Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer

Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer

Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. In this paper, the implementation of NIA is reported to solve the overcurrent relay coordination problem. The purpose is to find the optimal value of the Time Multiplier Setting (TMS) and Plu...

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Main Authors: Noor Zaihah, Jamal, Mohd Herwan, Sulaiman, Omar, Aliman, Zuriani, Mustaffa
Format: Article
Language:English
Published: The Science and Information (SAI) Organization Limited 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/23864/
http://umpir.ump.edu.my/id/eprint/23864/
http://umpir.ump.edu.my/id/eprint/23864/
http://umpir.ump.edu.my/id/eprint/23864/1/Optimal%20Overcurrent%20Relays%20Coordination%20using%20an%20Improved%20Grey%20Wolf%20Optimizer.pdf
id ump-23864
recordtype eprints
spelling ump-238642019-01-18T08:32:14Z http://umpir.ump.edu.my/id/eprint/23864/ Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer Noor Zaihah, Jamal Mohd Herwan, Sulaiman Omar, Aliman Zuriani, Mustaffa TK Electrical engineering. Electronics Nuclear engineering Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. In this paper, the implementation of NIA is reported to solve the overcurrent relay coordination problem. The purpose is to find 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. The optimization is performed using the Improved Grey Wolf Optimization (IGWO) algorithm. Some modifications to the original GWO have been made to improve the candidate’s exploration ability. Comprehensive simulation studies have been performed to demonstrate the reliability and efficiency of the proposed modification technique compared to the conventional GWO and some well-known algorithms. The generated results have confirmed the proposed IGWO is able to optimize the objective function of the overcurrent relay coordination problem. The Science and Information (SAI) Organization Limited 2018 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/23864/1/Optimal%20Overcurrent%20Relays%20Coordination%20using%20an%20Improved%20Grey%20Wolf%20Optimizer.pdf Noor Zaihah, Jamal and Mohd Herwan, Sulaiman and Omar, Aliman and Zuriani, Mustaffa (2018) Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer. International Journal of Advanced Computer Science and Applications (IJACSA), 9 (11). pp. 117-125. ISSN 2156-5570(Online) http://dx.doi.org/10.14569/IJACSA.2018.091118 http://dx.doi.org/10.14569/IJACSA.2018.091118
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language 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
Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
description Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. In this paper, the implementation of NIA is reported to solve the overcurrent relay coordination problem. The purpose is to find 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. The optimization is performed using the Improved Grey Wolf Optimization (IGWO) algorithm. Some modifications to the original GWO have been made to improve the candidate’s exploration ability. Comprehensive simulation studies have been performed to demonstrate the reliability and efficiency of the proposed modification technique compared to the conventional GWO and some well-known algorithms. The generated results have confirmed the proposed IGWO is able to optimize the objective function of the overcurrent relay coordination problem.
format Article
author Noor Zaihah, Jamal
Mohd Herwan, Sulaiman
Omar, Aliman
Zuriani, Mustaffa
author_facet Noor Zaihah, Jamal
Mohd Herwan, Sulaiman
Omar, Aliman
Zuriani, Mustaffa
author_sort Noor Zaihah, Jamal
title Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
title_short Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
title_full Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
title_fullStr Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
title_full_unstemmed Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer
title_sort optimal overcurrent relays coordination using an improved grey wolf optimizer
publisher The Science and Information (SAI) Organization Limited
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23864/
http://umpir.ump.edu.my/id/eprint/23864/
http://umpir.ump.edu.my/id/eprint/23864/
http://umpir.ump.edu.my/id/eprint/23864/1/Optimal%20Overcurrent%20Relays%20Coordination%20using%20an%20Improved%20Grey%20Wolf%20Optimizer.pdf
first_indexed 2023-09-18T22:35:56Z
last_indexed 2023-09-18T22:35:56Z
_version_ 1777416594872336384

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