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dc.contributor.authorLewandowski, Michał
dc.contributor.authorMaciążek, Marcin
dc.contributor.authorPasko, Marian
dc.contributor.editorKropík, Petr
dc.date.accessioned2017-04-07T09:06:20Z
dc.date.available2017-04-07T09:06:20Z
dc.date.issued2011
dc.identifier.citationAMTEE ’11 : tenth international conference on Advanced Methods in the Theory of Electrical Engineering : September 06-09, 2011 [Cheb, Czech Republic], p. VII-3-4.en
dc.identifier.isbn978-80-7043-993-7
dc.identifier.urihttp://cpee.zcu.cz/AMTEE/ArchivedProceedings.aspx
dc.identifier.urihttp://hdl.handle.net/11025/25931
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.rights© University of West Bohemiaen
dc.subjectharmonická analýza prouděnícs
dc.subjectfrekvenční analýzacs
dc.subjectMatlabcs
dc.subjectPCFLOcs
dc.subjectPostgresSQLcs
dc.titleIntegration of harmonic flow analysis software with database of non-linear loadsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedPaper presents algorithm for frequency model estimation of non-linear loads. Algorithm takes time based waveforms (current, voltage) from the database (PostgresSQL) and using one of the Fourier analysis methods evaluates the amplitudefrequency and phase-frequency characteristics of the load. These characteristics can be used in further frequency analysis (Matlab/PCFLO) of a power network containing non-linear loads. Performed tests showed that the signals should be sampled synchronously with the signal base frequency or this frequency must be determined with high accuracy to obtain reliable results.en
dc.subject.translatedharmonic flow analysisen
dc.subject.translatedfrequency analysisen
dc.subject.translatedMatlaben
dc.subject.translatedPCFLOen
dc.subject.translatedPostgresSQLen
dc.type.statusPeer-revieweden
Appears in Collections:CPEE – AMTEE 2011

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