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Structured Model Reduction of Power Systems
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-4125-1055
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-1835-2963
2012 (English)In: 2012 American Control Conference (ACC), American Automatic Control Council , 2012, 2276-2282 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper shows how structured model order reduction can be applied to power systems. For power systems divided into a study area and an external area, the proposed algorithm can be used to reduce the external area to a low order linear system, while retaining the nonlinear description of the study system. The reduction of the external area is done in such a way that the study system is affected as little as possible. It is shown that a lower model order can be attained when information about the study system is taken into consideration, than if the external system is reduced independently of it

Place, publisher, year, edition, pages
American Automatic Control Council , 2012. 2276-2282 p.
Series
Proceedings of the American Control Conference, ISSN 0743-1619
Keyword [en]
Model reduction of power systems, internal systems, structured model reduction
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-70211ISI: 000310776202093Scopus ID: 2-s2.0-84869382126ISBN: 978-1-4577-1096-4 (print)OAI: oai:DiVA.org:kth-70211DiVA: diva2:486091
Conference
2012 American Control Conference, ACC 2012; Montreal, QC;27 June 2012 through 29 June 2012
Funder
ICT - The Next GenerationStandUp
Note

QC 20120221

Available from: 2012-07-01 Created: 2012-01-30 Last updated: 2013-04-16Bibliographically approved

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Vanfretti, LuigiSandberg, Henrik

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  • apa
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