degree of polymerization in a prediction model of insulating paper and the remaining life of power transformers |
| topic | furfuraldehyde degree of polymerization insulating paper power transformers correlation multiple linear regression |
| url | https://www.mdpi.com/1996-1073/14/3/670 |
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