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...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
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 |