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

Author:

Foqha Tareq1ORCID,Khammash Maher2,Alsadi Samer3ORCID,Omari Osama1,Refaat Shady S.45ORCID,Al-Qawasmi Khaled6ORCID,Elrashidi Ali7ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering and Information Technology, Arab American University, Jenin P.O. Box 240, Palestine

2. Department of Electrical Engineering, An-Najah National University, Nablus P.O. Box 7, Palestine

3. Department of Electrical Engineering, Palestine Technical University-Kadoorie, Tulkarm P305, Palestine

4. Electrical and Computer Engineering Department, Texas A&M University at Qatar, Doha P.O. Box 23874, Qatar

5. School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9EU, UK

6. Cybersecurity Department, Zarqa University, Zarqa 13133, Jordan

7. Electrical Engineering Department, College of Engineering, University of Business and Technology, Jeddah 21589, Saudi Arabia

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.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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