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Immune-Commensal-Evolutionary Programming for solving non-smooth/non-convex economic dispatch problem

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dc.citedby1
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorZamani M.K.M.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorJelani S.en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35944613200en_US
dc.contributor.authorid57193428895en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid57193388570en_US
dc.date.accessioned2023-05-29T08:06:50Z
dc.date.available2023-05-29T08:06:50Z
dc.date.issued2020
dc.descriptionAutomatic identification; Computer programming; Scheduling; Artificial Immune System; Economic dispatch problems; Globaloptimum; Hybrid optimization; Hybrid techniques; Non-convex economic dispatches; Optimization techniques; Reliability test system; Electric load dispatchingen_US
dc.description.abstractThis paper presents the development of a new hybrid optimization technique termed as Immune-Commensal-Evolutionary Programming (ICEP) and its implementation to solve non-smooth/ non-convex Economic Dispatch (ED) problem. ICEP is developed with the objective to overcome the drawbacks of single optimization techniques like evolutionary programming (EP), Artificial Immune System (AIS) and Symbiotic Organisms Search (SOS). The idea of developing this ICEP technique is to gather the strengths from the three single optimization techniques: EP, AIS and SOS to form a new hybrid technique that can solve non-smooth/ non-convex ED problem accurately. This hybrid technique has better performance in finding the global optima of non-smooth/ non-convex ED problem compared to the single optimization techniques. The typical drawback of the single optimization techniques is immature convergence, especially EP and AIS techniques. ICEP can avoid this from happening by thoroughly directing the searching process to its global optima. The proposed ICEP technique has been tested on the IEEE 30-Bus Reliability Test System (RTS) and IEEE 57-Bus Reliability Test System (RTS) with three case studies. It is found that ICEP is superior than EP and AIS in producing better non-smooth/ non-convex ED solution. � 2020 The Author(s)en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.egyr.2020.11.245
dc.identifier.epage275
dc.identifier.scopus2-s2.0-85098862400
dc.identifier.spage266
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85098862400&doi=10.1016%2fj.egyr.2020.11.245&partnerID=40&md5=26d2967f0e94cf85b9427e8855460db1
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25111
dc.identifier.volume6
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleEnergy Reports
dc.titleImmune-Commensal-Evolutionary Programming for solving non-smooth/non-convex economic dispatch problemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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