Optimization of grading ring design for metal oxide arrester using gravitational search algorithm

Illias, Hazlee Azil and Hong, Chea Zern and Aramugam, Kalaiselvi and Mokhlis, Hazlie and Mohd Ariffin, Azrul and Mohd Yousof, Mohd Fairouz Optimization of grading ring design for metal oxide arrester using gravitational search algorithm. In: 2021 International Conference on the Properties and Applications of Dielectric Materials, 12-14 July 2021, Kuala Lumpur. (Submitted)

Profesor madya Ir. Dr. Hazlee Azil bin Illias_Optimization of Grading Ring Design for Metal.pdf

Download (390kB) | Preview


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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Grading ring design; Metal oxide arrester; Gravitational search algorithm
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms Noorsuzila Mohamad
Date Deposited: 14 Oct 2022 02:40
Last Modified: 14 Oct 2022 02:40
URI: http://eprints.um.edu.my/id/eprint/35392

Actions (login required)

View Item View Item