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- Publisher Website: 10.1504/EJIE.2009.027038
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Article: A statistics-based genetic algorithm for quality improvements of power supplies
Title | A statistics-based genetic algorithm for quality improvements of power supplies |
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Authors | |
Keywords | Evolutionary Algorithm Orthogonal Array Power Supplies Power Systems |
Issue Date | 2009 |
Publisher | Inderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ejie |
Citation | European Journal Of Industrial Engineering, 2009, v. 3 n. 4, p. 468-492 How to Cite? |
Abstract | 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. Copyright © 2009, Inderscience Publishers. |
Persistent Identifier | http://hdl.handle.net/10722/148607 |
ISSN | 2023 Impact Factor: 1.9 2023 SCImago Journal Rankings: 0.408 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Chan, KY | en_US |
dc.contributor.author | Chan, KW | en_US |
dc.contributor.author | Pong, GTY | en_US |
dc.contributor.author | Aydin, ME | en_US |
dc.contributor.author | Fogarty, TC | en_US |
dc.contributor.author | Ling, SH | en_US |
dc.date.accessioned | 2012-05-29T06:14:04Z | - |
dc.date.available | 2012-05-29T06:14:04Z | - |
dc.date.issued | 2009 | en_US |
dc.identifier.citation | European Journal Of Industrial Engineering, 2009, v. 3 n. 4, p. 468-492 | en_US |
dc.identifier.issn | 1751-5254 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/148607 | - |
dc.description.abstract | 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. Copyright © 2009, Inderscience Publishers. | en_US |
dc.language | eng | en_US |
dc.publisher | Inderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ejie | en_US |
dc.relation.ispartof | European Journal of Industrial Engineering | en_US |
dc.subject | Evolutionary Algorithm | en_US |
dc.subject | Orthogonal Array | en_US |
dc.subject | Power Supplies | en_US |
dc.subject | Power Systems | en_US |
dc.title | A statistics-based genetic algorithm for quality improvements of power supplies | en_US |
dc.type | Article | en_US |
dc.identifier.email | Chan, KY:kelvinc@pathology.hku.hk | en_US |
dc.identifier.authority | Chan, KY=rp00453 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1504/EJIE.2009.027038 | en_US |
dc.identifier.scopus | eid_2-s2.0-67651092028 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-67651092028&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 3 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.spage | 468 | en_US |
dc.identifier.epage | 492 | en_US |
dc.identifier.isi | WOS:000271299900006 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.issnl | 1751-5254 | - |