Abstract
Reducing electric field stress near the energised end of surge arresters is very important because it may increase the lifetime of the highly stressed ZnO column in vicinity of the high voltage electrode. Most of previous works were based on manufacturers’ procedures and trial and error method to improve the surge arrester designs. In this work, optimisation of ZnO surge arrester design models using Gravitational Search Algorithm (GSA) and Imperialist Competitive Algorithm (ICA) is proposed. The surge arrester models were developed using finite element analysis (FEA) and used to determine the electric field distribution. The optimisation methods were used to determine the arrester design parameters which yield the minimum electric field stress surrounding the energized end of the surge arresters. GSA is less complex since it requires only two parameters to be adjusted i.e. mass and velocity while ICA demonstrates faster convergence and better achievement of global optimum. The performance of the proposed methods was then compared with the manufacturer’s test data and previously developed methods.
| Original language | English |
|---|---|
| Pages (from-to) | 853-860 |
| Number of pages | 8 |
| Journal | Indonesian Journal of Electrical Engineering and Computer Science |
| Volume | 13 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Mar 2019 |
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Keywords
- Arrester design
- Electric field optimization
- Finite element analysis
ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Networks and Communications
- Control and Optimization
- Electrical and Electronic Engineering
Cite this
Optimisation of zinc oxide surge arrester design using gravitational search algorithm and imperialist competitive algorithm. / Halim, Syahirah Abd; Mohamed, Azah; Kamari, Nor Azwan Mohamed; Ayob, Afida; Bakar, Ab Halim Abu; Illias, Hazlee Azil.
In: Indonesian Journal of Electrical Engineering and Computer Science, Vol. 13, No. 3, 01.03.2019, p. 853-860.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimisation of zinc oxide surge arrester design using gravitational search algorithm and imperialist competitive algorithm
AU - Halim, Syahirah Abd
AU - Mohamed, Azah
AU - Kamari, Nor Azwan Mohamed
AU - Ayob, Afida
AU - Bakar, Ab Halim Abu
AU - Illias, Hazlee Azil
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Reducing electric field stress near the energised end of surge arresters is very important because it may increase the lifetime of the highly stressed ZnO column in vicinity of the high voltage electrode. Most of previous works were based on manufacturers’ procedures and trial and error method to improve the surge arrester designs. In this work, optimisation of ZnO surge arrester design models using Gravitational Search Algorithm (GSA) and Imperialist Competitive Algorithm (ICA) is proposed. The surge arrester models were developed using finite element analysis (FEA) and used to determine the electric field distribution. The optimisation methods were used to determine the arrester design parameters which yield the minimum electric field stress surrounding the energized end of the surge arresters. GSA is less complex since it requires only two parameters to be adjusted i.e. mass and velocity while ICA demonstrates faster convergence and better achievement of global optimum. The performance of the proposed methods was then compared with the manufacturer’s test data and previously developed methods.
AB - Reducing electric field stress near the energised end of surge arresters is very important because it may increase the lifetime of the highly stressed ZnO column in vicinity of the high voltage electrode. Most of previous works were based on manufacturers’ procedures and trial and error method to improve the surge arrester designs. In this work, optimisation of ZnO surge arrester design models using Gravitational Search Algorithm (GSA) and Imperialist Competitive Algorithm (ICA) is proposed. The surge arrester models were developed using finite element analysis (FEA) and used to determine the electric field distribution. The optimisation methods were used to determine the arrester design parameters which yield the minimum electric field stress surrounding the energized end of the surge arresters. GSA is less complex since it requires only two parameters to be adjusted i.e. mass and velocity while ICA demonstrates faster convergence and better achievement of global optimum. The performance of the proposed methods was then compared with the manufacturer’s test data and previously developed methods.
KW - Arrester design
KW - Electric field optimization
KW - Finite element analysis
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U2 - 10.11591/ijeecs.v13.i3.pp853-860
DO - 10.11591/ijeecs.v13.i3.pp853-860
M3 - Article
VL - 13
SP - 853
EP - 860
JO - Indonesian Journal of Electrical Engineering and Computer Science
JF - Indonesian Journal of Electrical Engineering and Computer Science
SN - 2502-4752
IS - 3
ER -