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Design of power system stabilizers using evolutionary algorithms

Includes synopsis.

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Bibliographic Details
Main Author: Sheetekela, Severus Panduleni Napandulwe
Other Authors: Folly, Komla A
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2015
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access_status_str Open Access
author Sheetekela, Severus Panduleni Napandulwe
author2 Folly, Komla A
author_browse Folly, Komla A
Sheetekela, Severus Panduleni Napandulwe
author_facet Folly, Komla A
Sheetekela, Severus Panduleni Napandulwe
author_sort Sheetekela, Severus Panduleni Napandulwe
collection Thesis
description Includes synopsis.
format Thesis
id oai:open.uct.ac.za:11427/11753
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:24.573Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/11753 Design of power system stabilizers using evolutionary algorithms Sheetekela, Severus Panduleni Napandulwe Folly, Komla A Electrical Engineering Includes synopsis. Includes bibliographical references (leaves 151-159). Includes bibliographical references (leaves 125-134). Over the past decades, the issue of low frequency oscillations has been of major concern to power system engineers. These oscillations range from 0.1 to 3Hz and tend to be poorly damped especially in systems equipped with high gain fast acting AVRs and highly interconnected networks. If these oscillations are not adequately damped, they may sustain and grow, which may lead to system separation and loss of power transfer. 2015-01-08T19:47:31Z 2015-01-08T19:47:31Z 2010 Master Thesis Masters MSc http://hdl.handle.net/11427/11753 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Sheetekela, Severus Panduleni Napandulwe
Design of power system stabilizers using evolutionary algorithms
thesis_degree_str Master's
title Design of power system stabilizers using evolutionary algorithms
title_full Design of power system stabilizers using evolutionary algorithms
title_fullStr Design of power system stabilizers using evolutionary algorithms
title_full_unstemmed Design of power system stabilizers using evolutionary algorithms
title_short Design of power system stabilizers using evolutionary algorithms
title_sort design of power system stabilizers using evolutionary algorithms
topic Electrical Engineering
url http://hdl.handle.net/11427/11753
work_keys_str_mv AT sheetekelaseveruspanduleninapandulwe designofpowersystemstabilizersusingevolutionaryalgorithms