VTechWorks staff will be away for the winter holidays starting Tuesday, December 24, 2024, through Wednesday, January 1, 2025, and will not be replying to requests during this time. Thank you for your patience, and happy holidays!
 

Risk Assessment of Power System Catastrophic Failures and Hidden Failure Monitoring & Control System

Simple item page
dc.contributor.authorQiu, Qunen
dc.contributor.committeechairMili, Lamine M.en
dc.contributor.committeememberTranter, William H.en
dc.contributor.committeememberPhadke, Arun G.en
dc.contributor.committeememberNachlas, Joel A.en
dc.contributor.committeememberDe La Ree, Jaimeen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2011-08-22T18:52:41Zen
dc.date.adate2003-12-11en
dc.date.available2011-08-22T18:52:41Zen
dc.date.issued2003-12-09en
dc.date.rdate2004-12-11en
dc.date.sdate2003-12-11en
dc.description.abstractOne of the objectives of this study is to develop a methodology, together with a set of software programs that evaluate, in a power system, the risks of catastrophic failures caused by hidden failures in the hardware or software components of the protection system. The disturbance propagation mechanism is revealed by the analysis of the 1977 New York Blackout. The step-by-step process of estimating the relay hidden failure probability is presented. A Dynamic Event Tree for the risk-based analysis of system catastrophic failures is proposed. A reduced 179-bus WSCC sample system is studied and the simulation results obtained from California sub-system are analyzed. System weak links are identified in the case study. The issues relating to the load and generation uncertainties for the risk assessment of system vulnerabilities are addressed. A prototype system - the Hidden Failure Monitoring and Control System (HFMCS) - is proposed to mitigate the risk of power system catastrophic failures. Three main functional modules - Hidden Failure Monitoring, Hidden Failure Control and Misoperation Tracking Database - and their designs are presented. Hidden Failure Monitoring provides the basis that allows further control actions to be initiated. Hidden Failure Control is realized by using Adaptive Dependability/Security Protection, which can effectively stop possible relay involvement from triggering or propagating disturbance under stressed system conditions. As an integrated part of the HFMCS, a Misoperation Tracking Database is proposed to track the performance of automatic station equipment, hence providing automatic management of misoperation records for hidden failure analysis.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.otheretd-12112003-002453en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12112003-002453en
dc.identifier.urihttp://hdl.handle.net/10919/11075en
dc.publisherVirginia Techen
dc.relation.haspartDissertation-Qiu.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPower System Protectionen
dc.subjectCatastrophic Failuresen
dc.subjectDynamic Event Treeen
dc.subjectAdaptive Dependability/Security Protectionen
dc.subjectRisk Assessmenten
dc.subjectHidden Failuresen
dc.subjectHidden Failure Controlen
dc.subjectHidden Failure Monitoringen
dc.subjectProduction Simulationen
dc.subjectMisoperation Tracking Databaseen
dc.subjectPower Systemen
dc.titleRisk Assessment of Power System Catastrophic Failures and Hidden Failure Monitoring & Control Systemen
dc.typeDissertationen
thesis.degree.disciplineElectrical and Computer 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:
Dissertation-Qiu.pdf
Size:
1.8 MB
Format:
Adobe Portable Document Format
Download

Collections

Doctoral Dissertations