TY - JOUR
T1 - Improving reliability assessment of transformer thermal top-oil model parameters estimated from measured data
AU - Jauregui-Rivera, Lida
AU - Mao, Xiaolin
AU - Tylavsky, Daniel
N1 - Funding Information:
Manuscript received September 06, 2007; revised May 09, 2008. Current version published December 24, 2008. This work was supported in part by the Salt River Project and in part by Arizona Public Service. Paper no. TPWRD-00537-2007. L. Jauregui-Rivera is with Arizona Public Service, Phoenix, AZ 85004 USA (e-mail: lida.Jauregui–Rivera@aps.com). X. Mao and D. J. Tylavsky are with the Arizona State University, Tempe, AZ 85287-5706 USA (e-mail: xiaolin.mao@asu.edu; tylavsky@asu.edu). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TPWRD.2008.2005686
PY - 2009
Y1 - 2009
N2 - This paper presents a methodology for assessing the reliability of thermal-model parameters for transformers estimated from measured data. The methodology uses statistical bootstrapping to calculate confidence levels (CL) and confidence intervals (CI). Bootstrapping allows us to make a small dataset look statistically larger, which allows a precise estimate of the transformer thermal model's reliability. The proposed methodology is tested on a 167-MVA oil-forced air-forced transformer. The CIs are evaluated with and without bootstrapping and the reliability indices are compared. The results show that the CI and CL values with bootstrapping are more consistently reproducible than the ones derived without bootstrapping.
AB - This paper presents a methodology for assessing the reliability of thermal-model parameters for transformers estimated from measured data. The methodology uses statistical bootstrapping to calculate confidence levels (CL) and confidence intervals (CI). Bootstrapping allows us to make a small dataset look statistically larger, which allows a precise estimate of the transformer thermal model's reliability. The proposed methodology is tested on a 167-MVA oil-forced air-forced transformer. The CIs are evaluated with and without bootstrapping and the reliability indices are compared. The results show that the CI and CL values with bootstrapping are more consistently reproducible than the ones derived without bootstrapping.
KW - Bootstrapping
KW - Confi-dence levels (CLs)
KW - Confidence intervals (CIs)
KW - Least squares regression
KW - Parameter estimation
KW - Top-oil temperature
KW - Transformer thermal modeling
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U2 - 10.1109/TPWRD.2008.2005686
DO - 10.1109/TPWRD.2008.2005686
M3 - Article
AN - SCOPUS:58249130248
SN - 0885-8977
VL - 24
SP - 169
EP - 176
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 1
ER -