Electrical power grid network optimisation by evolutionary computing

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dc.contributor.authorOliver, John M.
dc.contributor.authorKipouros, Timoleon
dc.contributor.authorSavill, Mark A.
dc.date.accessioned2016-05-20T09:22:30Z
dc.date.available2016-05-20T09:22:30Z
dc.date.issued2014-06-06
dc.description.abstractA major factor in the consideration of an electrical power network of the scale of a national grid is the calculation of power flow and in particular, optimal power flow. This paper considers such a network, in which distributed generation is used, and examines how the network can be optimized, in terms of transmission line capacity, in order to obtain optimal or at least high-performing configurations, using multi-objective optimisation by evolutionary computing methods.en_UK
dc.identifier.citationJohn M. Oliver, Timoleon Kipouros, A. Mark Savill, Electrical Power Grid Network Optimisation by Evolutionary Computing, Procedia Computer Science, Volume 29, 2014, Pages 1948-1958en_UK
dc.identifier.issn1877-0509
dc.identifier.urihttp://dx.doi.org/10.1016/j.procs.2014.05.179
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/9904
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsUnder a Creative Commons license Attribution-Non-Commercial-No Derivitives 3.0 Unported (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.en_UK
dc.subjectMulti-objectiveen_UK
dc.subjectOptimisationen_UK
dc.subjectEvolutionary Computingen_UK
dc.subjectElectrical Poweren_UK
dc.subjectGriden_UK
dc.titleElectrical power grid network optimisation by evolutionary computingen_UK
dc.typeArticleen_UK

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