Observability method for the least median of squares estimator as applied to power systems

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dc.contributor.authorCheniae, Michael G.en
dc.contributor.committeechairMili, Lamine M.en
dc.contributor.committeechairPhadke, Arun G.en
dc.contributor.committeememberDe La Ree, Jaimeen
dc.contributor.departmentElectrical Engineeringen
dc.date.accessioned2014-03-14T21:42:37Zen
dc.date.adate2009-08-14en
dc.date.available2014-03-14T21:42:37Zen
dc.date.issued1991-06-13en
dc.date.rdate2009-08-14en
dc.date.sdate2009-08-14en
dc.description.abstractThe formulation of an accurate data base consisting of system state variable values is an initial and critical step in the economical and secure operation of modern power systems. The Least Median of Squares (LMS) estimator is ideal in the sense that it can provide a good state estimate despite high percentages of bad data and multiple bad leverage points. The estimator is, however, computationally intensive. In this thesis, an efficient algorithm is developed and implemented to increase the overall speed of the LMS estimator. The algorithm generates measurement samples in a manner that allows use of the resampling technique i.e., they make the system observable and also ensure that each measurement has a nearly equal probability of appearing in each of the measurement samples.en
dc.description.degreeMaster of Scienceen
dc.format.extentvii, 79 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-08142009-040309en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08142009-040309/en
dc.identifier.urihttp://hdl.handle.net/10919/44212en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1991.C5465.pdfen
dc.relation.isformatofOCLC# 24344508en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1991.C5465en
dc.subject.lcshPower resources -- Researchen
dc.subject.lcshVoltage regulators -- Researchen
dc.titleObservability method for the least median of squares estimator as applied to power systemsen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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