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dc.contributor.advisorEl-Sharkawi, Mohamed Aen_US
dc.contributor.authorKim, Dong-Eoken_US
dc.date.accessioned2014-10-13T20:02:17Z
dc.date.submitted2014en_US
dc.identifier.otherKim_washington_0250E_13136.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/26421
dc.descriptionThesis (Ph.D.)--University of Washington, 2014en_US
dc.description.abstractAn individual wind turbine has trivial influence on existing power systems owing to its very small percentage of the total generation. In contrast, wind power plants (WPPs) that have large numbers of wind turbines in relatively small areas have significant impacts on the power systems, and thus their influence must be considered in the studies. This dissertation is of developing suitable dynamic models of WPPs for power system dynamics study. In this dissertation, dynamic equivalent models (DEMs) for large scale WPPs are proposed for the dynamics study. As the dynamics of a WPP are the resultant dynamics of interconnected multiple wind turbines, its DEM is developed based on the knowledge of individual wind turbines and their interactions. In addition, as the dynamics of individual wind turbines are related to their control scheme, this study explains how to achieve an optimized control scheme for them with the use of the DEM. For a certain purpose in which a WPP is considered as an external system for dynamics study of a power system, its DEM can be developed based on measurements at point of interconnection without any pre-knowledge of the WPP. For the case, this dissertation also proposes a DEM developed using an adaptive system identification method. In addition, this study explains how to model an adequate power system for simulation tests. The validities of the proposed DEMs developed in this dissertation are verified by the simulation results with the power system model.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subjectdynamic equivalent; induction generator; system identification; wind energy; wind power planten_US
dc.subject.otherElectrical engineeringen_US
dc.subject.otherelectrical engineeringen_US
dc.titleDevelopment of Dynamic Equivalent Models for Large Scale Wind Power Plantsen_US
dc.typeThesisen_US
dc.embargo.termsRestrict to UW for 2 years -- then make Open Accessen_US
dc.embargo.lift2016-10-02T20:02:17Z


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