Reliability assessment of transformer thermal model parameters estimated from measured data

L. Jauregui - Rivera, D. J. Tylavsky

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

Abstract

This paper presents a methodology to assess the reliability of substation distribution transformer thermal model parameters estimated from measured data. The methodology uses statistical bootstrapping to assign a measure of reliability to the estimated parameters using confidence levels (CL) and confidence intervals (CI). The bootstrapping technique, which is used to make a small data sample look statistically large, allows a precise estimate of transformer reliability. The proposed methodology is tested on a 28 MVA transformer for which different data sets are available. The CI's are evaluated for both cases: with and without bootstrapping and the reliability indices compared. The results show that the CI values with bootstrapping are more consistently reproducible than the ones derived without bootstrapping.

Original languageEnglish (US)
Title of host publicationProceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
Pages52-58
Number of pages7
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
Event37th Annual North American Power Symposium, 2005 - Ames, IA, United States
Duration: Oct 23 2005Oct 25 2005

Publication series

NameProceedings of the 37th Annual North American Power Symposium, 2005
Volume2005

Other

Other37th Annual North American Power Symposium, 2005
CountryUnited States
CityAmes, IA
Period10/23/0510/25/05

Keywords

  • Bootstrapping
  • Confidence intervals
  • Confidence levels
  • Hot-spot temperature
  • Least squares
  • Parameter estimation
  • Top-oil temperature
  • Transformer thermal modeling

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Jauregui - Rivera, L., & Tylavsky, D. J. (2005). Reliability assessment of transformer thermal model parameters estimated from measured data. In Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006 (pp. 52-58). [1560501] (Proceedings of the 37th Annual North American Power Symposium, 2005; Vol. 2005). https://doi.org/10.1109/NAPS.2005.1560501