Optimization of long rural feeders using a genetic algorithm
This paper describes the optimization of conductor size and the voltage regulator location & magnitude of long rural distribution lines. The optimization minimizes the lifetime cost of the lines, including capital costs and losses while observing voltage drop and operational constraints using a...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
AIP
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/14122 |
| _version_ | 1848748536713183232 |
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| author | Wishart, M. Ledwich, G. Ivanovich, G. Ghosh, Arindam |
| author2 | Pandian Vasant |
| author_facet | Pandian Vasant Wishart, M. Ledwich, G. Ivanovich, G. Ghosh, Arindam |
| author_sort | Wishart, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper describes the optimization of conductor size and the voltage regulator location & magnitude of long rural distribution lines. The optimization minimizes the lifetime cost of the lines, including capital costs and losses while observing voltage drop and operational constraints using a Genetic Algorithm (GA). The GA optimization is applied to a real Single Wire Earth Return (SWER) network in regional Queensland and results are presented. |
| first_indexed | 2025-11-14T07:06:36Z |
| format | Conference Paper |
| id | curtin-20.500.11937-14122 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:06:36Z |
| publishDate | 2010 |
| publisher | AIP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-141222017-02-28T01:25:46Z Optimization of long rural feeders using a genetic algorithm Wishart, M. Ledwich, G. Ivanovich, G. Ghosh, Arindam Pandian Vasant This paper describes the optimization of conductor size and the voltage regulator location & magnitude of long rural distribution lines. The optimization minimizes the lifetime cost of the lines, including capital costs and losses while observing voltage drop and operational constraints using a Genetic Algorithm (GA). The GA optimization is applied to a real Single Wire Earth Return (SWER) network in regional Queensland and results are presented. 2010 Conference Paper http://hdl.handle.net/20.500.11937/14122 AIP restricted |
| spellingShingle | Wishart, M. Ledwich, G. Ivanovich, G. Ghosh, Arindam Optimization of long rural feeders using a genetic algorithm |
| title | Optimization of long rural feeders using a genetic algorithm |
| title_full | Optimization of long rural feeders using a genetic algorithm |
| title_fullStr | Optimization of long rural feeders using a genetic algorithm |
| title_full_unstemmed | Optimization of long rural feeders using a genetic algorithm |
| title_short | Optimization of long rural feeders using a genetic algorithm |
| title_sort | optimization of long rural feeders using a genetic algorithm |
| url | http://hdl.handle.net/20.500.11937/14122 |