A Novel Application of Improved Marine Predators Algorithm and Particle Swarm Optimization for Solving the ORPD Problem

Mohamed A. M. Shaheen, Dalia Yousri, Ahmed Fathy, Hany M. Hasanien, Abdulaziz Alkuhayli and S. M. Muyeen
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Mohamed A. M. Shaheen: Electrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Dalia Yousri: Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 63514, Egypt
Ahmed Fathy: Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakakah 74331, Saudi Arabia
Hany M. Hasanien: Electrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Abdulaziz Alkuhayli: Department of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
S. M. Muyeen: School of Electrical Engineering Computing and Mathematical Sciences, Curtin University, Perth 6102, Australia

Energies, 2020, vol. 13, issue 21, 1-23

Abstract: The appropriate planning of electric power systems has a significant effect on the economic situation of countries. For the protection and reliability of the power system, the optimal reactive power dispatch (ORPD) problem is an essential issue. The ORPD is a non-linear, non-convex, and continuous or non-continuous optimization problem. Therefore, introducing a reliable optimizer is a challenging task to solve this optimization problem. This study proposes a robust and flexible optimization algorithm with the minimum adjustable parameters named Improved Marine Predators Algorithm and Particle Swarm Optimization (IMPAPSO) algorithm, for dealing with the non-linearity of ORPD. The IMPAPSO is evaluated using various test cases, including IEEE 30 bus, IEEE 57 bus, and IEEE 118 bus systems. An effectiveness of the proposed optimization algorithm was verified through a rigorous comparative study with other optimization methods. There was a noticeable enhancement in the electric power networks behavior when using the IMPAPSO method. Moreover, the IMPAPSO high convergence speed was an observed feature in a comparison with its peers.

Keywords: marine predator algorithm; optimal reactive power dispatch; power losses; power system operation (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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