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dc.contributor.advisorRosehart, William Daniel
dc.contributor.advisorZareipour, Hamidreza
dc.contributor.authorAhmed, Syed Sabbir
dc.date.accessioned2013-10-02T20:22:59Z
dc.date.available2013-11-12T08:00:19Z
dc.date.issued2013-10-02
dc.date.submitted2013en
dc.identifier.citationAhmed, S. S. (2013). Solving Multi-objective Optimization Problems in Power Systems Based on Extended Goal Programming Method (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27827en_US
dc.identifier.urihttp://hdl.handle.net/11023/1085
dc.description.abstractThis thesis proposes an approach to solve multi-objective optimization problems in power systems based on the Extended Goal Programming (EGP) method. In the first part, the EGP method is applied to deterministic multi-objective optimal power flow (MOOPF) problem. The results are compared with classical methods and the efficiency of the EGP method is evaluated. A method for ranking the solutions is introduced to help decision makers choose their preferred solution. In the second part, Taguchi's Orthogonal Array Technique (TOAT) and EGP method are jointly applied to solve probabilistic MOOPF problem with load and renewable generation uncertainties. This approach finds a solution that is robust to uncertain variations in load and renewable power generations. An analysis of the significance of generators ramp rate variation with the degree of robustness of the solution is shown. The results are compared with that of deterministic model and the robustness of the solution is evaluated.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.subjectEnergy
dc.subjectElectronics and Electrical
dc.subjectOperations Research
dc.subject.classificationMulti-Objective Optimizationen_US
dc.subject.classificationOptimal Power Flowen_US
dc.subject.classificationGoal Programmingen_US
dc.titleSolving Multi-objective Optimization Problems in Power Systems Based on Extended Goal Programming Method
dc.typemaster thesis
dc.publisher.facultyGraduate Studies
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27827
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
atmire.migration.oldid1576
dc.publisher.placeCalgaryen


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