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dc.contributor.advisorSteven B. Leeb.en_US
dc.contributor.authorOrji, Uzoma Aen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2014-06-13T22:33:56Z
dc.date.available2014-06-13T22:33:56Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/87933
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 354-362).en_US
dc.description.abstractThe U.S. Department of Energy has identified "sensing and measurement" as one of the "five fundamental technologies" essential for driving the creation of a "Smart Grid". Consumers will need "simple, accessible..., rich, useful information" to help manage their electrical consumption without interference in their lives. There is a need for flexible, inexpensive metering technologies that can be deployed in many different monitoring scenarios. Individual loads may be expected to compute information about their power consumption. New utility meters will need to communicate bidirectionally, and may need to compute parameters of power flow not commonly assessed by most current meters. These meters may be called upon to perform not only energy score-keeping, but also assist with condition-based maintenance. They may potentially serve as part of the utility protection gear. And they may be called upon to operate in new environments, e.g., non-radial distribution systems as might be found on microgrids or warships. This thesis makes contributions in three areas of condition-based maintenance and protection in electric distribution systems. First, this thesis presents a diagnostic tool for tracking non-integer harmonics on the utility. The tool employs a modified algorithm to enhance the capability of the Fast Fourier Transform (FFT) to determine the precise frequency of a newly detected harmonic. The efficacy of the tool is demonstrated with field applications detecting principal slot harmonics for speed estimation and diagnostics. Second, data from nonintrusive monitors have been shown to be valuable for power systems design. This thesis presents a new behavioral modeling framework developed for microgrid-style shipboard power system design using power observations from the ship's electrical distribution service. Metering can be used to inform new designs or update maintenance parameters on existing ship power systems. Finally, nonintrusive metering allows for new possibilities for adaptive fault protection. Adaptive thresholding of voltage magnitude, angle and harmonic content will be demonstrated for improving protection schemes currently used in ship electrical distribution systems.en_US
dc.description.statementofresponsibilityby Uzoma Orji.en_US
dc.format.extent362 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleCondition based monitoring and protection in electrical distribution systemsen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc880143902en_US


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