Title :
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
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;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Conference_Location :
Kunming, China
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1067759
