Enhancements in vector fitting implementation by using stopping criterion, frequency partitioning and model order reduction

Thomas Campello

doi:10.1016/j.ijepes.2020.105905

Enhancements in vector fitting implementation by using stopping criterion, frequency partitioning and model order reduction

2020-09-01

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Thomas Campello *

S

Sergio Luis Varricchio

DOI：10.1016/j.ijepes.2020.105905

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Abstract

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The Vector Fitting (VF) technique has become a mature rational approximation tool. This paper proposes two enhancements that increase the VF computational efficiency, resulting in reduced CPU time while maintaining a desired precision of the approximation. The first enhancement consists of a stopping criterion to automatically interrupt the VF iterative process when the fitting error does not vary significantly. The second one is based on frequency partition and order reduction of the rational model. The computational gain by the proposed enhancements is verified via fitting of a multi-input multi-output test system of considerable complexity that includes transmission lines modelled as distributed-parameter lines.

Keywords:

Vector Fitting

Rational models

Frequency partitioning

Model order reduction

Stopping criterion

Enhancements in vector fitting implementation by using stopping criterion, frequency partitioning and model order reduction

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