Optimization methods applied to electric power systems
Thesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science Includes bibliographical references (leaves 130-133) The modern power system has been facing a tremendous challenge for utilities to maintain an economical, reliable and secure operation due to the increasing...
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ftmemorialunivdc:oai:collections.mun.ca:theses4/76356 2023-05-15T17:23:33+02:00 Optimization methods applied to electric power systems Kong, Jiasi, 1981- Memorial University of Newfoundland. Faculty of Engineering and Applied Science 2009 xv, 146 leaves : ill. Image/jpeg; Application/pdf http://collections.mun.ca/cdm/ref/collection/theses4/id/76356 Eng eng Electronic Theses and Dissertations (15.67 MB) -- http://collections.mun.ca/PDFs/theses/Kong_Jiasi.pdf a3242520 http://collections.mun.ca/cdm/ref/collection/theses4/id/76356 The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries Electric power systems--Management Electric power systems--Mathematical models Mathematical optimization Text Electronic thesis or dissertation 2009 ftmemorialunivdc 2015-08-06T19:22:11Z Thesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science Includes bibliographical references (leaves 130-133) The modern power system has been facing a tremendous challenge for utilities to maintain an economical, reliable and secure operation due to the increasing fuel cost, long distance transmission and intense market competition. This work investigates the application of optimization methods in power systems. Specifically, optimization methods to minimize total fuel cost and transmission loss for a specified load are considered. Multiobjective optimization focusing on the constraints related to the steady state operation including security constraints in power system is studied. Optimal Power Flow (OPF) including economic dispatch, security constrained optimal power flow and multiobjective optimization are the three key concepts of this thesis. Sequential quadratic programming is proposed and implemented as an optimization method for carrying out this research. Weighted sum method, a conventional multiobjective optimization method, is applied and implemented by Matlab Optimization Toolbox. A series of mutiobjective OPF case studies are presented in this research to show the performance and applications of the proposed optimization methods. The results from the case studies presented show that the tools are able to determine feasible, non-dominated optimal operation points that allow a system to operate economically and safely under a specified load demand. Thesis Newfoundland studies University of Newfoundland Memorial University of Newfoundland: Digital Archives Initiative (DAI) |
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Memorial University of Newfoundland: Digital Archives Initiative (DAI) |
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ftmemorialunivdc |
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English |
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Electric power systems--Management Electric power systems--Mathematical models Mathematical optimization |
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Electric power systems--Management Electric power systems--Mathematical models Mathematical optimization Kong, Jiasi, 1981- Optimization methods applied to electric power systems |
topic_facet |
Electric power systems--Management Electric power systems--Mathematical models Mathematical optimization |
description |
Thesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science Includes bibliographical references (leaves 130-133) The modern power system has been facing a tremendous challenge for utilities to maintain an economical, reliable and secure operation due to the increasing fuel cost, long distance transmission and intense market competition. This work investigates the application of optimization methods in power systems. Specifically, optimization methods to minimize total fuel cost and transmission loss for a specified load are considered. Multiobjective optimization focusing on the constraints related to the steady state operation including security constraints in power system is studied. Optimal Power Flow (OPF) including economic dispatch, security constrained optimal power flow and multiobjective optimization are the three key concepts of this thesis. Sequential quadratic programming is proposed and implemented as an optimization method for carrying out this research. Weighted sum method, a conventional multiobjective optimization method, is applied and implemented by Matlab Optimization Toolbox. A series of mutiobjective OPF case studies are presented in this research to show the performance and applications of the proposed optimization methods. The results from the case studies presented show that the tools are able to determine feasible, non-dominated optimal operation points that allow a system to operate economically and safely under a specified load demand. |
author2 |
Memorial University of Newfoundland. Faculty of Engineering and Applied Science |
format |
Thesis |
author |
Kong, Jiasi, 1981- |
author_facet |
Kong, Jiasi, 1981- |
author_sort |
Kong, Jiasi, 1981- |
title |
Optimization methods applied to electric power systems |
title_short |
Optimization methods applied to electric power systems |
title_full |
Optimization methods applied to electric power systems |
title_fullStr |
Optimization methods applied to electric power systems |
title_full_unstemmed |
Optimization methods applied to electric power systems |
title_sort |
optimization methods applied to electric power systems |
publishDate |
2009 |
url |
http://collections.mun.ca/cdm/ref/collection/theses4/id/76356 |
genre |
Newfoundland studies University of Newfoundland |
genre_facet |
Newfoundland studies University of Newfoundland |
op_source |
Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries |
op_relation |
Electronic Theses and Dissertations (15.67 MB) -- http://collections.mun.ca/PDFs/theses/Kong_Jiasi.pdf a3242520 http://collections.mun.ca/cdm/ref/collection/theses4/id/76356 |
op_rights |
The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. |
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