Title :
The effect of quantization and sampling time on transformers thermal performance and parameters calculation
Author :
Tylavsky, D.J. ; He, Q. ; Si, J. ; McCulla, G.A. ; Hunt, J.R.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
Improving the utilization of transformers requires that the hot-spot and top-oil temperatures (HSTs and TOTs) be predicted accurately. Our experimentation with various discretization schemes and models, proved that many of the linear and nonlinear semi-physical and nonphysical models we were using to predict transformer TOT were correctly modeling the TOT behavior. Our experience convinced us that noisy input data and the absence of data on significant driving variables, not model deficiencies, were frustrating our attempts to reduce the prediction error further. In this paper, we discuss the body of research that leads us to these conclusions
Keywords :
parameter estimation; power transformers; thermal analysis; discretization schemes; hot-spot temperature prediction; linear models; noisy input data; nonlinear semi-physical models; nonphysical models; prediction error reduction; quantization effect; sampling time effect; thermal performance; top-oil temperature prediction; transformer parameters calculation; transformers; ANSI standards; Differential equations; Monitoring; Petroleum; Predictive models; Quantization; Sampling methods; Temperature measurement; Thermal engineering; Transformers;
Conference_Titel :
Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5589-X
DOI :
10.1109/IAS.1999.801676
