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Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools

Includes bibliographical references.

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Bibliographic Details
Main Author: Kaberere, Keren Kanuthu
Other Authors: Folly, Komla A
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Kaberere, Keren Kanuthu
author2 Folly, Komla A
author_browse Folly, Komla A
Kaberere, Keren Kanuthu
author_facet Folly, Komla A
Kaberere, Keren Kanuthu
author_sort Kaberere, Keren Kanuthu
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/5197
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:00.978Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5197 Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools Kaberere, Keren Kanuthu Folly, Komla A Petroianu, Alexander I Electrical Engineering Includes bibliographical references. There are several industrial-grade simulation tools, used for small-signal stability studies, that are commercially available on the market. However, these tools differ in their components modeling and solution methodology. Therefore, different simulation tools can give different results for the same power system model. In this thesis, five industrial-grde simulation tools - PSS/E, PowerFactory, EUROSTAG, SSAT, and MatNetEig - are investigated. The features and capabilities of the five tools are compared based on componenets modeling, numerical methodology, and tool flexibility in terms of data input and output. 2014-07-31T10:55:30Z 2014-07-31T10:55:30Z 2006 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/5197 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Kaberere, Keren Kanuthu
Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools
thesis_degree_str Doctoral
title Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools
title_full Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools
title_fullStr Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools
title_full_unstemmed Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools
title_short Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools
title_sort variations in modeling and algorithmic factors impacting on small signal stability results assessment of five industrial grade power system simulation tools
topic Electrical Engineering
url http://hdl.handle.net/11427/5197
work_keys_str_mv AT kabererekerenkanuthu variationsinmodelingandalgorithmicfactorsimpactingonsmallsignalstabilityresultsassessmentoffiveindustrialgradepowersystemsimulationtools