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A HYBRID MVO-BMO TECHNIQUE FOR PLUG-IN ELECTRIC VEHICLE CHARGING OPTIMIZATION

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dc.citedby0
dc.contributor.authorRazali N.M.en_US
dc.contributor.authorMohamad H.en_US
dc.contributor.authorAbidin A.F.en_US
dc.contributor.authorAli Z.en_US
dc.contributor.authorid53980259500en_US
dc.contributor.authorid36809989400en_US
dc.contributor.authorid26666522700en_US
dc.contributor.authorid25824589000en_US
dc.date.accessioned2025-03-03T07:41:53Z
dc.date.available2025-03-03T07:41:53Z
dc.date.issued2024
dc.description.abstractThe electric vehicle (EV) market is expanding rapidly around the world due to technological advancements, decreasing cost of batteries, and supportive government regulations. It is both a challenge and an opportunity for distribution utilities to manage the additional power demand from EVs. Effective and optimal EV charging scheduling strategies are essential to avoid the adverse effects of large EV penetration in the power grid system. This paper proposes an optimal plug-in electric vehicle (PEV) charging scheduling in a distribution grid system using a hybrid algorithm approach that combines a multiverse optimizer (MVO) and also a barnacle mating optimizer (BMO) termed as HMVO-BMO. The optimization model is developed with the objective to minimize the grid power loss, considering overnight home charging. Random arrival times of PEVs are considered and charging is scheduled based on available power demand on the distribution grid. The proposed methodology is demonstrated on the IEEE 33-bus system with different PEV penetration levels. Comparisons are made between three optimization algorithm approaches, namely the standard MVO and BMO, and the proposed HMVO-BMO algorithms. The simulation results demonstrated that the proposed hybrid technique can achieve better and efficient results in terms of system power loss. ? 2024 Penerbit UTM Press. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11113/jurnalteknologi.v86.20625
dc.identifier.epage34
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85202542091
dc.identifier.spage23
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85202542091&doi=10.11113%2fjurnalteknologi.v86.20625&partnerID=40&md5=09d85e059424d17be7f00e20b4aa01c0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36311
dc.identifier.volume86
dc.pagecount11
dc.publisherPenerbit UTM Pressen_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleJurnal Teknologi
dc.titleA HYBRID MVO-BMO TECHNIQUE FOR PLUG-IN ELECTRIC VEHICLE CHARGING OPTIMIZATIONen_US
dc.typeArticleen_US
dspace.entity.typePublication
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