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The characterisation and automatic classification of transmission line faults
Includes bibliographical references.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
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| _version_ | 1867613140595769344 |
|---|---|
| access_status_str | Open Access |
| author | Minnaar, Ulrich |
| author2 | Gaunt, C T |
| author_browse | Gaunt, C T Minnaar, Ulrich |
| author_facet | Gaunt, C T Minnaar, Ulrich |
| author_sort | Minnaar, Ulrich |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/9287 |
| 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 | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| 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:11427/9287 The characterisation and automatic classification of transmission line faults Minnaar, Ulrich Gaunt, C T Nicolls, Fred Includes bibliographical references. A country's ability to sustain and grow its industrial and commercial activities is highly dependent on a reliable electricity supply. Electrical faults on transmission lines are a cause of both interruptions to supply and voltage dips. These are the most common events impacting electricity users and also have the largest financial impact on them. This research focuses on understanding the causes of transmission line faults and developing methods to automatically identify these causes. Records of faults occurring on the South African power transmission system over a 16-year period have been collected and analysed to find statistical relationships between local climate, key design parameters of the overhead lines and the main causes of power system faults. The results characterize the performance of the South African transmission system on a probabilistic basis and illustrate differences in fault cause statistics for the summer and winter rainfall areas of South Africa and for different times of the year and day. This analysis lays a foundation for reliability analysis and fault pattern recognition taking environmental features such as local geography, climate and power system parameters into account. A key aspect of using pattern recognition techniques is selecting appropriate classifying features. Transmission line fault waveforms are characterised by instantaneous symmetrical component analysis to describe the transient and steady state fault conditions. The waveform and environmental features are used to develop single nearest neighbour classifiers to identify the underlying cause of transmission line faults. A classification accuracy of 86% is achieved using a single nearest neighbour classifier. This classification performance is found to be superior to that of decision tree, artificial neural network and naïve Bayes classifiers. The results achieved demonstrate that transmission line faults can be automatically classified according to cause. 2014-11-07T09:04:23Z 2014-11-07T09:04:23Z 2014 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/9287 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Minnaar, Ulrich The characterisation and automatic classification of transmission line faults |
| thesis_degree_str | Doctoral |
| title | The characterisation and automatic classification of transmission line faults |
| title_full | The characterisation and automatic classification of transmission line faults |
| title_fullStr | The characterisation and automatic classification of transmission line faults |
| title_full_unstemmed | The characterisation and automatic classification of transmission line faults |
| title_short | The characterisation and automatic classification of transmission line faults |
| title_sort | characterisation and automatic classification of transmission line faults |
| url | http://hdl.handle.net/11427/9287 |
| work_keys_str_mv | AT minnaarulrich thecharacterisationandautomaticclassificationoftransmissionlinefaults AT minnaarulrich characterisationandautomaticclassificationoftransmissionlinefaults |