Optimal Sizing of an Off-Grid PV/Diesel/Battery Storage System Using Gorilla Troops Optimizer

Abstract

In this work, a new optimization approach of Artificial Gorilla Troops Optimizer Algorithm (GTO) is proposed to design an optimal sizing of a microgrid system that includes photovoltaic (PV) panels, a diesel generator (DG), and a battery storage system to feed the electricity to new west Qena city, Egypt based on meteorological data of this area. GTO method is used to design microgrid parts due to its high effectiveness in determining the optimal solution in a short time. The objective function of this paper is to reduce the system's cost of energy (COE), minimize the net present cost of the proposed hybrid system (NPC), and calculate the probability of insufficient power supply operation using the factor of loss of power supply probability at the system parts (LPSP). In this paper, statistical analysis is used to determine the optimization methods' capability in finding the optimal solution. The results obtained by GTO are compared with other known optimizers, namely Ant Lion optimization (ALO) and Gray Wolf optimizer (GWO), in order to prove the effectiveness of GTO approach. The results of the simulation indicate that the best design of the system is achieved by GTO over the other algorithms.