Identification, Analysis, and Control of Power System Events Using Wide-Area Frequency Measurements

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dc.contributor.authorWang, Joshua Kevinen
dc.contributor.committeecochairThorp, James S.en
dc.contributor.committeecochairLiu, Yiluen
dc.contributor.committeememberGugercin, Serkanen
dc.contributor.committeememberConners, Richard W.en
dc.contributor.committeememberBaumann, William T.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:07:38Zen
dc.date.adate2009-03-05en
dc.date.available2014-03-14T20:07:38Zen
dc.date.issued2009-01-27en
dc.date.rdate2012-03-27en
dc.date.sdate2009-02-19en
dc.description.abstractThe power system has long been operated in a shroud of introspection. Only recently have dynamic, wide-area time synchronized grid measurements brought to light the complex relationships between large machines thousands of miles apart. These measurements are invaluable to understanding the health of the system in real time, for disturbances to the balance between generation and load are manifest in the propagation of electromechanical waves throughout the grid. The global perspective of wide-area measurements provides a platform from which the destructive effects of these disturbances can be avoided. Virginia Tech's distributed network of low voltage frequency monitors, FNET, is able to track these waves as they travel throughout the North American interconnected grids. In contrast to other wide-area measurement systems, the ability to easily measure frequency throughout the grid provides a way to identify, locate, and analyze disturbances with high dynamic accuracy. The unique statistical properties of wide-area measurements require robust tools in order to accurately understand the nature of these events. Expert systems and data conditioning can then be used to quantify the magnitude and location of these disturbances without requiring any knowledge of the system state or topology. Adaptive application of these robust methods form the basis for real-time situational awareness and control. While automated control of the power system rarely utilize wide-area measurements, global insight into grid behavior can only improve disturbance rejection.en
dc.description.degreePh. D.en
dc.identifier.otheretd-02192009-060559en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-02192009-060559/en
dc.identifier.urihttp://hdl.handle.net/10919/26250en
dc.publisherVirginia Techen
dc.relation.haspartMAIN.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPower Systemsen
dc.subjectPattern Recognitionen
dc.subjectWide-Area Monitoring and Controlen
dc.titleIdentification, Analysis, and Control of Power System Events Using Wide-Area Frequency Measurementsen
dc.typeDissertationen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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