Optimal Coordination of Directional Overcurrent Relays Using Hybrid Firefly–Genetic Algorithm

Tareq Foqha (), Maher Khammash, Samer Alsadi, Osama Omari, Shady S. Refaat, Khaled Al-Qawasmi and Ali Elrashidi ()
Additional contact information
Tareq Foqha: Department of Electrical Engineering, Faculty of Engineering and Information Technology, Arab American University, Jenin P.O. Box 240, Palestine
Maher Khammash: Department of Electrical Engineering, An-Najah National University, Nablus P.O. Box 7, Palestine
Samer Alsadi: Department of Electrical Engineering, Palestine Technical University-Kadoorie, Tulkarm P305, Palestine
Osama Omari: Department of Electrical Engineering, Faculty of Engineering and Information Technology, Arab American University, Jenin P.O. Box 240, Palestine
Shady S. Refaat: Electrical and Computer Engineering Department, Texas A&M University at Qatar, Doha P.O. Box 23874, Qatar
Khaled Al-Qawasmi: Cybersecurity Department, Zarqa University, Zarqa 13133, Jordan
Ali Elrashidi: Electrical Engineering Department, College of Engineering, University of Business and Technology, Jeddah 21589, Saudi Arabia

Energies, 2023, vol. 16, issue 14, 1-28

Abstract: The application of directional overcurrent relays (DOCRs) plays an important role in protecting power systems and ensuring their safe, reliable, and efficient operation. However, coordinating DOCRs involves solving a highly constrained and nonlinear optimization problem. The primary objective of optimization is to minimize the total operating time of DOCRs by determining the optimal values for decision variables such as the time multiplier setting (TMS) and plug setting (PS). This article presents an efficient hybrid optimization algorithm that combines the modified firefly algorithm and genetic algorithm to achieve improved solutions. First, this study modifies the firefly algorithm to obtain a global solution by updating the firefly’s brightness and to prevent the distance between the individual fireflies from being too far. Additionally, the randomized movements are controlled to produce a high convergence rate. Second, the optimization problem is solved using the genetic algorithm. Finally, the solution obtained from the modified firefly algorithm is used as the initial population for the genetic algorithm. The proposed algorithms have been tested on the IEEE 3-bus, 8-bus, 9-bus and 15-bus networks. The results indicate the effectiveness and superiority of the proposed algorithms in minimizing the total operating time of DOCRs compared with other optimization methods presented in the literature.

Keywords: directional overcurrent relay coordination; genetic algorithm; firefly algorithm; hybrid optimization algorithms; power system protection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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