Ant colony optimisation for economic dispatch problem with non-smooth cost functions

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dc.contributor.authorPothiya, Saravuth
dc.contributor.authorNgamroo, Issarachai
dc.contributor.authorKongprawechnon, Waree
dc.date.accessioned2026-08-06T10:00:20Z
dc.date.available2026-08-06T10:00:20Z
dc.date.issued2010-06-01
dc.description.abstractThis paper presents a novel and efficient optimisation approach based on the ant colony optimisation (ACO) for solving the economic dispatch (ED) problem with non-smooth cost functions. In order to improve the performance of ACO algorithm, three additional techniques, i.e. priority list, variable reduction, and zoom feature are presented. To show its efficiency and effectiveness, the proposed ACO is applied to two types of ED problems with non-smooth cost functions. Firstly, the ED problem with valve-point loading effects consists of 13 and 40 generating units. Secondly, the ED problem considering the multiple fuels consists of 10 units. Additionally, the results of the proposed ACO are compared with those of the conventional heuristic approaches. The experimental results show that the proposed ACO approach is comparatively capable of obtaining higher quality solution and faster computational time. © 2009 Elsevier Ltd. All rights reserved.
dc.identifier.citationInternational Journal of Electrical Power and Energy Systems, 32(5), 478-487, 2010
dc.identifier.doi10.1016/j.ijepes.2009.09.016
dc.identifier.issn01420615
dc.identifier.other2-s2.0-77949570198
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/3071
dc.sourceInternational Journal of Electrical Power and Energy Systems
dc.subjectAnt colony optimisation
dc.subjectEconomic dispatch problem
dc.subjectGenetic algorithm
dc.subjectParticle swarm optimisation
dc.subjectTabu search
dc.titleAnt colony optimisation for economic dispatch problem with non-smooth cost functions
dc.typeArticle

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