Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 21st International Symposium on High Voltage Engineering - Volume 1 |
| Publisher | Springer Nature |
| Pages | 926-936 |
| Number of pages | 11 |
| ISBN (electronic) | 978-3-030-31676-1 |
| ISBN (print) | 9783030316754 |
| Publication status | Published - 2020 |
| Event | 21st International Symposium on High Voltage Engineering, ISH 2019 - Budapest, Hungary Duration: 26 Aug 2019 → 30 Aug 2019 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 598 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (electronic) | 1876-1119 |
Abstract
The condition of the transformer insulation determines the remaining life of the transformer. Over the transformer service life, both liquid and solid insulation undergoes a continuous aging process under electrical, chemical, mechanical and thermal stresses. The insulating liquid of a transformer can be reconditioned or replaced; however, this is not the case for the cellulose insulation. Therefore, the condition of the paper insulation is the major factor for determining the aging status of a transformer. To assess the paper condition, the common method is to measure the degree of polymerization (DP) of the paper insulation as a significant parameter. This method is destructive as it requires a sample of paper from inside of the transformer. Therefore, it could not be applied for transformers in operation. There are several approaches to approximate the DP value without direct measurements of paper samples. This research presents an improved method based on a fuzzy logic system for the estimation of the DP based on dissolved gases and chemical parameters of the liquid insulation. The algorithm is developed to create the rules for the use of fuzzy sets based on the information gain extracted by the entropy of the laboratory measurement data. This algorithm employs entropy to examine the sample homogeneity. Entropy is a measure of information theory that can determine the dataset characteristics concerning impurity and homogeneity. The algorithm uses fuzzy sets of oil parameters like Acidity, Interfacial Tension (IFT), Carbon Dioxide (CO2) and Carbon Monoxide (CO) and the breakdown voltage (BDV) for determination of the DP value.
Keywords
- DP value, Fuzzy logic algorithm, Paper ageing
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
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Proceedings of the 21st International Symposium on High Voltage Engineering - Volume 1. Springer Nature, 2020. p. 926-936 (Lecture Notes in Electrical Engineering; Vol. 598 LNEE).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Estimation of the Ageing Condition of Oil-Filled Transformers Based on the Oil Parameters Using a Novel Fuzzy Logic Algorithm
AU - Kinkeldey, Tobias
AU - Münster, Tobias
AU - Werle, Peter
AU - Suwarno,
AU - Hämel, Kai
AU - Preusel, Jörg
N1 - Funding information: Acknowledgments. The authors would like to express their graduate to GRIDINSPECT GmbH and AiF/ZiM for the financial support as well as Weidmann Electrical Technology AG for the support with insulation materials and Analysen Service GmbH Leipzig for the analysis. Furthermore, the authors would like to thank the company ABB for the provision of comparative data. The authors would like to express their graduate to GRIDINSPECT GmbH and AiF/ZiM for the financial support as well as Weidmann Electrical Technology AG for the support with insulation materials and Analysen Service GmbH Leipzig for the analysis. Furthermore, the authors would like to thank the company ABB for the provision of comparative data.
PY - 2020
Y1 - 2020
N2 - The condition of the transformer insulation determines the remaining life of the transformer. Over the transformer service life, both liquid and solid insulation undergoes a continuous aging process under electrical, chemical, mechanical and thermal stresses. The insulating liquid of a transformer can be reconditioned or replaced; however, this is not the case for the cellulose insulation. Therefore, the condition of the paper insulation is the major factor for determining the aging status of a transformer. To assess the paper condition, the common method is to measure the degree of polymerization (DP) of the paper insulation as a significant parameter. This method is destructive as it requires a sample of paper from inside of the transformer. Therefore, it could not be applied for transformers in operation. There are several approaches to approximate the DP value without direct measurements of paper samples. This research presents an improved method based on a fuzzy logic system for the estimation of the DP based on dissolved gases and chemical parameters of the liquid insulation. The algorithm is developed to create the rules for the use of fuzzy sets based on the information gain extracted by the entropy of the laboratory measurement data. This algorithm employs entropy to examine the sample homogeneity. Entropy is a measure of information theory that can determine the dataset characteristics concerning impurity and homogeneity. The algorithm uses fuzzy sets of oil parameters like Acidity, Interfacial Tension (IFT), Carbon Dioxide (CO2) and Carbon Monoxide (CO) and the breakdown voltage (BDV) for determination of the DP value.
AB - The condition of the transformer insulation determines the remaining life of the transformer. Over the transformer service life, both liquid and solid insulation undergoes a continuous aging process under electrical, chemical, mechanical and thermal stresses. The insulating liquid of a transformer can be reconditioned or replaced; however, this is not the case for the cellulose insulation. Therefore, the condition of the paper insulation is the major factor for determining the aging status of a transformer. To assess the paper condition, the common method is to measure the degree of polymerization (DP) of the paper insulation as a significant parameter. This method is destructive as it requires a sample of paper from inside of the transformer. Therefore, it could not be applied for transformers in operation. There are several approaches to approximate the DP value without direct measurements of paper samples. This research presents an improved method based on a fuzzy logic system for the estimation of the DP based on dissolved gases and chemical parameters of the liquid insulation. The algorithm is developed to create the rules for the use of fuzzy sets based on the information gain extracted by the entropy of the laboratory measurement data. This algorithm employs entropy to examine the sample homogeneity. Entropy is a measure of information theory that can determine the dataset characteristics concerning impurity and homogeneity. The algorithm uses fuzzy sets of oil parameters like Acidity, Interfacial Tension (IFT), Carbon Dioxide (CO2) and Carbon Monoxide (CO) and the breakdown voltage (BDV) for determination of the DP value.
KW - DP value
KW - Fuzzy logic algorithm
KW - Paper ageing
UR - http://www.scopus.com/inward/record.url?scp=85076834077&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-31676-1_87
DO - 10.1007/978-3-030-31676-1_87
M3 - Conference contribution
AN - SCOPUS:85076834077
SN - 9783030316754
T3 - Lecture Notes in Electrical Engineering
SP - 926
EP - 936
BT - Proceedings of the 21st International Symposium on High Voltage Engineering - Volume 1
PB - Springer Nature
T2 - 21st International Symposium on High Voltage Engineering, ISH 2019
Y2 - 26 August 2019 through 30 August 2019
ER -