Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Eldi F. Nasution
  • Rahman A. Prasojo
  • Suwarno
  • Tobias Kinkeldey
  • Peter Werle

Externe Organisationen

  • Institut Teknologi Bandung (ITB)
  • PT PLN (Persero) Kantor Pusat
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781538674567
PublikationsstatusVeröffentlicht - Okt. 2018
Veranstaltung4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Solo, Indonesien
Dauer: 29 Okt. 201831 Okt. 2018

Abstract

The power plant system produces energy to be transmitted to load center through transmission system and distribution system. The transformer connects these three systems by converting the voltage level of each system. Fault on the transformer will disrupt the power supply to the load center. To maintain the availability of the transformer, the asset owner must be able to manage the transformer assets optimally. The condition of the transformer should be monitored for appropriate maintenance with the component fault. The condition of the transformer is determined by the condition of the paper insulation. The condition of paper insulation is difficult to measure directly since it requires high cost and potentially damage the transformer components. This paper shows the attempt to determine paper insulation condition without direct measurement on paper insulation. Calculation of the prediction of paper insulation condition is based on dielectric characteristics and DGA data in oil insulation of transformer. This calculation will use the fuzzy logic algorithm.

Zitieren

Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm. / Nasution, Eldi F.; Prasojo, Rahman A.; Suwarno et al.
4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8739284.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Nasution, EF, Prasojo, RA, Suwarno, Kinkeldey, T & Werle, P 2018, Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm. in 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings., 8739284, Institute of Electrical and Electronics Engineers Inc., 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018, Solo, Indonesien, 29 Okt. 2018. https://doi.org/10.1109/ICPERE.2018.8739284
Nasution, E. F., Prasojo, R. A., Suwarno, Kinkeldey, T., & Werle, P. (2018). Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm. In 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings Artikel 8739284 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPERE.2018.8739284
Nasution EF, Prasojo RA, Suwarno, Kinkeldey T, Werle P. Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm. in 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8739284 doi: 10.1109/ICPERE.2018.8739284
Nasution, Eldi F. ; Prasojo, Rahman A. ; Suwarno et al. / Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm. 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018.
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title = "Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm",
abstract = "The power plant system produces energy to be transmitted to load center through transmission system and distribution system. The transformer connects these three systems by converting the voltage level of each system. Fault on the transformer will disrupt the power supply to the load center. To maintain the availability of the transformer, the asset owner must be able to manage the transformer assets optimally. The condition of the transformer should be monitored for appropriate maintenance with the component fault. The condition of the transformer is determined by the condition of the paper insulation. The condition of paper insulation is difficult to measure directly since it requires high cost and potentially damage the transformer components. This paper shows the attempt to determine paper insulation condition without direct measurement on paper insulation. Calculation of the prediction of paper insulation condition is based on dielectric characteristics and DGA data in oil insulation of transformer. This calculation will use the fuzzy logic algorithm.",
keywords = "Acidity, Carbondioxide, Carbonmonoxide, Degree of polymerization, Fuzzy logic algorithm, Insulation, Interfacial tension, Oil, Paper, Transformer",
author = "Nasution, {Eldi F.} and Prasojo, {Rahman A.} and Suwarno and Tobias Kinkeldey and Peter Werle",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 ; Conference date: 29-10-2018 Through 31-10-2018",
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AU - Nasution, Eldi F.

AU - Prasojo, Rahman A.

AU - Suwarno,

AU - Kinkeldey, Tobias

AU - Werle, Peter

N1 - Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2018/10

Y1 - 2018/10

N2 - The power plant system produces energy to be transmitted to load center through transmission system and distribution system. The transformer connects these three systems by converting the voltage level of each system. Fault on the transformer will disrupt the power supply to the load center. To maintain the availability of the transformer, the asset owner must be able to manage the transformer assets optimally. The condition of the transformer should be monitored for appropriate maintenance with the component fault. The condition of the transformer is determined by the condition of the paper insulation. The condition of paper insulation is difficult to measure directly since it requires high cost and potentially damage the transformer components. This paper shows the attempt to determine paper insulation condition without direct measurement on paper insulation. Calculation of the prediction of paper insulation condition is based on dielectric characteristics and DGA data in oil insulation of transformer. This calculation will use the fuzzy logic algorithm.

AB - The power plant system produces energy to be transmitted to load center through transmission system and distribution system. The transformer connects these three systems by converting the voltage level of each system. Fault on the transformer will disrupt the power supply to the load center. To maintain the availability of the transformer, the asset owner must be able to manage the transformer assets optimally. The condition of the transformer should be monitored for appropriate maintenance with the component fault. The condition of the transformer is determined by the condition of the paper insulation. The condition of paper insulation is difficult to measure directly since it requires high cost and potentially damage the transformer components. This paper shows the attempt to determine paper insulation condition without direct measurement on paper insulation. Calculation of the prediction of paper insulation condition is based on dielectric characteristics and DGA data in oil insulation of transformer. This calculation will use the fuzzy logic algorithm.

KW - Acidity

KW - Carbondioxide

KW - Carbonmonoxide

KW - Degree of polymerization

KW - Fuzzy logic algorithm

KW - Insulation

KW - Interfacial tension

KW - Oil

KW - Paper

KW - Transformer

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 29 October 2018 through 31 October 2018

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