Decision support for the production and distribution of electricity under load shedding

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dc.contributor.advisorDurbach, Ianen_ZA
dc.contributor.advisorNyirenda, Juwaen_ZA
dc.contributor.authorRakotonirainy, Rosephine Georginaen_ZA
dc.date.accessioned2016-07-28T12:15:03Z
dc.date.available2016-07-28T12:15:03Z
dc.date.issued2016en_ZA
dc.description.abstractEvery day national power system networks provide thousands of MW of electric power from generating units to consumers. This process requires different operations and planning to ensure the security of the entire system. Part of the daily or weekly operation system is the so called Unit Commitment problem which consists of scheduling the available resources in order to meet the system demand. But the continuous growth in electricity demand might put pressure on the ability of the generation system to sufficiently provide supply. In such case load shedding (a controlled, enforced reduction in electricity supply) is necessary to prevent the risk to system collapse. In South Africa at the present time, a systematic lack of supply has meant that regular load shedding has taken place, with substantial economic and social costs. In this research project we study two optimization problems related to load shedding. The first is how load shedding can be integrated into the unit commitment problem. The second is how load shedding can be fairly and efficiently allocated across areas. We develop deterministic and stochastic linear and goal programming models for these purposes. Several case studies are conducted to explore the possible solutions that the proposed models can offer.en_ZA
dc.identifier.apacitationRakotonirainy, R. G. (2016). <i>Decision support for the production and distribution of electricity under load shedding</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/20942en_ZA
dc.identifier.chicagocitationRakotonirainy, Rosephine Georgina. <i>"Decision support for the production and distribution of electricity under load shedding."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2016. http://hdl.handle.net/11427/20942en_ZA
dc.identifier.citationRakotonirainy, R. 2016. Decision support for the production and distribution of electricity under load shedding. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Rakotonirainy, Rosephine Georgina AB - Every day national power system networks provide thousands of MW of electric power from generating units to consumers. This process requires different operations and planning to ensure the security of the entire system. Part of the daily or weekly operation system is the so called Unit Commitment problem which consists of scheduling the available resources in order to meet the system demand. But the continuous growth in electricity demand might put pressure on the ability of the generation system to sufficiently provide supply. In such case load shedding (a controlled, enforced reduction in electricity supply) is necessary to prevent the risk to system collapse. In South Africa at the present time, a systematic lack of supply has meant that regular load shedding has taken place, with substantial economic and social costs. In this research project we study two optimization problems related to load shedding. The first is how load shedding can be integrated into the unit commitment problem. The second is how load shedding can be fairly and efficiently allocated across areas. We develop deterministic and stochastic linear and goal programming models for these purposes. Several case studies are conducted to explore the possible solutions that the proposed models can offer. DA - 2016 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2016 T1 - Decision support for the production and distribution of electricity under load shedding TI - Decision support for the production and distribution of electricity under load shedding UR - http://hdl.handle.net/11427/20942 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/20942
dc.identifier.vancouvercitationRakotonirainy RG. Decision support for the production and distribution of electricity under load shedding. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2016 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/20942en_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.titleDecision support for the production and distribution of electricity under load sheddingen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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