Acceptability of four transformer top-oil thermal models-part I: Defining metrics

Lida Jauregui-Rivera, Daniel Tylavsky

Research output: Contribution to journalArticle

39 Scopus citations

Abstract

Eventually, the prediction of transformer thermal performance for dynamic loading will be made using models distilled from measured data, rather than models derived from transformer heat-run tests. Which model(s) will be used for this purpose remains unclear. In this paper, we introduce metrics for measuring the acceptability of transformer thermal models. For a model to be acceptable, it must have the qualities of adequacy, accuracy, and consistency. We assess model adequacy using the metrics: prediction R2 and plot of residuals against fitted values. To assess model consistency, we use the variance inflation factor (which measures multicollinearity), condition number, eigenstructure, parameter sensitivity, and the standard deviation of model parameters and predicted maximum steady-state load max. To assess model accuracy, we use the comparison of model parameters with nominal values and error duration curves. Other metrics of interest are also introduced. In a companion paper, these metrics are applied to the four models defined in this paper and a relative ranking of the acceptability of these models is presented.

Original languageEnglish (US)
Pages (from-to)860-865
Number of pages6
JournalIEEE Transactions on Power Delivery
Volume23
Issue number2
DOIs
StatePublished - Apr 1 2008

Keywords

  • ANSI C5791
  • Top-oil temperature
  • Transformer
  • Transformer thermal modeling

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Acceptability of four transformer top-oil thermal models-part I: Defining metrics'. Together they form a unique fingerprint.

  • Cite this