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Multiverse optimisation based technique for solving economic dispatch in power system

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dc.citedby2
dc.contributor.authorSuhaimi M.H.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorHidayab M.en_US
dc.contributor.authorJelani S.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorid57216323227en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35790138900en_US
dc.contributor.authorid57193388570en_US
dc.contributor.authorid56372667100en_US
dc.date.accessioned2023-05-29T08:07:22Z
dc.date.available2023-05-29T08:07:22Z
dc.date.issued2020
dc.description.abstractEconomic dispatch (ED) is one of the many important components in a power system operation. It is designed to calculate the exact amount of power generation needed to ensure a minimum cost of generation. A power system with multiple generators should be running under an economic condition. The operating cost has to be minimised for any feasible load demand. The increase of power demand is getting higher throughout the year. Economic dispatch is used to schedule and control all output of the fossil-fuel or coal-generators to satisfy the system load demand at a minimum cost. This paper presents the Multiverse Optimisation (MVO) for solving the economic dispatch in a power system. The proposed Multiverse optimisation engine developed in this study is implemented on the IEEE 30-Bus Reliability Test System (RTS). It has five generators, all of which are denoted as the control variables for the optimisation process. To reveal the superiority of MVO, a similar process was conducted using Evolutionary Programming (EP). Results from both techniques were compared, and it was revealed that MVO had outperformed EP in terms of reduced cost of generation for the system. Copyright � 2020 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v20.i1.pp485-491
dc.identifier.epage491
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85091074518
dc.identifier.spage485
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85091074518&doi=10.11591%2fijeecs.v20.i1.pp485-491&partnerID=40&md5=3093a0a45979baa5064ce54f7471412c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25209
dc.identifier.volume20
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleMultiverse optimisation based technique for solving economic dispatch in power systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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