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A hybrid optimization technique for solving economic dispatch problem

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dc.citedby3
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorRaja Kechek R.M.S.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorRahmat N.A.en_US
dc.contributor.authorRahman M.S.A.en_US
dc.contributor.authorRoslan N.en_US
dc.contributor.authorAbdullah M.N.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorAziz N.F.A.en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid57203358745en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid55647163881en_US
dc.contributor.authorid36609854400en_US
dc.contributor.authorid57205233093en_US
dc.contributor.authorid55193828700en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid57221906825en_US
dc.date.accessioned2023-05-29T06:51:32Z
dc.date.available2023-05-29T06:51:32Z
dc.date.issued2018
dc.descriptionComputer programming; Costs; Heuristic methods; Optimization; Problem solving; Scheduling; Artificial Immune System; Economic dispatch problems; Meta-heuristic techniques; Operational planning; Optimization techniques; Population-based optimization; Power system engineers; Total production cost; Electric load dispatchingen_US
dc.description.abstractEconomic dispatch (ED) is one the main power system problems solved during operational planning phase. It is solved by power system engineers with the objective to find the best setting of dispatchable generating units output so that the total production cost is cheap and at the same time abiding the system constraints. For the past ten years, researchers and engineers have been focusing on hybrid optimization techniques to solve ED problems. The strength of each hybridized technique is combined to form an improved optimization technique. Most of the hybrid techniques are combination of two or more meta-heuristic techniques. This paper proposed a new hybrid technique termed as immune evolutionary programming (IEP) to solve economic dispatch problem. The technique is a combination of two population based optimization techniques which are artificial immune system (AIS) and evolutionary programming (EP). In order to study the effectiveness of the proposed technique, the results produced have been compared with the results produced using AIS and EP techniques. It is found that IEP succeeded to give the lowest total production cost compared to the other two techniques. � Published under licence by IOP Publishing Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo12035
dc.identifier.doi10.1088/1742-6596/1049/1/012035
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85051374808
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051374808&doi=10.1088%2f1742-6596%2f1049%2f1%2f012035&partnerID=40&md5=aaa6f5c6648a76ddbec8a5f208d479b4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23753
dc.identifier.volume1049
dc.publisherInstitute of Physics Publishingen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleJournal of Physics: Conference Series
dc.titleA hybrid optimization technique for solving economic dispatch problemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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