Improved grey wolf optimization algorithm for overcurrent relays coordination

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...

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Main Authors:	Noor Zaihah, Jamal, Mohd Herwan, Sulaiman, Omar, Aliman, Zuriani, Mustaffa, Mohd Wazir, Mustafa
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24109/ http://umpir.ump.edu.my/id/eprint/24109/ http://umpir.ump.edu.my/id/eprint/24109/1/48.%20Improved%20grey%20wolf%20optimization%20algorithm%20for%20overcurrent.pdf http://umpir.ump.edu.my/id/eprint/24109/2/48.1%20Improved%20grey%20wolf%20optimization%20algorithm%20for%20overcurrent.pdf

id	ump-24109
recordtype	eprints
spelling	ump-241092019-07-18T07:08:38Z http://umpir.ump.edu.my/id/eprint/24109/ Improved grey wolf optimization algorithm for overcurrent relays coordination Noor Zaihah, Jamal Mohd Herwan, Sulaiman Omar, Aliman Zuriani, Mustaffa Mohd Wazir, Mustafa TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2019-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24109/1/48.%20Improved%20grey%20wolf%20optimization%20algorithm%20for%20overcurrent.pdf pdf en http://umpir.ump.edu.my/id/eprint/24109/2/48.1%20Improved%20grey%20wolf%20optimization%20algorithm%20for%20overcurrent.pdf 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 https://doi.org/10.1109/ICSGRC.2018.8657634
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Noor Zaihah, Jamal Mohd Herwan, Sulaiman Omar, Aliman Zuriani, Mustaffa Mohd Wazir, Mustafa Improved grey wolf optimization algorithm for overcurrent relays coordination
description	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.
format	Conference or Workshop Item
author	Noor Zaihah, Jamal Mohd Herwan, Sulaiman Omar, Aliman Zuriani, Mustaffa Mohd Wazir, Mustafa
author_facet	Noor Zaihah, Jamal Mohd Herwan, Sulaiman Omar, Aliman Zuriani, Mustaffa Mohd Wazir, Mustafa
author_sort	Noor Zaihah, Jamal
title	Improved grey wolf optimization algorithm for overcurrent relays coordination
title_short	Improved grey wolf optimization algorithm for overcurrent relays coordination
title_full	Improved grey wolf optimization algorithm for overcurrent relays coordination
title_fullStr	Improved grey wolf optimization algorithm for overcurrent relays coordination
title_full_unstemmed	Improved grey wolf optimization algorithm for overcurrent relays coordination
title_sort	improved grey wolf optimization algorithm for overcurrent relays coordination
publisher	IEEE
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24109/ http://umpir.ump.edu.my/id/eprint/24109/ http://umpir.ump.edu.my/id/eprint/24109/1/48.%20Improved%20grey%20wolf%20optimization%20algorithm%20for%20overcurrent.pdf http://umpir.ump.edu.my/id/eprint/24109/2/48.1%20Improved%20grey%20wolf%20optimization%20algorithm%20for%20overcurrent.pdf
first_indexed	2023-09-18T22:36:19Z
last_indexed	2023-09-18T22:36:19Z
_version_	1777416619293671424

Improved grey wolf optimization algorithm for overcurrent relays coordination

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