DocumentCode
2231536
Title
A new model for predicting hottest-spot temperature in transformers
Author
Amoda, Oluwaseun A. ; Tylavsky, Daniel J. ; McCulla, Gary A. ; Knuth, Wesley A.
Author_Institution
Arizona State Univ., Tempe, AZ, USA
fYear
2008
fDate
28-30 Sept. 2008
Firstpage
1
Lastpage
8
Abstract
This paper presents an investigation into the adequacy of the IEEE hottest-spot temperature (HST) model, when the model parameters are to be determined from measured field data. Because of the inadequacy of this model, a modified version of the IEEE HST is proposed to account for the effects of dynamic variations of the top-oil temperature (TOT) on HST. The calculation of HST traditionally relies on a balanced load assumption. For the practical case when the load is unbalanced, equations are developed to estimate the individual load profile on each phase from the HST on each phase and the total load. The IEEE HST model and its modified version are used to estimate the parameters of two different transformers. The results of the parameter estimations are provided and conclusions about the two models are drawn.
Keywords
IEEE standards; parameter estimation; power transformers; IEEE hottest-spot temperature model; hottest-spot temperature prediction; parameter estimations; power transformers; top-oil temperature; Digital relays; EMTDC; Graphical user interfaces; PSCAD; Power system relaying; Power system simulation; Predictive models; System testing; Temperature; Transformers; Hottest-spot temperature; top-oil temperaturetransformer; transformer thermal model;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Symposium, 2008. NAPS '08. 40th North American
Conference_Location
Calgary, AB
Print_ISBN
978-1-4244-4283-6
Type
conf
DOI
10.1109/NAPS.2008.5307407
Filename
5307407
Link To Document