Improved grey wolf optimization algorithm for overcurrent relays coordination

Noor Zaihah, Jamal and Mohd Herwan, Sulaiman and Omar, Aliman and Zuriani, Mustaffa and Mohd Wazir, Mustafa (2019) Improved grey wolf optimization algorithm for overcurrent relays coordination. In: 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 , 3 - 4 Ogos 2018 , Shah Alam. pp. 1-6. (8657634). ISBN 978-153866321-9

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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)
Additional Information:	Indexed by SCOPUS
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 Electrical & Electronic Engineering Faculty of Computer System And Software Engineering
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	18 Jul 2019 07:08
Last Modified:	18 Jul 2019 07:08
URI:	http://umpir.ump.edu.my/id/eprint/24109
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