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Department of Statistical Sciences

Multi-objective optimization techniques in electricity generation planning

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Statistical Sciences
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tuyiragize, Richard
Advisors dc:contributor.advisor
  • Stewart, Theodor J
  • Luboobi, Livingstone S

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/10720
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/10720

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Tuyiragize, Richard. Multi-objective optimization techniques in electricity generation planning. Department of Statistical Sciences, 2011. http://hdl.handle.net/11427/10720