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Comparison of threes linearization methods
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2008 (English)In: Proceedings of 16th Power System Computation Conference, Power Systems Computation Conference ( PSCC ) , 2008Conference paper, Published paper (Refereed)
Abstract [en]

Eigenvalues of a power system give a picture of the stability in the current operating point. The eigenvalues are calculated from the system matrix of a dynamic system. To create the system matrix, the dynamic system has to be linearized and to do that, linearization methods are utilized. Three linearization methods are compared in the paper. The performance of two software which use two of the methods are also compared and evaluated. It is shown how the linearization methods influence the results. Conclusions drawn from eigenvalue analysis are thus not only dependent on the properties of the investigated system, but also on used linearization method. It is shown how results obtained from three engineers working in parallel, studying the same power system but using three different linearization methods differ.

Place, publisher, year, edition, pages
Power Systems Computation Conference ( PSCC ) , 2008.
Keyword [en]
Eigenvalues, Linear Analysis, Linearization Methods, PSS/E, Simpow, Small-signal Stability
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-52717Scopus ID: 2-s2.0-84944097149OAI: oai:DiVA.org:kth-52717DiVA: diva2:467519
Conference
PSCC2008, 16:th Power System Computation Conference. Glasgow, Scotland. July 14-18, 2008
Note

QC 20111221

QC 20150314

Available from: 2012-01-27 Created: 2011-12-19 Last updated: 2016-03-14Bibliographically approved

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Söder, Lennart

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Output format
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