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Application of evolutionary algorithms for optimal directional overcurrent relay coordination

Includes bibliographical references.

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Bibliographic Details
Main Author: Stenane, Ndabeni Moses
Other Authors: Folly, Komla A
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Stenane, Ndabeni Moses
author2 Folly, Komla A
author_browse Folly, Komla A
Stenane, Ndabeni Moses
author_facet Folly, Komla A
Stenane, Ndabeni Moses
author_sort Stenane, Ndabeni Moses
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/9092
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:35.974Z
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:11427/9092 Application of evolutionary algorithms for optimal directional overcurrent relay coordination Stenane, Ndabeni Moses Folly, Komla A Includes bibliographical references. Relay coordination is necessary to ensure that while protection relays operate as fast as possible, they are also able to isolate only the faulted parts of the system from the network, ensuring that a power system disturbance does not result in interruption of the power supply to a larger part of the power system network. Optimal relay coordination for overcurrent relays depends on two parameters, namely, Time Multiplier and Pickup Current Setting. The conventional method of setting these two parameters for overcurrent relays applied on the power system network is to first determine the main and backup relay pairs which form part of the clockwise and anti-clockwise loops around the power system network. The relays are then set through an iterative process to ensure coordination. Initially, a general rule of setting relays to operate in 0.2 seconds for faults in the primary zone, to ensure fast operation, and in 0.2 seconds plus additional grading time, to ensure coordination, for faults in the backup zone is applied. The next relay in the loop is tested to check if it fulfils the requirements of the initial general rule. If the conditions of the general rule are not met, the previous relay’s setting is adjusted to meet the requirements. This process is repeated until all the relays around the loop are set. Conventional relay coordination process has a limitation in the sense that it is deterministic and the settings of subsequent relays depend on the initial guess of the settings of the initial relay. Therefore, this method does not necessarily provide solutions which guarantee optimal relay coordination but the best of the solutions tried. 2014-11-05T03:35:45Z 2014-11-05T03:35:45Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/9092 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Stenane, Ndabeni Moses
Application of evolutionary algorithms for optimal directional overcurrent relay coordination
thesis_degree_str Master's
title Application of evolutionary algorithms for optimal directional overcurrent relay coordination
title_full Application of evolutionary algorithms for optimal directional overcurrent relay coordination
title_fullStr Application of evolutionary algorithms for optimal directional overcurrent relay coordination
title_full_unstemmed Application of evolutionary algorithms for optimal directional overcurrent relay coordination
title_short Application of evolutionary algorithms for optimal directional overcurrent relay coordination
title_sort application of evolutionary algorithms for optimal directional overcurrent relay coordination
url http://hdl.handle.net/11427/9092
work_keys_str_mv AT stenanendabenimoses applicationofevolutionaryalgorithmsforoptimaldirectionalovercurrentrelaycoordination