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Enhancing the accuracy of rational function-based models using optimization

Abstract

Rational function approximations are widely used for the modelling of frequency-dependent effects in power system components. This paper proposes to use optimization by the damped Gauss–Newton method to improve the accuracy of rational approximations calculated by three mainstream fitting techniques: Bode's asymptotic approximation, Sanathanan–Koerner iteration, and vector fitting. The optimization method is described in detail along with an outline of the numerical implementation. The proposed methodology is demonstrated for a synthetic example for the modelling of a measured reactor frequency response and for the rational fitting of the frequency-dependent parameters corresponding to a single-phase transmission line. In this example, we also present the impact of the optimization enhancement on the final time domain responses.

Category

Academic article

Language

English

Author(s)

  • Eduardo Salvador Bañuelos-Cabral
  • José Alberto Gutiérrez-Robles
  • Bjørn Gustavsen
  • José Luis Naredo
  • Jorge Luis García-Sánchez
  • Julian Sotelo-Castañon
  • Verónica Adriana Galván-Sánchez

Affiliation

  • Mexico
  • University of Guadalajara
  • SINTEF Energy Research / Energisystemer

Year

2015

Published in

Electric power systems research

ISSN

0378-7796

Volume

125

Page(s)

83 - 90

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