Multi-objective optimization techniques in electricity generation planning

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 electricit...

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Bibliographic Details
Main Author: Tuyiragize, Richard
Other Authors: Stewart, Theodor J
Format: Doctoral Thesis
Language:English
Published: University of Cape Town 2014
Subjects:
Online Access:http://hdl.handle.net/11427/10720
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-107202020-07-22T05:07:28Z Multi-objective optimization techniques in electricity generation planning Tuyiragize, Richard Stewart, Theodor J Luboobi, Livingstone S Statistical Sciences 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. 2014-12-31T19:46:13Z 2014-12-31T19:46:13Z 2011 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/10720 eng application/pdf University of Cape Town Faculty of Science Department of Statistical Sciences
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Statistical Sciences
spellingShingle Statistical Sciences
Tuyiragize, Richard
Multi-objective optimization techniques in electricity generation planning
description 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.
author2 Stewart, Theodor J
author_facet Stewart, Theodor J
Tuyiragize, Richard
author Tuyiragize, Richard
author_sort Tuyiragize, Richard
title Multi-objective optimization techniques in electricity generation planning
title_short Multi-objective optimization techniques in electricity generation planning
title_full Multi-objective optimization techniques in electricity generation planning
title_fullStr Multi-objective optimization techniques in electricity generation planning
title_full_unstemmed Multi-objective optimization techniques in electricity generation planning
title_sort multi-objective optimization techniques in electricity generation planning
publisher University of Cape Town
publishDate 2014
url http://hdl.handle.net/11427/10720
work_keys_str_mv AT tuyiragizerichard multiobjectiveoptimizationtechniquesinelectricitygenerationplanning
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