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Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm

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dc.contributor.authorIllias H.A.en_US
dc.contributor.authorZern Hong C.en_US
dc.contributor.authorAramugam K.en_US
dc.contributor.authorMokhlis H.en_US
dc.contributor.authorAriffin A.M.en_US
dc.contributor.authorFairouz Mohd Yousof M.en_US
dc.contributor.authorid26633053900en_US
dc.contributor.authorid57226571755en_US
dc.contributor.authorid57204002764en_US
dc.contributor.authorid8136874200en_US
dc.contributor.authorid16400722400en_US
dc.contributor.authorid36547024400en_US
dc.date.accessioned2023-05-29T09:06:47Z
dc.date.available2023-05-29T09:06:47Z
dc.date.issued2021
dc.descriptionBirds; Electric fields; Genetic algorithms; Grading; Learning algorithms; Metallic compounds; Metals; Particle swarm optimization (PSO); Rings (components); Simulated annealing; Surge protection; Comsol multiphysics; Electric field magnitude; Grading rings; Gravitational search algorithm (GSA); Gravitational search algorithms; Metal oxide arrester; Optimization method; Optimum designs; Dielectric materialsen_US
dc.description.abstractA high voltage metal oxide arrester (MOA) is used to protect power system against overvoltages. The electric field surrounding the MOA can be made uniform by installing a grading ring. It is important to have a proper way to design a grading ring with low electric field of the design. In this project, a model of 150 kV MOA was developed in COMSOL Multiphysics software. The grading ring dimensions were varied to study their effects on the electric field surrounding MOA. It was found that the grading ring dimensions strongly influence the electric field magnitude surrounding the arrester. Gravitational search algorithm (GSA) were used to obtain the optimum design of the grading ring for the MOA model. Comparison of the results between GSA and other optimization methods shows that GSA is the most suitable method to obtain an optimum design of the grading ring for MOA compared to genetic algorithm (GA), particle swarm optimization (PSO) and simulated annealing (SA). This is due to it yields the lowest electric field magnitude and has the fastest convergence. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9493910
dc.identifier.doi10.1109/ICPADM49635.2021.9493910
dc.identifier.epage16
dc.identifier.scopus2-s2.0-85111970054
dc.identifier.spage13
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85111970054&doi=10.1109%2fICPADM49635.2021.9493910&partnerID=40&md5=4d97edad78cae5e46c778a18aa976e7f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26098
dc.identifier.volume2021-July
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings of the IEEE International Conference on Properties and Applications of Dielectric Materials
dc.titleOptimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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