Adaptation and Installation of a Robust State Estimation Package in the Eef Utility

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dc.contributor.authorChapman, Michael Addisonen
dc.contributor.committeechairMili, Lamine M.en
dc.contributor.committeememberVanLandingham, Hugh F.en
dc.contributor.committeememberBroadwater, Robert P.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:32:26Zen
dc.date.adate1999-04-20en
dc.date.available2014-03-14T20:32:26Zen
dc.date.issued1999-02-08en
dc.date.rdate1999-04-20en
dc.date.sdate1999-03-08en
dc.description.abstractRobust estimation methods have been successfully applied to the problem of power system state estimation in a real-time environment. The Schweppe-type GM-estimator with the Huber psi-function (SHGM) has been fully installed in conjunction with a topology processor in the EEF utility, headquartered in Fribourg, Switzerland. Some basic concepts of maximum likelihood estimation and robust analysis are reviewed, and applied to the development of the SHGM-estimator. The algorithms used by the topology processor and state estimator are presented, and the superior performance of the SHGM-estimator over the classic weighted least squares estimator is demonstrated on the EEF network. The measurement configuration of the EEF network has been evaluated, and suggestions for its reinforcement have been proposed.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-030899-022103en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-030899-022103/en
dc.identifier.urihttp://hdl.handle.net/10919/31432en
dc.publisherVirginia Techen
dc.relation.haspartEtd.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSHGM-estimatoren
dc.subjectReal-time installationen
dc.subjectEEF Utilityen
dc.subjectRobust state estimationen
dc.subjectPower systemsen
dc.titleAdaptation and Installation of a Robust State Estimation Package in the Eef Utilityen
dc.typeThesisen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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