Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays
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 NI...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/23870/ http://umpir.ump.edu.my/id/eprint/23870/1/Improved%20Grey%20Wolf%20Optimization%20Algorithm1.pdf |
| _version_ | 1848821907864944640 |
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| author | Noor Zaihah, Jamal M. H., Sulaiman Omar, Aliman Zuriani, Mustaffa Mohd Wazir, Mustafa |
| author_facet | Noor Zaihah, Jamal M. H., Sulaiman Omar, Aliman Zuriani, Mustaffa Mohd Wazir, Mustafa |
| author_sort | Noor Zaihah, Jamal |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:32:49Z |
| format | Conference or Workshop Item |
| id | ump-23870 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:32:49Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-238702019-01-22T07:13:49Z http://umpir.ump.edu.my/id/eprint/23870/ Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays Noor Zaihah, Jamal M. H., 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 2018 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23870/1/Improved%20Grey%20Wolf%20Optimization%20Algorithm1.pdf 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 (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Noor Zaihah, Jamal M. H., Sulaiman Omar, Aliman Zuriani, Mustaffa Mohd Wazir, Mustafa Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays |
| title | Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays |
| title_full | Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays |
| title_fullStr | Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays |
| title_full_unstemmed | Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays |
| title_short | Improved Grey Wolf Optimization Algorithm for Coordination of Overcurrent Relays |
| title_sort | improved grey wolf optimization algorithm for coordination of overcurrent relays |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/23870/ http://umpir.ump.edu.my/id/eprint/23870/1/Improved%20Grey%20Wolf%20Optimization%20Algorithm1.pdf |