he need for energy is at an increasing pace and it cannot be easily fulfilled by the normal energy systems which affect the environment in various ways. To overcome this problem, a hybrid power system (HPS) is used nowadays which is a combination of energy systems based on renewable and non-renewable. This study presents a wind hybrid energy system using a modified genetic algorithm mainly aimed at minimizing the implementation cost, and emission levels, and maximizing the high power supply reliability. The optimization results are improved by integrating the sizing methods to prevent load interruptions. The fitness function of the modified GA is set as power supply probability (LPSP) loss and nonrenewable energy factor (NREF). This model is confirmed by a case study and the optimal HPS results are evaluated with the conventional techniques. With the help of the battery depth of discharge, the discharge and state charge of battery are optimized. The outcome of the suggested model proves that it achieves effective LPSP output with appropriate sizing capacities by utilizing both solar and wind power. © 2024 IEEE.