Abstract
Transformer loading is quite crucial for industry as it has significant influence on transformer insulation deterioration as well as its remained life. Transformer load monitoring even becomes more substantial once transformer is operated in high ambient temperatures. Having real-time information about transformer thermal stress and insulation medium is indeed necessity. An intelligent system should be developed to monitor the transformer condition and giving online information on transformer insulation deterioration. Hence, this study is concentrated on an online prognosis system predicting transformer aging rate as well as remained life. Cast-resin transformer thermal modeling is discussed and influences of load and ambient temperature are investigated. Prognosis software is developed based on introduced model and transformer aging rate is examined through different simulation studies. At the end, developed prognosis system is utilized to keep the transformer aging rate on a specific value in course of transformer operating period. Different simulations on this plan are carried out and results are discussed.
Original language | English |
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Title of host publication | IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1158-1163 |
Number of pages | 6 |
ISBN (Electronic) | 9781479917624 |
DOIs | |
Publication status | Published - Jan 25 2016 |
Externally published | Yes |
Event | 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan Duration: Nov 9 2015 → Nov 12 2015 |
Other
Other | 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 |
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Country/Territory | Japan |
City | Yokohama |
Period | 11/9/15 → 11/12/15 |
Keywords
- Online transformer assessment
- Prognosis
- Temperature
- Thermal evaluation
- Transformer efficiency
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering