Synchrophasor-Only Dynamic State Estimation & Data Conditioning

Simple item page
dc.contributor.authorJones, Kevin Daviden
dc.contributor.committeechairThorp, James S.en
dc.contributor.committeememberGardner, Robert Matthewen
dc.contributor.committeememberShukla, Sandeep K.en
dc.contributor.committeememberPrather, Carl L.en
dc.contributor.committeememberCenteno, Virgilio A.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2015-02-22T07:00:10Zen
dc.date.available2015-02-22T07:00:10Zen
dc.date.issued2013-08-30en
dc.description.abstractA phasor-only estimator carries with it intrinsic improvements over its SCADA analogue with respect to performance and reliability. However, insuring the quality of the data stream which leaves the linear estimator is crucial to establishing it as the front end of an EMS system and network applications which employ synchrophasor data. This can be accomplished using a two-fold solution: the pre-processing of phasor data before it arrives at the linear estimator and the by developing a synchrophasor-only dynamic state estimator as a mechanism for bad data detection and identification. In order to realize these algorithms, this dissertation develops a computationally simple model of the dynamics of the power system which fits neatly into the existing linear state estimation formulation. The algorithms are then tested on field data from PMUs installed on the Dominion Virginia Power EHV network.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:879en
dc.identifier.urihttp://hdl.handle.net/10919/51548en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSynchrophasoren
dc.subjectState Estimationen
dc.subjectPower Systemen
dc.titleSynchrophasor-Only Dynamic State Estimation & Data Conditioningen
dc.typeDissertationen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Jones_KD_D_2013.pdf
Size:
16.48 MB
Format:
Adobe Portable Document Format
Download

Collections

Doctoral Dissertations