Construction of transformer core model for frequency response analysis with genetic algorithm

A. Shintemirov, W. H. Tang, Q. H. Wu

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

Abstract

This paper presents a novel model-based identification approach to determining laminated core parameters of power transformers on the basis of frequency response analysis (FRA) measurements. A genetic algorithm is employed for parameter identification of a transformer core model, established using the duality principle between magnetic and electrical circuits. A well-known lumped parameter model of a 3-phase transformer is used to simulate reference input impedance frequency responses for analyzing the identification accuracy of the proposed approach. It is suggested that the approach can be applied for transformer core modeling and FRA result interpretation at low frequencies.

Original languageEnglish
Title of host publication2009 IEEE Power and Energy Society General Meeting, PES '09
DOIs
Publication statusPublished - Dec 17 2009
Event2009 IEEE Power and Energy Society General Meeting, PES '09 - Calgary, AB, Canada
Duration: Jul 26 2009Jul 30 2009

Publication series

Name2009 IEEE Power and Energy Society General Meeting, PES '09

Other

Other2009 IEEE Power and Energy Society General Meeting, PES '09
CountryCanada
CityCalgary, AB
Period7/26/097/30/09

Keywords

  • Frequency response analysis
  • Genetic algorithm
  • Magnetic-electric duality principle
  • Parameter identification
  • Transformer core

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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