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Optimal dispatch of ancillary services via self-organizing migration algorithm

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dc.title Optimal dispatch of ancillary services via self-organizing migration algorithm en
dc.contributor.author Novák, Jakub
dc.contributor.author Chalupa, Petr
dc.contributor.author Bobál, Vladimír
dc.relation.ispartof Journal of Electrical Engineering
dc.identifier.issn 1335-3632 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2011
utb.relation.volume 62
utb.relation.issue 6
dc.citation.spage 342
dc.citation.epage 348
dc.type article
dc.language.iso en
dc.identifier.doi 10.2478/v10187-011-0054-7
dc.relation.uri http://versita.metapress.com/content/f3447833266j0722/
dc.subject Ancillary services en
dc.subject Evolutionary computations en
dc.subject Frequency control en
dc.subject Optimal dispatch en
dc.description.abstract Modern electric power systems are large-scale systems with a complex structure comprised of interconnected networks. The balance between the generation and consumption of electricity has to be maintained at any moment. Transmission System Operator (TSO) uses ancillary services for keeping the domestic power balance. Selection of the services can be viewed as an optimization problem. In this contribution the optimization problem is solved via the Self-Organizing Migration Algorithm which belongs to the class of evolutionary algorithms. The comparison with historical activations of ancillary services showed the improved performance in terms of reduced cost for ancillary services. © 2011 FEI STU. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1002590
utb.identifier.rivid RIV/70883521:28140/11:43865508!RIV12-MSM-28140___
utb.identifier.obdid 43865520
utb.identifier.scopus 2-s2.0-83255193494
utb.identifier.wok 000298720600004
utb.source j-scopus
dc.date.accessioned 2012-02-10T13:15:08Z
dc.date.available 2012-02-10T13:15:08Z
utb.contributor.internalauthor Novák, Jakub
utb.contributor.internalauthor Chalupa, Petr
utb.contributor.internalauthor Bobál, Vladimír
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