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Solving non-convex economic dispatch problem using computational intelligence technique

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dc.contributor.authorMansor M.H.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorSaleh S.A.M.en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid35944613200en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid57201743907en_US
dc.date.accessioned2023-05-29T06:53:14Z
dc.date.available2023-05-29T06:53:14Z
dc.date.issued2018
dc.descriptionComputer programming; Immune system; Scheduling; Artificial Immune System; Computational intelligence techniques; Economic Dispatch; Evolutionary programming algorithms; Log-normal; Non-convex economic dispatches; Reliability test system; Valve-point loading effect; Electric load dispatchingen_US
dc.description.abstractThis paper presents Immune Log-Normal Evolutionary Programming (ILNEP) optimization technique to solve non-convex economic dispatch problem. ILNEP is developed by incorporating the immune system element and lognormal component in the original evolutionary programming (EP) algorithm. The proposed ILNEP technique is developed to improve the searching process for the global optima to solve the non-convex economic dispatch problem. Implementation on IEEE 14-Bus Reliability Test System revealed that ILNEP outperformed the original artificial immune system (AIS) and EP in achieving the lowest generation cost. � 2017 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/SAI.2017.8252099
dc.identifier.epage172
dc.identifier.scopus2-s2.0-85046011036
dc.identifier.spage168
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85046011036&doi=10.1109%2fSAI.2017.8252099&partnerID=40&md5=34d4a7dc54369c2320b91d1776164efd
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23927
dc.identifier.volume2018-January
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings of Computing Conference 2017
dc.titleSolving non-convex economic dispatch problem using computational intelligence techniqueen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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