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A RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMS

dc.contributor.authorCHAUDHRY, NIKHIL
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.departmentDepartment of Electrical & Computer Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerDr. Serguei Iakovleven_US
dc.contributor.graduate-coordinatorDr. Michael Cadaen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. Peter Gregsonen_US
dc.contributor.thesis-readerDr. Serguei Iakovleven_US
dc.contributor.thesis-supervisorDr. Larry Hughesen_US
dc.date.accessioned2011-12-14T18:09:10Z
dc.date.available2011-12-14T18:09:10Z
dc.date.defence2011-12-08
dc.date.issued2011-12-14
dc.description.abstractTwo of the most significant challenges facing the world in the 21st century are improving energy security and mitigating the effects of climate change. To counter these challenges, renewable energy sources, such as wind, are considered a possible solution and have gained importance worldwide. With many jurisdictions setting high wind-energy targets for the coming decades, risks have grown as the demand for new wind turbines has outstripped the growth of its suppliers. Integrating significant amounts of wind-electricity into existing networks raises reliability concerns due to variable nature of wind. A method for estimating the reliability of wind-energy systems is presented which is a combination of a forecasting method (probabilistic approach) and RL (Resistance-Load) technique (risk-based approach), demonstrated through a case study, and verified using real-time wind farm data.en_US
dc.identifier.urihttp://hdl.handle.net/10222/14352
dc.language.isoenen_US
dc.subjectWind-Energy Systemen_US
dc.subjectVariable Wind Outputen_US
dc.subjectLoad Uncertaintyen_US
dc.subjectProbabilistic Simulationen_US
dc.subjectForecasting Reliabilityen_US
dc.subjectEnergy Securityen_US
dc.titleA RISK ANALYSIS AND RELIABILITY FORECASTING METHOD FOR WIND ENERGY SYSTEMSen_US

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