scholarly journals Optimisation of zinc oxide surge arrester design using gravitational search algorithm and imperialist competitive algorithm

2019 ◽  
Vol 13 (3) ◽  
pp. 853
Author(s):  
Syahirah Abd Halim ◽  
Azah Mohamed ◽  
Nor Azwan Mohamed Kamari ◽  
Afida Ayob ◽  
Ab Halim Abu Bakar ◽  
...  
Keyword(s):  
Electric Field ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Imperialist Competitive Algorithm ◽  
Design Parameters ◽  
Element Analysis ◽  
Field Stress ◽  
Competitive Algorithm ◽  
Surge Arresters ◽  
Gravitational Search

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.

Design technique for leakage current reduction in surge arrester using gravitational search algorithm and imperialist competitive algorithm

2018 ◽  
Vol 37 (1) ◽  
pp. 357-374 ◽  
Author(s):  
Nurul Ain Abdul Latiff ◽  
Hazlee Azil Illias ◽  
Ab Halim Abu Bakar ◽  
Syahirah Abd Halim ◽  
Sameh Ziad Dabbak
Keyword(s):  
Leakage Current ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Imperialist Competitive Algorithm ◽  
Original Design ◽  
Element Analysis ◽  
Content Type ◽  
Competitive Algorithm ◽  
Surge Arresters ◽  
Gravitational Search

Purpose Leakage current is one of the factors, which can contribute towards degradation of surge arresters. Thus, the purpose of this paper is to study on leakage current within surge arresters and improvement on their design. Design/methodology/approach In this work, a three-dimensional model geometry of 11 kV zinc oxide surge arrester was designed in finite element analysis and was applied to calculate the leakage current under normal operating condition and being verified with measurement results. The optimisation methods were used to improve the arrester design by minimising the leakage current across the arrester using imperialist competitive algorithm (ICA) and gravitational search algorithm (GSA). Findings The arrester design in reducing leakage current was successfully optimised by varying the glass permittivity, silicone rubber permittivity and the width of the ground terminal of the surge arrester. It was found that the surge arrester design obtained using ICA has lower leakage current than GSA and the original design of the surge arrester. Practical implications The comparison between measurement and simulation enables factors that affect the mechanism of leakage current in surge arresters to be identified and provides the ideal design of arrester. Originality/value Surge arrester design was optimised by ICA and GSA, which has never been applied in past works in designing surge arrester with minimum leakage current.

Optimisation of corona ring design for composite insulator strings

2019 ◽  
Vol 38 (1) ◽  
pp. 232-246
Author(s):  
Kalaiselvi Aramugam ◽  
Hazlee Azil Illias ◽  
Yern Chee Ching
Keyword(s):  
Electric Field ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
String Model ◽  
Vertical Position ◽  
Element Analysis ◽  
Content Type ◽  
Electric Field Magnitude ◽  
Field Magnitude ◽  
Corona Ring

PurposeThe purpose of this paper is to propose an optimum design of a corona ring for insulator strings using optimisation techniques, which are gravitational search algorithm (GSA) and imperialist competitive algorithm (ICA).Design/methodology/approachAn insulator string model geometry with a corona ring was modelled in a finite element analysis software, and it was used to obtain the electric field distribution in the model. The design was optimised using GSA and ICA. The variables were the corona ring diameter, ring tube diameter and vertical position of the ring along the insulator string.FindingsUsing optimisation method, the minimum electric field magnitude on the insulator string with a corona ring design is lower than without using optimisation method. GSA yields better results than ICA in terms of the optimised corona ring design.Practical implicationsThe proposed methods can help in improvement of corona ring design in reducing the electric field magnitude on the energised end of insulator strings.Originality/valueA new method to design an optimum corona ring for insulator strings, which is using optimisation methods, has been developed in this work.

Analysis of Optimal Power Flow Using Gravitational Search Algorithm

2016 ◽  
Vol 3 (4) ◽  
pp. 1-11
Author(s):  
M. Lakshmikantha Reddy ◽  
◽  
M. Ramprasad Reddy ◽  
V.C. Veera Reddy ◽  
◽  
...  
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Power ◽  
Gravitational Search

Automatic Mining of Quantitative Association Rules with Gravitational Search Algorithm

2017 ◽  
Vol 27 (03) ◽  
pp. 343-372 ◽  
Author(s):  
Umit Can ◽  
Bilal Alatas
Keyword(s):  
Association Rules ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Fitness Function ◽  
Optimization Algorithms ◽  
Gravitational Search Algorithm ◽  
Search Space ◽  
Search Method ◽  
Quantitative Association Rules ◽  
Gravitational Search

The classical optimization algorithms are not efficient in solving complex search and optimization problems. Thus, some heuristic optimization algorithms have been proposed. In this paper, exploration of association rules within numerical databases with Gravitational Search Algorithm (GSA) has been firstly performed. GSA has been designed as search method for quantitative association rules from the databases which can be regarded as search space. Furthermore, determining the minimum values of confidence and support for every database which is a hard job has been eliminated by GSA. Apart from this, the fitness function used for GSA is very flexible. According to the interested problem, some parameters can be removed from or added to the fitness function. The range values of the attributes have been automatically adjusted during the time of mining of the rules. That is why there is not any requirements for the pre-processing of the data. Attributes interaction problem has also been eliminated with the designed GSA. GSA has been tested with four real databases and promising results have been obtained. GSA seems an effective search method for complex numerical sequential patterns mining, numerical classification rules mining, and clustering rules mining tasks of data mining.

Sign in / Sign up

Export Citation Format

Share Document