Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays

Noor Zaihah, Jamal and M. H., Sulaiman and Omar, Aliman and Zuriani, Mustaffa and Mohd Wazir, Mustafa (2018) Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays. In: 9th IEEE Control And System Graduate Research Colloquium (ICSGRC 2018) , 3-4 August 2018 , Shah Alam, Selangor. pp. 7-12.. ISBN 978-1-5386-6320-2

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Abstract

Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problem such as biomedical engineering, electrical engineering, computer science and etc. The achievement of NIA in solving optimization in these fields becoming the motivation to apply one of the NIA namely Grey Wolf Optimizer (GWO) into overcurrent relay coordination problem. However, the current state of GWO suffers lack of exploration problem. Hence, the improvement of GWO has been proposed in this paper to enhance the exploration of original GWO. The improvement of GWO (IGWO) is implemented in finding the the optimal value of the Time Multiplier Setting (TMS) and Plug Setting (PS) in order to minimize the primary relays’ operating time at the near end fault. Comprehensive simulation studies have been performed to demonstrate the reliability and efficiency of the proposed modification technique compared to the original GWO. The generated results have confirmed the proposed IGWO is able to improve the objective function of the overcurrent relay coordination problem.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Time multiplier setting; plug setting; grey wolf optimization algorithm; overcurrent relay coordination
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 22 Jan 2019 07:13
Last Modified: 22 Jan 2019 07:13
URI: http://umpir.ump.edu.my/id/eprint/23870
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