DocumentCode :
862705
Title :
Sensitivity of transformer´s hottest-spot and equivalent aging to selected parameters
Author :
Peterchuck, Doug ; Pahwa, Anil
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
Volume :
17
Issue :
4
fYear :
2002
fDate :
10/1/2002 12:00:00 AM
Firstpage :
996
Lastpage :
1001
Abstract :
In 1995, IEEE released a revised Transformer Loading Guide which includes an Annex G that contains an additional set of transformer temperature equations that incorporate oil-flow phenomena, changing ambient air temperature, and account for the change in resistivity of the winding due to heating. These new equations involve empirical exponent variables that account for properties of the transformer. This paper investigates sensitivity of hottest-spot temperature and equivalent aging of transformers with respect to these variables. By varying these variables under various load conditions and by Monte Carlo simulation with different probability distributions of these variables, their importance in the transformer model and their influence in modeling accuracy pertaining to the Annex G equations have been obtained.
Keywords :
Monte Carlo methods; ageing; power transformer insulation; probability; transformer oil; transformer windings; IEEE Transformer Loading Guide; Monte Carlo methods; ambient air temperature; insulation aging; oil-flow phenomena; power transformer; probability distributions; resistivity change; transformer equivalent aging; transformer hottest-spot and equivalent ageing sensitivity to selected parameters; transformer temperature equations; transformer windings; Aging; Breakdown voltage; Electric breakdown; Equations; Oil insulation; Power transformer insulation; Power transformers; Probability distribution; Temperature sensors; Windings;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2002.803708
Filename :
1046875
Link To Document :
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