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dc.contributor.authorVeleba, Jan
dc.contributor.editorMühlbacher, Jan
dc.date.accessioned2017-02-15T10:32:18Z
dc.date.available2017-02-15T10:32:18Z
dc.date.issued2010
dc.identifier.citationProceedings of the Intensive Programme 2010. 1st ed. Pilsen: University of West Bohemia. Faculty of electrical engineering. Department of electrical power engineering and environmental engineering, 2010, s. 144-148. ISBN 978-80-261-0010-2.en
dc.identifier.isbn978-80-261-0010-2
dc.identifier.urihttp://home.zcu.cz/~tesarova/IP/Proceedings/Proc_2010/index.htm
dc.identifier.urihttp://hdl.handle.net/11025/22564
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemia. Faculty of electrical engineering. Department of electrical power engineering and environmental engineeringen
dc.rights© University of West Bohemiaen
dc.subjectNewton-Raphsonova metodacs
dc.subjectalgoritmuscs
dc.subjectstabilitacs
dc.titleStability algorithms for Newton-Raphson method in load flow analysisen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper deals with possible algorithms, which may ensure numerical stability of Newton-Raphson method in load flow analysis. Although the Newton-Raphson method is frequently used, it may have difficulties to obtain convergence. Oscillations, divergence or even convergence to unfeasible solutions may appear using traditional procedures. Therefore, various techniques (such as update truncation, factor relaxation, etc.) can be broadly employed to increase the reliability of the results obtained. The aim of this paper is to find the best available stability algorithm providing solutions with minimum number of iterations and lowest CPU time requirements.en
dc.subject.translatedNewton-Raphson methoden
dc.subject.translatedalgorithmen
dc.subject.translatedstabilityen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Proceedings of the intensive programme 2010
Proceedings of the intensive programme 2010

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