Multi-objective optimization techniques in electricity generation planning

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dc.contributor.advisorStewart, Theodor Jen_ZA
dc.contributor.advisorLuboobi, Livingstone Sen_ZA
dc.contributor.authorTuyiragize, Richarden_ZA
dc.date.accessioned2014-12-31T19:46:13Z
dc.date.available2014-12-31T19:46:13Z
dc.date.issued2011en_ZA
dc.description.abstractThe objective of this research is to develop a framework of multi-objective optimization (MOO) models that are better capable of providing decision support on future long-term electricity generation planning (EGP), in the context of insufficient electricity capacity and to apply it to the electricity system for a developing country. The problem that motivated this study was a lack of EGP models in developing countries to keep pace with the countries' socio-economic and demographic dynamics. This research focused on two approaches: mathematical programming (MP) and system dynamics (SD). Detailed model descriptions, formulations, and implementation results are presented in the thesis along with the observations and insights obtained during the course of this research.en_ZA
dc.identifier.apacitationTuyiragize, R. (2011). <i>Multi-objective optimization techniques in electricity generation planning</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/10720en_ZA
dc.identifier.chicagocitationTuyiragize, Richard. <i>"Multi-objective optimization techniques in electricity generation planning."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2011. http://hdl.handle.net/11427/10720en_ZA
dc.identifier.citationTuyiragize, R. 2011. Multi-objective optimization techniques in electricity generation planning. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Tuyiragize, Richard AB - The objective of this research is to develop a framework of multi-objective optimization (MOO) models that are better capable of providing decision support on future long-term electricity generation planning (EGP), in the context of insufficient electricity capacity and to apply it to the electricity system for a developing country. The problem that motivated this study was a lack of EGP models in developing countries to keep pace with the countries' socio-economic and demographic dynamics. This research focused on two approaches: mathematical programming (MP) and system dynamics (SD). Detailed model descriptions, formulations, and implementation results are presented in the thesis along with the observations and insights obtained during the course of this research. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - Multi-objective optimization techniques in electricity generation planning TI - Multi-objective optimization techniques in electricity generation planning UR - http://hdl.handle.net/11427/10720 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/10720
dc.identifier.vancouvercitationTuyiragize R. Multi-objective optimization techniques in electricity generation planning. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/10720en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherStatistical Sciencesen_ZA
dc.titleMulti-objective optimization techniques in electricity generation planningen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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