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DOI: 10.14569/IJACSA.2018.091118
PDF

Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer

Author 1: Noor Zaihah Jamal
Author 2: Mohd Herwan Sulaiman
Author 3: Omar Aliman
Author 4: Zuriani Mustaffa

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 11, 2018.

  • Abstract and Keywords
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Abstract: 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.

Keywords: Time multiplier setting (TMS); plug setting (PS; grey wolf optimization algorithm (GWO); overcurrent relay coordination

Noor Zaihah Jamal, Mohd Herwan Sulaiman, Omar Aliman and Zuriani Mustaffa, “Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091118

@article{Jamal2018,
title = {Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091118},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091118},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {Noor Zaihah Jamal and Mohd Herwan Sulaiman and Omar Aliman and Zuriani Mustaffa}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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