Frequency Monitoring Network (FNET) Algorithm Improvements and Application Development

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dc.contributor.authorXia, Taoen
dc.contributor.committeechairLiu, Yiluen
dc.contributor.committeememberLeech, Irene E.en
dc.contributor.committeememberConners, Richard W.en
dc.contributor.committeememberDe La Ree, Jaimeen
dc.contributor.committeememberCenteno, Virgilio A.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2017-04-06T15:44:36Zen
dc.date.adate2010-01-22en
dc.date.available2017-04-06T15:44:36Zen
dc.date.issued2009-12-07en
dc.date.rdate2016-10-18en
dc.date.sdate2009-12-21en
dc.description.abstractThe Internet Based real-time GPS synchronized wide-area Frequency Monitoring Network (FNET) is an extremely low cost and quickly deployable wide-area frequency measurement system with high dynamic accuracy which consists of Frequency Disturbance Recorder (FDR) distributed to more than 100 places around North America and an Information Management System situated at Virginia Tech. Since its first FDR deployment in 2003, the FNET system has been proved to be able to reliably receive phasor data accurately measured at and instantaneously sent via the Internet from different locations of interest, and efficiently run the analyzing program to detect and record significant system disturbances and subsequently estimate the location of disturbance center, namely the event location, in the electric grid based on the information gathered. The excellent performance of the FNET system so far has made power grid situation awareness and monitoring based on distribution level frequency measurements a reality, and thus advances our understanding of power system dynamics to a higher level and in a broader dimensionality. Chapter 1 and Chapter 2 of this dissertation briefly introduce the genesis and the architecture of the FNET system, followed by a summary of its concrete implementations. Chapter 3 and Chapter 4 outline FNET frequency estimation algorithm and phase angle estimation algorithm, including their attributes and the new methodologies to enhance them. In Chapter 5, the report discusses the algorithms developed at FNET to detect the frequency disturbance and estimate the disturbance location by the triangulation procedure using real-time frequency data and geographic topology of the FNET units in the power grid where the disturbance occurs. Then, the dissertation proceeds to introduce the FNET angle-based power system oscillation detection and present some research about Matrix Pencil Modal Analysis of FNET phase angle oscillation data in the following two chapters. Lastly, the content of this report is summarized and the future work envisioned in Chapter 8.en
dc.description.degreePh. D.en
dc.identifier.otheretd-12212009-182011en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12212009-182011/en
dc.identifier.urihttp://hdl.handle.net/10919/77296en
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectFNETen
dc.subjectEvent Location Estimationen
dc.subjectModal Analysisen
dc.subjectPhase Angle Algorithmen
dc.subjectAngle-based Oscillation Detectionen
dc.titleFrequency Monitoring Network (FNET) Algorithm Improvements and Application Developmenten
dc.typeDissertationen
dc.type.dcmitypeTexten
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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