A Comparison of Model-Order Reduction Techniques for Multiphase Transmission Line Systems

Craig J. Ramlal, Salim Ibrir, Arvind Singh, Sean Rocke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Transmission line models for simulations are necessaryfor designing and controlling modern power systems. However, the orders of these models are very large and theirsimulations are recognized to be computationally intensive. Thispaper compares ten model-order reduction methods with eightmeasures for a three phase transmission line system. Two testcases were developed, the first forces all model-order reductionmethods to reduce the original system to a reduced system withthe same order and the second keeps a constant chosen errorbound and compares the performance of the reduced obtainedsystems. The main differences between the different proceduresare identified and illustrated on quantitative levels.

Original languageEnglish
Title of host publicationProceedings - 2016 8th International Conference on Computational Intelligence and Communication Networks, CICN 2016
EditorsG.S. Tomar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages459-465
Number of pages7
ISBN (Electronic)9781509011445
DOIs
StatePublished - 24 Oct 2017

Publication series

NameProceedings - 2016 8th International Conference on Computational Intelligence and Communication Networks, CICN 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Functional and signal norms measures
  • Model-order Reduction (MoR)
  • System theory
  • Three phase transmission system

ASJC Scopus subject areas

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications

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