Optimal sizing of an off-grid hybrid photovoltaic/biomass gasifier/battery system using a quantum model of Runge Kutta algorithm

In this paper, an isolated hybrid power system (HPS) is simulated and analyzed to obtain the optimal sizing and meet the electricity demand with cost improvement for servicing Alrashda village, which is a small village of the Dakhla Oasis villages in the New Valley, Egypt. The major configuration of this HPS is Photovoltaic panels (PV), Biomass gasifier, and Batteries units. A Quantum model of a RUNge Kutta optimization algorithm called QRUN algorithm is applied to guarantee that all load needs are covered with high reliability with the minimum cost of energy (COE) of the proposed system. To ensure the superiority of the QRUN technique, its results are compared with those obtained by the original optimization algorithm RUNge Kutta optimization algorithm (RUN), and a well-known optimization algorithm, Aquila optimizer algorithm (AO) and Gray Wolf algorithm (GWO). The simulation results show that the modification QRUN algorithm gives the best Fitness Function with 0.080076 $/kWh of the COE, net present cost (NPC) with 3,352,062 $, and loss of power supply probability (LPSP) with 0.490866.