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dc.contributor.authorTbaileh, Ahmad Ananen_US
dc.date.accessioned2014-07-02T08:00:52Z
dc.date.available2014-07-02T08:00:52Z
dc.date.issued2014-07-01en_US
dc.identifier.othervt_gsexam:3055en_US
dc.identifier.urihttp://hdl.handle.net/10919/49261
dc.description.abstractIn this thesis, we apply nonlinear Koopman mode analysis to decompose the swing dynamics of a power system into modes of oscillation, which are identified by analyzing the Koopman operator, a linear infinite-dimensional operator that may be defined for any nonlinear dynamical system. Specifically, power system modes of oscillation are identified through spectral analysis of the Koopman operator associated with a particular observable. This means that they can be determined directly from measurements. These modes, referred to as Koopman modes, are single-frequency oscillations, which may be extracted from nonlinear swing dynamics under small and large disturbances. They have an associated temporal frequency and growth rate. Consequently, they may be viewed as a nonlinear generalization of eigen-modes of a linearized system. Koopman mode analysis has been also applied to identify coherent swings and coherent groups of machines of a power system. This will allow us to carry out a model reduction of a large-scale system and to derive a precursor to monitor the loss of transient stability.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectpower system stabilityen_US
dc.subjectcoherency identificationen_US
dc.subjectmodal analysisen_US
dc.subjectmodel reductionen_US
dc.titlePower System Coherency Identification Using Nonlinear Koopman Mode Analysisen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical Engineeringen_US
dc.contributor.committeechairMili, Lamine M.en_US
dc.contributor.committeememberBaumann, William T.en_US
dc.contributor.committeememberEvrenosoglu, Cansin Yamanen_US


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