The main concerns of network operators is the improvement of system parameters, and various ways have been developed to achieve this goal. If the use of renewable energy including wind in the grid is used, the sustainability debate and the status of the power system parameters will be twofold. In the upcoming research, we will examine the status of the parameters by placing the Facts on the 24-Bass power system, including the wind farm. The research data, which includes wind data and load consumption over a year, is categorized using the K-means classification algorithm and we construct the target function based on the parameters we intend to optimize. The function is optimized using the HBMO Molecular Evolutionary Algorithm (HBMO), and it obtains the location and the appropriate amount of Facts, which results indicate that the parameters are optimized when using Facts.