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

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dc.contributor.advisorFolly, Komla Aen_ZA
dc.contributor.advisorPetroianu, Alexander Ien_ZA
dc.contributor.authorKaberere, Keren Kanuthuen_ZA
dc.date.accessioned2014-07-31T10:55:30Z
dc.date.available2014-07-31T10:55:30Z
dc.date.issued2006en_ZA
dc.descriptionIncludes bibliographical references.
dc.description.abstractThere 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.en_ZA
dc.identifier.apacitationKaberere, K. K. (2006). <i>Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5197en_ZA
dc.identifier.chicagocitationKaberere, Keren Kanuthu. <i>"Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2006. http://hdl.handle.net/11427/5197en_ZA
dc.identifier.citationKaberere, K. 2006. Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Kaberere, Keren Kanuthu AB - 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. DA - 2006 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2006 T1 - Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools TI - Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools UR - http://hdl.handle.net/11427/5197 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5197
dc.identifier.vancouvercitationKaberere KK. Variations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation tools. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2006 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5197en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleVariations in modeling and algorithmic factors impacting on small-signal stability results : assessment of five industrial-grade power system simulation toolsen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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