Developed Gorilla Troops Technique for Optimal Power Flow Problem in Electrical Power Systems

Abdullah Shaheen, Ahmed Ginidi, Ragab El-Sehiemy, Abdallah Elsayed, Ehab Elattar and Hassen T. Dorrah
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Abdullah Shaheen: Department of Electrical Engineering, Faculty of Engineering, Suez University, Suez 43533, Egypt
Ahmed Ginidi: Department of Electrical Engineering, Faculty of Engineering, Suez University, Suez 43533, Egypt
Ragab El-Sehiemy: Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt
Abdallah Elsayed: Department of Electrical Engineering, Faculty of Engineering, Damietta University, Damietta 34517, Egypt
Ehab Elattar: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Hassen T. Dorrah: Department of Electrical Engineering, Cairo University, Giza 12613, Egypt

Mathematics, 2022, vol. 10, issue 10, 1-29

Abstract: This paper presents a developed solution based on gorilla troops optimization technique for OPFP in EPSs. The GTOT is motivated by gorillas’ group behaviors in which several methods are replicated, such as migration to an unfamiliar location, traveling to other gorillas, migration toward a specific spot, accompanying the silverback, and competing for adult females. The multi-dimension OPFP in EPSs is examined in this article with numerous optimizing objectives of fuel cost, power losses, and harmful pollutants. The system’s power demand and transmission losses must be met as well. The developed GTOT’s evaluation is conducted using an IEEE standard 30-bus EPS and practical EPS from Egypt. The created GTOT is employed in numerous evaluations and statistical analyses using many modern methods such as CST, GWT, ISHT, NBT, and SST. When compared to other similar approaches in the literature, the simulated results demonstrate the GTOT’s solution efficiency and robustness.

Keywords: gorilla troops optimization technique; electrical power systems; optimal power flow; harmful pollutants; fuel costs; power losses (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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