Simplified Transformer Winding Modelling and Parameter Identification Using Particle Swarm Optimiser with Passive Congregation

Authors:
Almas Shintemirov;W. H. Tang;Z. Lu;Q. H. Wu
Affiliations:
Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3GJ, U.K.;Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3GJ, U.K.;Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3GJ, U.K.;Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3GJ, U.K.
Venue:
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Year:
2009

Citing 3
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Abstract

The paper presents a simplified mathematical model of disc-type transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.