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dc.contributor.advisorRosehart, William
dc.contributor.authorManickavasagam, Monishaa
dc.date.accessioned2014-04-28T22:26:26Z
dc.date.available2014-06-16T07:00:34Z
dc.date.issued2014-04-28
dc.date.submitted2014en
dc.identifier.citationManickavasagam, M. (2014). Sensitivity Dependent Chance Constrained Programming for Uncertainty in Power System Planning (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27752en_US
dc.identifier.urihttp://hdl.handle.net/11023/1437
dc.description.abstractThis thesis develops iterative algorithms for solving joint Chance Constrained Programming (CCP) based stochastic problems in power system planning. A generation expansion problem with load uncertainty is formulated as joint CCP and solved by incorporating sensitivity in the iterative algorithms. These algorithms exploit the characteristics and the response of the system with respect to the variations in the load. The buses in the system are classified according to its stress level and depending on contribution of each bus to the system reliability, it is treated uniquely in the iterative algorithm. By employing sensitivity, a few mathematical challenges in solving joint CCP problem is addressed and also optimal expansion solutions are obtained due to the correct estimation of the uncertain load. The IEEE 30- and 118- bus test systems are used to demonstrate the algorithms and results from the proposed algorithms are compared with the other existing algorithms for solving the joint CCP problem.en_US
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Electronics and Electrical
dc.subject.classificationChance Constrained Programmingen_US
dc.subject.classificationUncertaintyen_US
dc.subject.classificationPower System Planningen_US
dc.titleSensitivity Dependent Chance Constrained Programming for Uncertainty in Power System Planning
dc.typemaster thesis
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27752
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
atmire.migration.oldid2055
dc.publisher.placeCalgaryen
ucalgary.item.requestcopytrue


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