The rapid growth of electric vehicle (EV) adoption necessitates efficient power utilization strategies within charging stations. This thesis presents an innovative approach to optimizing power utilization in EV charging stations through the implementation of a 75-bus energy management system. The system leverages a combination of renewable energy sources, including solar and wind power, alongside grid energy to enhance the sustainability and efficiency of EV charging processes. Key components of the system include intelligent scheduling for vehicle charging and discharging, accurate state-of-charge (SOC) estimation for vehicle batteries, and the management of bi-directional power flows between vehicles and the grid. Through extensive simulations and real-world data analysis, this research demonstrates significant improvements in energy efficiency and cost savings. The 75-bus system effectively balances energy supply and demand, reduces reliance on grid power during peak times, and mitigates the variability and uncertainty associated with renewable energy sources. Additionally, the study explores the potential of using advanced forecasting techniques and load scheduling to further enhance system performance