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A Chameleon algorithm for solving economic dispatch problem in microgrid system

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dc.citedby7
dc.contributor.authorZahraoui Y.en_US
dc.contributor.authorAlhamrouni I.en_US
dc.contributor.authorMekhilef S.en_US
dc.contributor.authorKor�tko T.en_US
dc.contributor.authorJusoh A.en_US
dc.contributor.authorSutikno T.en_US
dc.contributor.authorid57223913703en_US
dc.contributor.authorid56382973200en_US
dc.contributor.authorid57928298500en_US
dc.contributor.authorid55948587900en_US
dc.contributor.authorid55912655300en_US
dc.contributor.authorid35794013800en_US
dc.date.accessioned2024-10-14T03:17:46Z
dc.date.available2024-10-14T03:17:46Z
dc.date.issued2023
dc.description.abstractThe economic power dispatch (ED) is considered a critical optimization issue in the power system and microgrid. There are several objectives through the economic load dispatch issues such as reducing the operating cost, total emission, or start-up operations. This paper presents a Chameleon swarm algorithm (CSA) for determining the optimal ED of distributed energy resources (DER) in the microgrid. The proposed technique numerically mimics and executes chameleons' behavioral processes to their quest for food, such as their action for rotating their eyes to identify and grab prey using the speed of their sticky tongues. In this study, the CSA has been applied to obtain the optimal power dispatch from DER using the photovoltaic (PV) plants, combined heat power (CHP) systems, and traditional diesel generators. The obtained results from the simulation are compared with the conventional metaheuristic algorithms which have been used in previous studies, such as particle swarm optimization (PSO), genetic algorithm (GA), and artificial bee colony (ABC). Experimentally, the proposed algorithm for solving the ED problem determined the best value of the power dispatch and high performance compared to other metaheuristics methods. � 2023, Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/eei.v12i4.4700
dc.identifier.epage1992
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85150816316
dc.identifier.spage1982
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85150816316&doi=10.11591%2feei.v12i4.4700&partnerID=40&md5=743273fed06932b3400166d388adb911
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34047
dc.identifier.volume12
dc.pagecount10
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleBulletin of Electrical Engineering and Informatics
dc.subjectChameleon swarm algorithm
dc.subjectEconomic power dispatch
dc.subjectMicrogrid
dc.subjectOptimization
dc.titleA Chameleon algorithm for solving economic dispatch problem in microgrid systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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