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

Birds; 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); Grav...

Full description

Saved in:
Bibliographic Details
Main Authors: Illias H.A., Zern Hong C., Aramugam K., Mokhlis H., Ariffin A.M., Fairouz Mohd Yousof M.
Other Authors: 26633053900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-26098
record_format dspace
spelling my.uniten.dspace-260982023-05-29T17:06:47Z Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm Illias H.A. Zern Hong C. Aramugam K. Mokhlis H. Ariffin A.M. Fairouz Mohd Yousof M. 26633053900 57226571755 57204002764 8136874200 16400722400 36547024400 Birds; 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 materials A 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. Final 2023-05-29T09:06:47Z 2023-05-29T09:06:47Z 2021 Conference Paper 10.1109/ICPADM49635.2021.9493910 2-s2.0-85111970054 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111970054&doi=10.1109%2fICPADM49635.2021.9493910&partnerID=40&md5=4d97edad78cae5e46c778a18aa976e7f https://irepository.uniten.edu.my/handle/123456789/26098 2021-July 9493910 13 16 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Birds; 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 materials
author2 26633053900
author_facet 26633053900
Illias H.A.
Zern Hong C.
Aramugam K.
Mokhlis H.
Ariffin A.M.
Fairouz Mohd Yousof M.
format Conference Paper
author Illias H.A.
Zern Hong C.
Aramugam K.
Mokhlis H.
Ariffin A.M.
Fairouz Mohd Yousof M.
spellingShingle Illias H.A.
Zern Hong C.
Aramugam K.
Mokhlis H.
Ariffin A.M.
Fairouz Mohd Yousof M.
Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm
author_sort Illias H.A.
title Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm
title_short Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm
title_full Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm
title_fullStr Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm
title_full_unstemmed Optimization of Grading Ring Design for Metal Oxide Arrester Using Gravitational Search Algorithm
title_sort optimization of grading ring design for metal oxide arrester using gravitational search algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806426542424719360
score 13.222552