DocumentCode :
645691
Title :
Model screening metrics for thermal models of substation distribution transformers
Author :
Shruti Rao ; Ming Zhang ; Tylavsky, Daniel
Author_Institution :
Sch. of Electr. Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
fYear :
2013
fDate :
22-24 Sept. 2013
Firstpage :
1
Lastpage :
6
Abstract :
Dynamic loading of transformers is the term used when the loading capacity is calculated using an appropriate thermal model while taking into account the load magnitude, load shape, thermal limits and external cooling conditions. For transformer dynamic loading, the aim is to estimate the transformer´s maximum dynamic loading capacity without violating the hottest-spot temperature (HST) and top-oil temperature (TOT) thermal limits. These two temperatures are proxy measures of insulation temperature, which can be used to estimate the loss of service life. The accuracy of the TOT and HST predictions is dependent on many things, central to which is the accuracy of the thermal model. This paper introduces metrics that can be used to differentiate between reliable and unreliable transformer thermal models. The two models discussed in this paper for HST and TOT are the non-linear IEEE model and the model developed by the authors using linear regression methods.
Keywords :
power transformers; regression analysis; substations; HST; TOT; dynamic loading capacity; external cooling conditions; hottest-spot temperature; insulation temperature; linear regression; load magnitude; load shape; nonlinear IEEE model; proxy measures; screening metrics; substation distribution transformers; thermal limits; thermal models; top-oil temperature; transformer dynamic loading; Cooling; Data models; Load modeling; Mathematical model; Reliability; Temperature measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2013
Conference_Location :
Manhattan, KS
Type :
conf
DOI :
10.1109/NAPS.2013.6666841
Filename :
6666841
Link To Document :
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