TY - JOUR
T1 - Acceptability of four transformer top-oil thermal models-part I
T2 - Defining metrics
AU - Jauregui-Rivera, Lida
AU - Tylavsky, Daniel
N1 - Funding Information:
Manuscript received July 26, 2006. This work was supported in part by the Salt River Project, in part by Arizona Public Service, and in part by PSERC. Paper no. TPWRD-00416-2006. The authors are with Arizona State University, Tempe, AZ 85287-5706 USA (e-mail: Lida.Jauregui-Rivera@aps.com; tylavsky@asu.edu). Digital Object Identifier 10.1109/TPWRD.2007.905555
PY - 2008/4
Y1 - 2008/4
N2 - 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.
AB - 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.
KW - ANSI C5791
KW - Top-oil temperature
KW - Transformer
KW - Transformer thermal modeling
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U2 - 10.1109/TPWRD.2007.905555
DO - 10.1109/TPWRD.2007.905555
M3 - Article
AN - SCOPUS:42249085921
SN - 0885-8977
VL - 23
SP - 860
EP - 865
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 2
ER -