Integrated System Model Reliability Evaluation and Prediction for Electrical Power Systems: Graph Trace Analysis Based Solutions

Simple item page
dc.contributor.authorCheng, Danlingen
dc.contributor.committeechairBroadwater, Robert P.en
dc.contributor.committeememberAbbott, A. Lynnen
dc.contributor.committeememberNachlas, Joel A.en
dc.contributor.committeememberLiu, Yiluen
dc.contributor.committeememberTam, Kwa-Suren
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2014-03-14T20:16:09Zen
dc.date.adate2009-10-14en
dc.date.available2014-03-14T20:16:09Zen
dc.date.issued2009-09-09en
dc.date.rdate2009-10-14en
dc.date.sdate2009-09-11en
dc.description.abstractA new approach to the evaluation of the reliability of electrical systems is presented. In this approach a Graph Trace Analysis based approach is applied to integrated system models and reliability analysis. The analysis zones are extended from the traditional power system functional zones. The systems are modeled using containers with iterators, where the iterators manage graph edges and are used to process through the topology of the graph. The analysis provides a means of computationally handling dependent outages and cascading failures. The effects of adverse weather, time-varying loads, equipment age, installation environment, operation conditions are considered. Sequential Monte Carlo simulation is used to evaluate the reliability changes for different system configurations, including distributed generation and transmission lines. Historical weather records and loading are used to update the component failure rates on-the-fly. Simulation results are compared against historical reliability field measurements. Given a large and complex plant to operate, a real-time understanding of the networks and their situational reliability is important to operational decision support. This dissertation also introduces using an Integrated System Model in helping operators to minimize real-time problems. A real-time simulation architecture is described, which predicts where problems may occur, how serious they may be, and what is the possible root cause.en
dc.description.degreePh. D.en
dc.identifier.otheretd-09112009-151520en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-09112009-151520/en
dc.identifier.urihttp://hdl.handle.net/10919/28944en
dc.publisherVirginia Techen
dc.relation.haspartCheng_Danling_D_2009.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectReal-Time Monitoring and Analysisen
dc.subjectMonte Carlo Simulationen
dc.subjectDistributed Generationen
dc.subjectTime-Varying Loaden
dc.subjectCascading Effecten
dc.subjectDependent Failureen
dc.subjectAdverse Weather Effecten
dc.subjectReliability Analysisen
dc.titleIntegrated System Model Reliability Evaluation and Prediction for Electrical Power Systems: Graph Trace Analysis Based Solutionsen
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:
Cheng_Danling_D_2009.pdf
Size:
1.52 MB
Format:
Adobe Portable Document Format
Download

Collections

Doctoral Dissertations