Modelling equivalent thermal dynamics of power transformers using genetic algorithms

Author

Tang, W.H. ; Spurgeon, K. ; Wu, Q.H. ; Richardson, Z.J.

Author_Institution

Dept. of Electr. Eng. & Electron., Liverpool Univ., UK

Volume

3

fYear

2002

fDate

13-17 Oct. 2002

Firstpage

1396

Abstract

In this paper, a fifth-order system model, generated using a thermoelectric analogy, is proposed for modelling the thermal dynamics of a natural oil, natural air (ONAN) and forced oil, forced air (OFAF) cooled power transformer. A genetic algorithm is then utilised, to identify the thermal model parameters, based on a few on-site measurements. Performance results of the thermoelectric model are presented with a comparison of the outcome from a recursive artificial neural network procedure.

Keywords

cooling; equivalent circuits; genetic algorithms; power transformers; thermal analysis; equivalent thermal dynamics modelling; fifth-order system model; forced air cooling; forced oil cooling; genetic algorithms; natural air cooling; natural oil cooling; power transformers; recursive artificial neural network procedure; thermal model parameters; thermoelectric analogy; Artificial neural networks; Circuits; Genetic algorithms; IEC; Petroleum; Power system dynamics; Power system modeling; Power transformers; Resistance heating; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on

Conference_Location

Kunming, China

Print_ISBN

0-7803-7459-2

Type

conf

DOI

10.1109/ICPST.2002.1067759

Filename

1067759