Details
| Original language | English |
|---|---|
| Title of host publication | 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9781538674567 |
| Publication status | Published - Oct 2018 |
| Event | 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Solo, Indonesia Duration: 29 Oct 2018 → 31 Oct 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.
Keywords
- Acidity, Carbondioxide, Carbonmonoxide, Degree of polymerization, Fuzzy logic algorithm, Insulation, Interfacial tension, Oil, Paper, Transformer
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Energy(all)
- Renewable Energy, Sustainability and the Environment
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
Sustainable Development Goals
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4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8739284.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Estimation of the degree of polymerization (DP) in oil-paper insulation system based on dielectric and DGA data using fuzzy logic algorithm
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
UR - http://www.scopus.com/inward/record.url?scp=85068573110&partnerID=8YFLogxK
U2 - 10.1109/ICPERE.2018.8739284
DO - 10.1109/ICPERE.2018.8739284
M3 - Conference contribution
AN - SCOPUS:85068573110
BT - 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2018
Y2 - 29 October 2018 through 31 October 2018
ER -