Methods to detect incorrect fan status for transformer thermal models

Shruti Rao, Daniel Tylavsky, Ken Alteneder, Kenneth E. Brown, Jason Gunawardena, Thomas Larose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Transformers are seldom loaded to their maximum capacity as per the existing industry practices. The ultimate goal of this research project is to develop a method for predicting the maximum dynamic loading capability without violating the thermal limits of the transformer's insulation. Dynamic loading must account for, at minimum, load magnitude and shape, the ambient temperature, the external cooling conditions and the thermal limits. This paper discusses methods of detecting irregularities in the cooling mode transitions for substation distribution transformers. The two HST and TOT models considered in this paper are the non-linear IEEE model and the model built using linear regression techniques.

Original languageEnglish (US)
Title of host publication2014 North American Power Symposium, NAPS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959044
DOIs
StatePublished - Nov 21 2014
Event2014 North American Power Symposium, NAPS 2014 - Pullman, United States
Duration: Sep 7 2014Sep 9 2014

Publication series

Name2014 North American Power Symposium, NAPS 2014

Other

Other2014 North American Power Symposium, NAPS 2014
CountryUnited States
CityPullman
Period9/7/149/9/14

ASJC Scopus subject areas

  • Fuel Technology
  • Energy Engineering and Power Technology

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    Rao, S., Tylavsky, D., Alteneder, K., Brown, K. E., Gunawardena, J., & Larose, T. (2014). Methods to detect incorrect fan status for transformer thermal models. In 2014 North American Power Symposium, NAPS 2014 [6965406] (2014 North American Power Symposium, NAPS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAPS.2014.6965406