Details
| Original language | English |
|---|---|
| Title of host publication | VDE-Fachtagung Hochspannungstechnik 2018 |
| Publisher | VDE Verlag GmbH |
| Pages | 303-308 |
| Number of pages | 6 |
| ISBN (electronic) | 9783800748075 |
| Publication status | Published - 2018 |
| Event | VDE-Fachtagung Hochspannungstechnik 2018 - VDE Conference on High Voltage Technology 2018 - Berlin, Germany Duration: 12 Nov 2018 → 14 Nov 2018 |
Publication series
| Name | VDE-Fachtagung Hochspannungstechnik 2018 |
|---|
Abstract
The most common parameter used for the determination of the condition of the widely used paper insulation is the Degree of Polymerization (DP). Since a paper sample is necessary for the DP measurement, it is not applicable for the determination of the paper quality of components that are in service. However, there are several approaches to derive the DP value without a direct measurement, e.g. analysing the fluid, which is used to impregnate the paper, thus typically an oil paper insulation is used in many HV components such as transformers. Today an estimation of the DP value is often done using the correlation between the furan content in the oil and the degradation of the paper. However, this often leads to a not accurate result, especially in cases, in which e.g. a local overheating creates at one spot severe deterioration of paper and therefore a high furan content. In such cases the furan content does not correlate with the average DP value of the whole insulation system, because it is a result of strongly aged paper at a single location only. Therefore, additional indirect methods are needed in order to obtain more reliable results regarding the DP of the whole insulation system. In this contribution therefore, a novel approach for predicting the DP value of paper insulation based on physicochemical characteristics is presented. Parameters like Acidity and Interfacial Tensile (IFT) of the insulating oil as well as Dissolved Gas Analysis (DGA) results, like the concentration of carbon monoxide (CO) and carbon dioxide (CO2) are evaluated by a special Fuzzy Logic System. A novel algorithm is implemented to create the rules for the fuzzy sets based on the information gain according to the entropy of the measured data as a measure to determine the data set characteristics.
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
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VDE-Fachtagung Hochspannungstechnik 2018. VDE Verlag GmbH, 2018. p. 303-308 (VDE-Fachtagung Hochspannungstechnik 2018).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Estimation of the degree of polymerization (DP) of oil-paper insulated transformers using a novel fuzzy logic algorithm
AU - Kinkeldey, Tobias
AU - Münster, Tobias
AU - Werle, Peter
AU - Nasution, Eldi F.
AU - Suwarno,
AU - Hämel, K.
AU - Preusel, J.
N1 - Publisher Copyright: © VDE VERLAG GMBH · Berlin · Offenbach Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - The most common parameter used for the determination of the condition of the widely used paper insulation is the Degree of Polymerization (DP). Since a paper sample is necessary for the DP measurement, it is not applicable for the determination of the paper quality of components that are in service. However, there are several approaches to derive the DP value without a direct measurement, e.g. analysing the fluid, which is used to impregnate the paper, thus typically an oil paper insulation is used in many HV components such as transformers. Today an estimation of the DP value is often done using the correlation between the furan content in the oil and the degradation of the paper. However, this often leads to a not accurate result, especially in cases, in which e.g. a local overheating creates at one spot severe deterioration of paper and therefore a high furan content. In such cases the furan content does not correlate with the average DP value of the whole insulation system, because it is a result of strongly aged paper at a single location only. Therefore, additional indirect methods are needed in order to obtain more reliable results regarding the DP of the whole insulation system. In this contribution therefore, a novel approach for predicting the DP value of paper insulation based on physicochemical characteristics is presented. Parameters like Acidity and Interfacial Tensile (IFT) of the insulating oil as well as Dissolved Gas Analysis (DGA) results, like the concentration of carbon monoxide (CO) and carbon dioxide (CO2) are evaluated by a special Fuzzy Logic System. A novel algorithm is implemented to create the rules for the fuzzy sets based on the information gain according to the entropy of the measured data as a measure to determine the data set characteristics.
AB - The most common parameter used for the determination of the condition of the widely used paper insulation is the Degree of Polymerization (DP). Since a paper sample is necessary for the DP measurement, it is not applicable for the determination of the paper quality of components that are in service. However, there are several approaches to derive the DP value without a direct measurement, e.g. analysing the fluid, which is used to impregnate the paper, thus typically an oil paper insulation is used in many HV components such as transformers. Today an estimation of the DP value is often done using the correlation between the furan content in the oil and the degradation of the paper. However, this often leads to a not accurate result, especially in cases, in which e.g. a local overheating creates at one spot severe deterioration of paper and therefore a high furan content. In such cases the furan content does not correlate with the average DP value of the whole insulation system, because it is a result of strongly aged paper at a single location only. Therefore, additional indirect methods are needed in order to obtain more reliable results regarding the DP of the whole insulation system. In this contribution therefore, a novel approach for predicting the DP value of paper insulation based on physicochemical characteristics is presented. Parameters like Acidity and Interfacial Tensile (IFT) of the insulating oil as well as Dissolved Gas Analysis (DGA) results, like the concentration of carbon monoxide (CO) and carbon dioxide (CO2) are evaluated by a special Fuzzy Logic System. A novel algorithm is implemented to create the rules for the fuzzy sets based on the information gain according to the entropy of the measured data as a measure to determine the data set characteristics.
UR - http://www.scopus.com/inward/record.url?scp=85082022621&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85082022621
T3 - VDE-Fachtagung Hochspannungstechnik 2018
SP - 303
EP - 308
BT - VDE-Fachtagung Hochspannungstechnik 2018
PB - VDE Verlag GmbH
T2 - VDE-Fachtagung Hochspannungstechnik 2018 - VDE Conference on High Voltage Technology 2018
Y2 - 12 November 2018 through 14 November 2018
ER -