Effect of quantization and sampling time on transformers thermal performance and parameters calculation

Daniel Tylavsky, Q. He, Jennie Si, G. A. McCulla, J. R. Hunt

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

1 Scopus citations

Abstract

Improving the utilization of transformers requires that the hot-spot and top-oil temperatures (HST's and TOT's) be predicted accurately. Our experimentation with various discretization schemes and models, proved that many of the linear and nonlinear semi-physical and non-physical 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.

Original languageEnglish (US)
Title of host publicationConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
PublisherIEEE
Pages1345-1351
Number of pages7
Volume2
StatePublished - 1999
EventProceedings of the 1999 IEEE Industry Applications Conference - 34th IAS Annual Meeting - Phoenix, AZ, USA
Duration: Oct 3 1999Oct 7 1999

Other

OtherProceedings of the 1999 IEEE Industry Applications Conference - 34th IAS Annual Meeting
CityPhoenix, AZ, USA
Period10/3/9910/7/99

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Tylavsky, D., He, Q., Si, J., McCulla, G. A., & Hunt, J. R. (1999). Effect of quantization and sampling time on transformers thermal performance and parameters calculation. In Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) (Vol. 2, pp. 1345-1351). IEEE.