Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems

Ahmed Ginidi, Sherif M. Ghoneim, Abdallah Elsayed, Ragab El-Sehiemy, Abdullah Shaheen and Attia El-Fergany
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Ahmed Ginidi: Electrical Engineering Department, Faculty of Engineering, Suez University, Suez 43533, Egypt
Sherif M. Ghoneim: Electrical Engineering Department, College of Engineering, Taif University, Taif 21944, Saudi Arabia
Abdallah Elsayed: Electrical Engineering Department, Faculty of Engineering, Damietta University, Damietta 34517, Egypt
Ragab El-Sehiemy: Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh 33516, Egypt
Abdullah Shaheen: Electrical Engineering Department, Faculty of Engineering, Suez University, Suez 43533, Egypt
Attia El-Fergany: Electrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt

Sustainability, 2021, vol. 13, issue 16, 1-28

Abstract: The extraction of parameters of solar photovoltaic generating systems is a difficult problem because of the complex nonlinear variables of current-voltage and power-voltage. In this article, a new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models is created. GTO is inspired by gorilla group activities in which numerous strategies are imitated, including migration to an unknown area, moving to other gorillas, migration in the direction of a defined site, following the silverback, and competition for adult females. With numerical analyses of the Kyocera KC200GT PV and STM6-40/36 PV modules for the Single Diode (SD) and Double-Diode (DD), the validity of GTO is illustrated. Furthermore, the developed GTO is compared with the outcomes of recent algorithms in 2020, which are Forensic-Based Investigation Optimizer, Equilibrium Optimizer, Jellyfish Search Optimizer, HEAP Optimizer, Marine Predator Algorithm, and an upgraded MPA. GTO’s efficacy and superiority are expressed by calculating the standard deviations of the fitness values, which indicates that the SD and DD models are smaller than 1E?16, and 1E?6, respectively. In addition, validation of GTO for the KC200GT module is demonstrated with diverse irradiations and temperatures where great closeness between the emulated and experimental P-V and I-V curves is achieved under various operating conditions (temperatures and irradiations).

Keywords: electrical models of photovoltaic modules; gorilla troops optimizer; solar photovoltaic systems; comparative analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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