A nonlinear adaptive filter for improved operation and protection of power systems
Includes abstract. === Includes bibliographical references (leaves 161-171). === This thesis presents the application of a nonlinear adaptive filter to selected areas in power systems. The filter has demonstrated excellent performance against con-ventional methods in biomedical applications. The alg...
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Online Access: | http://hdl.handle.net/11427/5141 |
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ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-51412020-12-10T05:11:07Z A nonlinear adaptive filter for improved operation and protection of power systems Naidoo, R M Pillay, Pragasen Electrical Engineering Includes abstract. Includes bibliographical references (leaves 161-171). This thesis presents the application of a nonlinear adaptive filter to selected areas in power systems. The filter has demonstrated excellent performance against con-ventional methods in biomedical applications. The algorithm is robust in structure and highly immune to noise. Applications in this thesis include (1) sag detection, (2) symmetrical component estimation, (3) phase and frequency estimation, (4) sag analysis and (5) distributed generation synchronisation and protection. The appli-cations were chosen such that the amplitude, phase and frequency tracking ability are thoroughly tested. 2014-07-31T10:54:23Z 2014-07-31T10:54:23Z 2008 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/5141 eng application/pdf University of Cape Town Faculty of Engineering and the Built Environment Department of Electrical Engineering |
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NDLTD |
language |
English |
format |
Doctoral Thesis |
sources |
NDLTD |
topic |
Electrical Engineering |
spellingShingle |
Electrical Engineering Naidoo, R M A nonlinear adaptive filter for improved operation and protection of power systems |
description |
Includes abstract. === Includes bibliographical references (leaves 161-171). === This thesis presents the application of a nonlinear adaptive filter to selected areas in power systems. The filter has demonstrated excellent performance against con-ventional methods in biomedical applications. The algorithm is robust in structure and highly immune to noise. Applications in this thesis include (1) sag detection, (2) symmetrical component estimation, (3) phase and frequency estimation, (4) sag analysis and (5) distributed generation synchronisation and protection. The appli-cations were chosen such that the amplitude, phase and frequency tracking ability are thoroughly tested. |
author2 |
Pillay, Pragasen |
author_facet |
Pillay, Pragasen Naidoo, R M |
author |
Naidoo, R M |
author_sort |
Naidoo, R M |
title |
A nonlinear adaptive filter for improved operation and protection of power systems |
title_short |
A nonlinear adaptive filter for improved operation and protection of power systems |
title_full |
A nonlinear adaptive filter for improved operation and protection of power systems |
title_fullStr |
A nonlinear adaptive filter for improved operation and protection of power systems |
title_full_unstemmed |
A nonlinear adaptive filter for improved operation and protection of power systems |
title_sort |
nonlinear adaptive filter for improved operation and protection of power systems |
publisher |
University of Cape Town |
publishDate |
2014 |
url |
http://hdl.handle.net/11427/5141 |
work_keys_str_mv |
AT naidoorm anonlinearadaptivefilterforimprovedoperationandprotectionofpowersystems AT naidoorm nonlinearadaptivefilterforimprovedoperationandprotectionofpowersystems |
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1719369386567925760 |