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

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 pr...

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Bibliographic Details
Main Author: Rakotonirainy, Rosephine Georgina
Other Authors: Durbach, Ian
Format: Dissertation
Language:English
Published: University of Cape Town 2016
Subjects:
Online Access:http://hdl.handle.net/11427/20942
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-209422021-07-02T05:08:51Z Decision support for the production and distribution of electricity under load shedding Rakotonirainy, Rosephine Georgina Durbach, Ian Nyirenda, Juwa Statistical Sciences 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. 2016-07-28T12:15:03Z 2016-07-28T12:15:03Z 2016 Master Thesis Masters MSc http://hdl.handle.net/11427/20942 eng application/pdf University of Cape Town Faculty of Science Department of Statistical Sciences
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Statistical Sciences
spellingShingle Statistical Sciences
Rakotonirainy, Rosephine Georgina
Decision support for the production and distribution of electricity under load shedding
description 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.
author2 Durbach, Ian
author_facet Durbach, Ian
Rakotonirainy, Rosephine Georgina
author Rakotonirainy, Rosephine Georgina
author_sort Rakotonirainy, Rosephine Georgina
title Decision support for the production and distribution of electricity under load shedding
title_short Decision support for the production and distribution of electricity under load shedding
title_full Decision support for the production and distribution of electricity under load shedding
title_fullStr Decision support for the production and distribution of electricity under load shedding
title_full_unstemmed Decision support for the production and distribution of electricity under load shedding
title_sort decision support for the production and distribution of electricity under load shedding
publisher University of Cape Town
publishDate 2016
url http://hdl.handle.net/11427/20942
work_keys_str_mv AT rakotonirainyrosephinegeorgina decisionsupportfortheproductionanddistributionofelectricityunderloadshedding
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