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dc.contributor.advisorMeliopoulos, Sakis
dc.contributor.authorFan, Rui
dc.date.accessioned2016-08-22T12:24:31Z
dc.date.available2016-08-22T12:24:31Z
dc.date.created2016-08
dc.date.issued2016-07-26
dc.date.submittedAugust 2016
dc.identifier.urihttp://hdl.handle.net/1853/55659
dc.description.abstractThe objective of the proposed research is to detect transformer internal faults or transformer overheating and trip the transformer, with immunity to external faults for which tripping of the transformer is not required. A new transformer protection scheme based on dynamic state estimation has been proposed. Specifically, the proposed scheme continuously monitors transformer terminal voltages and currents and other measurable quantities such as tap settings, temperatures, etc. The measurement data are utilized in a dynamic state estimator of the transformer protection zone. The dynamic state estimation simply determines how well the measured data fit the dynamic model of the transformer. When the fit is within the accuracy of the meters by which the measurements are taking, the dynamic state estimator provides the true operating condition of the transformer. Discrepancies indicate an internal abnormality. The scheme takes decisions based on the operating conditions of the transformer. This scheme does not require any coordination with other protection functions. Several protection gaps, such as the coordination and settings of relays, have been resolved with proposed new method. The proposed method is secure, reliable, more sensitive and faster than legacy protection functions. The applications of the proposed protection method for future research are discussed.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectTransformer protection
dc.subjectDynamic state estimation
dc.subjectInternal fault
dc.titleTransformer protection based on dynamic state estimation
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentElectrical and Computer Engineering
thesis.degree.levelDoctoral
dc.contributor.committeeMemberTaylor, David
dc.contributor.committeeMemberZhang, Ying
dc.contributor.committeeMemberSaeedifard, Maryam
dc.contributor.committeeMemberSun, Andy
dc.date.updated2016-08-22T12:24:31Z


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