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dc.contributor.advisorHuang, Garng M.en_US
dc.creatorLei, Jianshengen_US
dc.date.accessioned2010-01-14T23:59:32Zen_US
dc.date.accessioned2010-01-16T01:35:26Z
dc.date.available2010-01-14T23:59:32Zen_US
dc.date.available2010-01-16T01:35:26Z
dc.date.created2007-05en_US
dc.date.issued2009-05-15en_US
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1292
dc.description.abstractPower industry is undergoing a transition from the traditional regulated environment to the competitive power market. To have a reliable state estimator (SE) in the power market environment, two major challenges are emerging, i.e. to keep SE running reliably even under a contingency and to run SE over a grid with extremely large size. The objective of this dissertation is to use graph theory to address the above two challenges. To keep SE running reliably under a contingency, a novel topological approach is first proposed to identify critical measurements and examine network observability under a contingency. To advance the classical topological observability analysis, a new concept of contingency observability graph (COG) is introduced and it is proven that a power system network maintains its observability under a contingency if and only if its COG satisfies some conditions. As an application of COG, a two-stage heuristic topological approach is further developed based on the new concept of qualified COG (QCOG) to minimize the number of measurements and RTUs under the constraint that the system remains observable under any single contingency. To overcome the disadvantages of existing SE over extremely large networks, a textured distributed state estimator (DSE), which consists of the off-line textured architecture design and the on-line textured computation, is proposed based on COG and a new concept of Bus Credibility Index (BCI). The textured DSE is non-recursive, asynchronous and avoids central controlling node. Numerical tests verify that the performance of the new textured DSE algorithm improves greatly compared with existing DSE algorithms in respect of bad data detection and identification. Furthermore, the software implementation for DSE is formulated as an information integration problem over regional power markets, and is very challenging because of its size and complexity. A new concept of semantic knowledge warehouse (SKW), together with the proposed concepts of semantic reasoning software component (SRSC) and deduction credibility, is developed to implement such an information integration system.en_US
dc.format.mediumelectronicen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.subjectGraph Theoryen_US
dc.subjectState Estimationen_US
dc.subjectPower Systemen_US
dc.subjectPower Marketen_US
dc.subjectContingencyen_US
dc.subjectInformation Integrationen_US
dc.subjectTextured Distributed Algorithmen_US
dc.subjectData Exchangeen_US
dc.titleUsing graph theory to resolve state estimator issues faced by deregulated power systemsen_US
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineElectrical Engineeringen_US
thesis.degree.grantorTexas A&M Universityen_US
thesis.degree.nameDoctor of Philosophyen_US
thesis.degree.levelDoctoralen_US
dc.contributor.committeeMemberHalverson, Don R.en_US
dc.contributor.committeeMemberNelson, Paulen_US
dc.contributor.committeeMemberSingh, Chananen_US
dc.type.genreElectronic Dissertationen_US
dc.type.materialtexten_US
dc.format.digitalOriginborn digitalen_US


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