A statistics-based genetic algorithm for quality improvements of power supplies
This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is incorporated...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
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Inderscience Enterprises Ltd
2009
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| Subjects: | |
| Online Access: | http://www.inderscience.com/search/index.php?action=record&rec_id=27038 http://hdl.handle.net/20.500.11937/37477 |
| _version_ | 1848755059161038848 |
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| author | Chan, Kit Yan Chan, K. Pong, G. Aydin, M. Fogarty, T. Ling, S. |
| author_facet | Chan, Kit Yan Chan, K. Pong, G. Aydin, M. Fogarty, T. Ling, S. |
| author_sort | Chan, Kit Yan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is incorporated with the characteristics of the stochastic method, evolutionary algorithm and a more systematical statistical method, orthogonal design. It intends to compensate for the built-in randomness of the stochastic method and, at the same time, overcome the limitations of local search methods that are not suitable for handling multi-optima problems. Case studies on the WSCC 9-bus and New England 39-bus systems indicate that the proposed approach outperforms the existing method in terms of robustness in solution and convergence speed while the solution quality that can offer a more stable and cheaper power supply to customers is achieved. |
| first_indexed | 2025-11-14T08:50:17Z |
| format | Journal Article |
| id | curtin-20.500.11937-37477 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:50:17Z |
| publishDate | 2009 |
| publisher | Inderscience Enterprises Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-374772017-02-28T01:45:43Z A statistics-based genetic algorithm for quality improvements of power supplies Chan, Kit Yan Chan, K. Pong, G. Aydin, M. Fogarty, T. Ling, S. power systems GAs quality improvement genetic algorithms orthogonal arrays stability evolutionary algorithm operational costs power supply optimisation This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is incorporated with the characteristics of the stochastic method, evolutionary algorithm and a more systematical statistical method, orthogonal design. It intends to compensate for the built-in randomness of the stochastic method and, at the same time, overcome the limitations of local search methods that are not suitable for handling multi-optima problems. Case studies on the WSCC 9-bus and New England 39-bus systems indicate that the proposed approach outperforms the existing method in terms of robustness in solution and convergence speed while the solution quality that can offer a more stable and cheaper power supply to customers is achieved. 2009 Journal Article http://hdl.handle.net/20.500.11937/37477 http://www.inderscience.com/search/index.php?action=record&rec_id=27038 Inderscience Enterprises Ltd restricted |
| spellingShingle | power systems GAs quality improvement genetic algorithms orthogonal arrays stability evolutionary algorithm operational costs power supply optimisation Chan, Kit Yan Chan, K. Pong, G. Aydin, M. Fogarty, T. Ling, S. A statistics-based genetic algorithm for quality improvements of power supplies |
| title | A statistics-based genetic algorithm for quality improvements of power supplies |
| title_full | A statistics-based genetic algorithm for quality improvements of power supplies |
| title_fullStr | A statistics-based genetic algorithm for quality improvements of power supplies |
| title_full_unstemmed | A statistics-based genetic algorithm for quality improvements of power supplies |
| title_short | A statistics-based genetic algorithm for quality improvements of power supplies |
| title_sort | statistics-based genetic algorithm for quality improvements of power supplies |
| topic | power systems GAs quality improvement genetic algorithms orthogonal arrays stability evolutionary algorithm operational costs power supply optimisation |
| url | http://www.inderscience.com/search/index.php?action=record&rec_id=27038 http://hdl.handle.net/20.500.11937/37477 |