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DC poleHodnotaJazyk
dc.contributor.authorMajka, Łukasz
dc.contributor.authorPaszek, Stefan
dc.contributor.editorUlrych, Bohuš
dc.date.accessioned2017-04-03T08:20:38Z
dc.date.available2017-04-03T08:20:38Z
dc.date.issued2007
dc.identifier.citationAMTEE ’07 : seventh international conference on Advanced Methods in the Theory of Electrical Engineering : September 10-12, 2007 [Pilsen, Czech Republic].en
dc.identifier.isbn978-80-7043-564-9
dc.identifier.urihttp://amtee.zcu.cz/AMTEE/ArchivedProceedings/proceedings_AMTEE_2007/data/section_i.html
dc.identifier.urihttp://hdl.handle.net/11025/25806
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.rights© University of West Bohemiaen
dc.subjectdynamická stabilita napájecích systémůcs
dc.subjectoptimalizacecs
dc.subjectstudium dynamických modelůcs
dc.titleComputations of the electrical part of Rybnik power plant generating unit parameters based on measurementsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe paper presents the methodology and results of the generator and electromachine excitation system model parameters computations. The computations were based on real dynamic waveforms obtained from possible to perform in Rybnik Power Plant measurements of the generator steady state disturbed with different test disturbances. The disturbances used for parameters estimation are a load rejection test and a step change in AVR voltage reference value by +/- 5%. The voltage controller was operating (automatic control) during the test. The methodology of parameter determination consists in performing a number of simulations and comparing the simulation results with test results. The estimation process is iterative and in each iteration the model parameters are changed so that the simulated response becomes as close as possible to the test results. In the effect, the parameter estimation problem is transformed into an optimisation one, where the objective function is defined as the squared deviations between the test and simulation results and then it is locally minimised using the large-scale, trust-region, reflective Newton gradient algorithm. The methodology of filtering measurement signals recorded is also given in the paper.en
dc.subject.translateddynamic stability of power systemsen
dc.subject.translatedoptimizationen
dc.subject.translatedstudy of dynamic modelsen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:CPEE – AMTEE 2007
CPEE – AMTEE 2007

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