Blind Identification of the Electromechanical Modes of a Power System using a Wiener Model

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atmire.migration.oldid4253
dc.contributor.advisorWestwick, David
dc.contributor.advisorRosehart, William
dc.contributor.authorHossain, Tasnim
dc.contributor.committeememberZareipour, Hamidreza
dc.contributor.committeememberNowicki, Edwin Peter
dc.date.accessioned2016-04-29T14:37:43Z
dc.date.available2016-04-29T14:37:43Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractIn this thesis, a blind system identification technique using a Wiener model is used to estimate the power system modes. A Wiener model, a universal approximator consisting of a dynamic linear system followed by a memoryless nonlinear element, is used to estimate the power system nonlinearities. It also constructs a set of intermediate data, which can be used by a linear estimation technique such as subspace identification for estimating the power system electromechanical modes. In this research, a blind variant of a subspace method, Numerical Algorithm for Subspace State Space System IDentification (N4SID), is used. The algorithm is tested with simulation data from the Kundur two-area network. The accuracy and reliability of these estimates are accessed by carrying out Monte Carlo simulations. The estimated results obtained from the simulated system using a Wiener model were very accurate with reduced prediction errors and was a good fit for the power system.en_US
dc.identifier.citationHossain, T. (2016). Blind Identification of the Electromechanical Modes of a Power System using a Wiener Model (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25148en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25148
dc.identifier.urihttp://hdl.handle.net/11023/2912
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Electronics and Electrical
dc.subject.classificationElectromechanical modesen_US
dc.subject.classificationSystem Identificationen_US
dc.subject.classificationWiener Modelen_US
dc.subject.classificationPower Systemen_US
dc.subject.classificationN4SIDen_US
dc.titleBlind Identification of the Electromechanical Modes of a Power System using a Wiener Model
dc.typemaster thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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