DocumentCode
3013119
Title
Transformer hot-spot temperature estimation for short-time dynamic loading
Author
Josue, F. ; Arifianto, I. ; Saers, R. ; Rosenlind, Johanna ; Hilber, Patrik ; Suwarno
Author_Institution
Sekolah Teknik Elektro dan Informatika, Inst. Teknol. Bandung (ITB), Bandung, Indonesia
fYear
2012
fDate
23-27 Sept. 2012
Firstpage
217
Lastpage
220
Abstract
On the transformer, the effect of thermal stress is aging of the solid insulation. Excessive thermal stress could damage the solid insulation. To avoid this, transformer condition monitoring systems could use thermal models to forecast the operating temperatures during dynamic loading. There are several thermal models of varying complexity, including the thermal models stipulated by the IEC and IEEE standards. In this paper, the thermal model which is referred to by IEC Std. 60076-7 as the differential method, is modified, so it accounts for the oil viscosity dependence on temperature. The model is validated using hot-spot temperature measurements from a 40-MVA transformer, OFAF-cooled, 21/115 kV which is located in the subarctic climate region.
Keywords
IEC standards; IEEE standards; power transformer insulation; temperature measurement; IEC Std 60076-7; IEC standards; IEEE standards; OFAF; apparent power 40 MVA; differential method; hot-spot temperature measurements; oil viscosity dependence; short-time dynamic loading; solid insulation; subarctic climate region; thermal stress; transformer condition monitoring systems; transformer hot-spot temperature estimation; voltage 115 kV; voltage 21 kV; Difference equations; Load modeling; Mathematical model; Oil insulation; Temperature; Temperature measurement; Temperature sensors; hot-spot temperature; oil viscosity; thermal model; transformer; winding losses;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4673-1019-2
Type
conf
DOI
10.1109/CMD.2012.6416414
Filename
6416414
Link To Document