A sizing optimization of a hybrid system consisting of photovoltaic (PV) panels, a backup source
(microturbine or diesel), and a battery system minimizes the cost of energy production (COE), and a
complete design of this optimized system supplying a small community with power in the Palestinian
Territories is presented in this paper. A scenario that depends on a standalone PV, and another one that
depends on a backup source alone were analyzed in this study. The optimization was achieved via the
usage of genetic algorithm. The objective function minimizes the COE while covering the load demand
with a specified value for the loss of load probability (LLP). The global warming emissions costs have been
taken into account in this optimization analysis. Solar radiation data is firstly analyzed, and the tilt angle
of the PV panels is then optimized. It was discovered that powering a small rural community using this
hybrid system is cost-effective and extremely beneficial when compared to extending the utility grid to
supply these remote areas, or just using conventional sources for this purpose. This hybrid system
decreases both operating costs and the emission of pollutants. The hybrid system that realized these
optimization purposes is the one constructed from a combination of these sources.