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Performance Evaluation of HEBMO for Non-convex Economic Dispatch Problems Under Contingencies

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dc.contributor.authorIsmail N.L.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorDahlan N.Y.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorSentilkumar A.V.en_US
dc.contributor.authorJohari D.en_US
dc.contributor.authorid57190935802en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid24483200900en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid58068868900en_US
dc.contributor.authorid24733632200en_US
dc.date.accessioned2023-05-29T09:38:54Z
dc.date.available2023-05-29T09:38:54Z
dc.date.issued2022
dc.descriptionComputer programming; Economic analysis; Electric industry; Electric power system economics; Evolutionary algorithms; Operating costs; Barnacle mating optimizer; Economic dispatch problems; Matings; Non-convex economic load dispatch; Nonconvex economic dispatches; Optimisations; Optimizers; Performances evaluation; Ramp rate limits; Reliability test system; Electric load dispatchingen_US
dc.description.abstractEconomic dispatch study is important in the electric power industry because it is concerned with efficient electrical power production and economics. It is crucial to reduce the operating costs of electric energy because even small savings have a large impact on total generation costs and fuel consumption. This paper presents the proposed algorithm namely Hybrid Evolutionary-Barnacles Mating Optimization (HEBMO) to solve non-convex economic dispatch (ED) problems specifically under the line and generator outages. The evaluation is tested on two types of reliability test systems (RTS), named IEEE 30-Bus RTS and IEEE 57-Bus RTS. HEBMO is compared to a single optimization algorithm, EP and BMO for performance evaluation purposes. The results show that the HEBMO algorithm outperforms EP and BMO in terms of minimizing the generation cost. On the other hand, HEBMO also achieves a convincing performance in terms of fast computational time. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/PECon54459.2022.9988900
dc.identifier.epage286
dc.identifier.scopus2-s2.0-85146416702
dc.identifier.spage281
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85146416702&doi=10.1109%2fPECon54459.2022.9988900&partnerID=40&md5=04b2e721b09259157c880853b988e994
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27039
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022
dc.titlePerformance Evaluation of HEBMO for Non-convex Economic Dispatch Problems Under Contingenciesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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