A thorough technical and financial analysis of the Hybrid Renewable Energy System (HRES) at the University of Badr is presented in this study. This paper seeks to determine whether it is possible to meet load demand using the system that has the lowest net present cost (NPC). In order to achieve the best minimum objective value modified whale optimizer is used to choose the number of units among photovoltaic, wind, and battery banks. The widely used HOMER software, other optimizers are applied and their results are compared with those obtained by the modified whale to confirm the system's dependability, an annual energy balance analysis and simulation performance are completed. Wind energy, battery cost, and load have a greater impact on NPC than other factors, according to sensitivity analysis. To evaluate the performance and dynamics of the system, modelling and simulation are performed using MATLAB-Simulink at different scenarios with maximum power point tracking (MPPT) and without MPPT and changing weather conditions speed and shown performance of state of charge of battery with change of weather.