Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method

This paper presents the development of overcurrent relay coordination (OCRC) problem formulation by implementing five well known metaheuristic algorithms that are Ant Lion Optimizer (ALO), Moth Flame Optimizer (MFO), Grey Wolf Optimizer (GWO), Particles Swarm Optimizer (PSO) and Barnacles Matting Op...

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Main Authors: Noor Zaihah, Jamal, Mohd Herwan, Sulaiman, Abdul, Nasir, Jabbar, Waheb A.
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42626/1/Optimal%20overcurrent%20relay%20solutions%20for%20protection%20coordination.pdf
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author Noor Zaihah, Jamal
Mohd Herwan, Sulaiman
Abdul, Nasir
Jabbar, Waheb A.
author_facet Noor Zaihah, Jamal
Mohd Herwan, Sulaiman
Abdul, Nasir
Jabbar, Waheb A.
author_sort Noor Zaihah, Jamal
collection UMP
description This paper presents the development of overcurrent relay coordination (OCRC) problem formulation by implementing five well known metaheuristic algorithms that are Ant Lion Optimizer (ALO), Moth Flame Optimizer (MFO), Grey Wolf Optimizer (GWO), Particles Swarm Optimizer (PSO) and Barnacles Matting Optimizer (BMO). The algorithms are assisted with penalty function method during the selection of new agents/ offsprings to confirm the generations that violated the constraints are superseded during the next generation selection. The OCRC is established by manipulating the current known as plus setting (PS) and time delay known as time multiplier setting (TMS) parameters. The optimized value of the TMS and PS will be selected using the algorithms to ensure the minimize result of the objective function. The algorithms are tested to three test systems which are IEEE 3 bus, 8 bus and 15 bus system to validate the efficiency and superiority of the proposed algorithms. The obtained results from those five algorithms are then compared. The simulation results show that MFO, BMO and GWO perform better objective function result and efficiently optimize the TMS and PS value of the OCRC problem without neglecting the inequality constraints.
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spelling UMPir426262024-09-23T02:28:21Z http://umpir.ump.edu.my/id/eprint/42626/ Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method Noor Zaihah, Jamal Mohd Herwan, Sulaiman Abdul, Nasir Jabbar, Waheb A. T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents the development of overcurrent relay coordination (OCRC) problem formulation by implementing five well known metaheuristic algorithms that are Ant Lion Optimizer (ALO), Moth Flame Optimizer (MFO), Grey Wolf Optimizer (GWO), Particles Swarm Optimizer (PSO) and Barnacles Matting Optimizer (BMO). The algorithms are assisted with penalty function method during the selection of new agents/ offsprings to confirm the generations that violated the constraints are superseded during the next generation selection. The OCRC is established by manipulating the current known as plus setting (PS) and time delay known as time multiplier setting (TMS) parameters. The optimized value of the TMS and PS will be selected using the algorithms to ensure the minimize result of the objective function. The algorithms are tested to three test systems which are IEEE 3 bus, 8 bus and 15 bus system to validate the efficiency and superiority of the proposed algorithms. The obtained results from those five algorithms are then compared. The simulation results show that MFO, BMO and GWO perform better objective function result and efficiently optimize the TMS and PS value of the OCRC problem without neglecting the inequality constraints. Semarak Ilmu Publishing 2024-07-28 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/42626/1/Optimal%20overcurrent%20relay%20solutions%20for%20protection%20coordination.pdf Noor Zaihah, Jamal and Mohd Herwan, Sulaiman and Abdul, Nasir and Jabbar, Waheb A. (2024) Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method. Journal of Advanced Research in Applied Sciences and Engineering Technology, 49 (1). pp. 245-271. ISSN 2462-1943. (Published) https://doi.org/10.37934/araset.49.1.245271 https://doi.org/10.37934/araset.49.1.245271
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Noor Zaihah, Jamal
Mohd Herwan, Sulaiman
Abdul, Nasir
Jabbar, Waheb A.
Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
title Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
title_full Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
title_fullStr Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
title_full_unstemmed Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
title_short Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
title_sort optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/42626/1/Optimal%20overcurrent%20relay%20solutions%20for%20protection%20coordination.pdf
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AT abdulnasir optimalovercurrentrelaysolutionsforprotectioncoordinationusingmetaheuristicsapproacheswithpenaltyfunctionmethod
AT jabbarwaheba optimalovercurrentrelaysolutionsforprotectioncoordinationusingmetaheuristicsapproacheswithpenaltyfunctionmethod