Mathematical modelling and risk management in deregulated electricity markets

In this thesis we aim to explore how electricity generation companies cope with the transition to a competitive environment in a newly deregulated electricity industry. Analyses and discussions are generally performed from the perspective of a Generator/Producer, otherwise they are undertaken with r...

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Bibliographic Details
Main Author: Davis, Stephen
Other Authors: Stewart, Theodor J
Format: Dissertation
Language:English
Published: University of Cape Town 2016
Subjects:
Online Access:http://hdl.handle.net/11427/19139
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-191392020-10-06T05:11:13Z Mathematical modelling and risk management in deregulated electricity markets Davis, Stephen Stewart, Theodor J Operations Research In this thesis we aim to explore how electricity generation companies cope with the transition to a competitive environment in a newly deregulated electricity industry. Analyses and discussions are generally performed from the perspective of a Generator/Producer, otherwise they are undertaken with respect to the market as a whole. The techniques used for tackling the complex issues are diverse and wide-ranging as ascertained from the existing literature on the subject. The global ideology focuses on combining two streams of thought: the production optimisation and equilibrium techniques of the old monopolistic, cost-saving industry and; the new dynamic profit-maximising and risk-mitigating competitive industry. Financial engineering in a new and poorly understood market for electrical power must now take place in conjunction with - yet also constrained by - the physical production and distribution of the commodity. 2016-04-22T13:37:29Z 2016-04-22T13:37:29Z 2005 Master Thesis Masters MSc http://hdl.handle.net/11427/19139 eng application/pdf University of Cape Town Faculty of Science Department of Statistical Sciences
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Operations Research
spellingShingle Operations Research
Davis, Stephen
Mathematical modelling and risk management in deregulated electricity markets
description In this thesis we aim to explore how electricity generation companies cope with the transition to a competitive environment in a newly deregulated electricity industry. Analyses and discussions are generally performed from the perspective of a Generator/Producer, otherwise they are undertaken with respect to the market as a whole. The techniques used for tackling the complex issues are diverse and wide-ranging as ascertained from the existing literature on the subject. The global ideology focuses on combining two streams of thought: the production optimisation and equilibrium techniques of the old monopolistic, cost-saving industry and; the new dynamic profit-maximising and risk-mitigating competitive industry. Financial engineering in a new and poorly understood market for electrical power must now take place in conjunction with - yet also constrained by - the physical production and distribution of the commodity.
author2 Stewart, Theodor J
author_facet Stewart, Theodor J
Davis, Stephen
author Davis, Stephen
author_sort Davis, Stephen
title Mathematical modelling and risk management in deregulated electricity markets
title_short Mathematical modelling and risk management in deregulated electricity markets
title_full Mathematical modelling and risk management in deregulated electricity markets
title_fullStr Mathematical modelling and risk management in deregulated electricity markets
title_full_unstemmed Mathematical modelling and risk management in deregulated electricity markets
title_sort mathematical modelling and risk management in deregulated electricity markets
publisher University of Cape Town
publishDate 2016
url http://hdl.handle.net/11427/19139
work_keys_str_mv AT davisstephen mathematicalmodellingandriskmanagementinderegulatedelectricitymarkets
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