Optimized Electric Vehicle Charging with Intermittent Renewable Energy Sources

The integration of intermittent renewable energy sources, such as solar and wind, into electric vehicle (EV) charging infrastructure presents a promising pathway to decarbonize the transportation sector and enhance energy sustainability. This paper investigates optimized charging strategies that align EV charging demand with the availability of renewable energy. By leveraging real-time data from renewable generation and applying advanced algorithms, such as demand-side management and smart grid control, the proposed method aims to minimize grid stress while maximizing the use of clean energy. The study highlights the technical challenges of managing fluctuations in renewable output and provides solutions for overcoming these issues, including battery storage, demand response techniques, and vehicle-to-grid (V2G) integration. Simulation results demonstrate the potential of these optimized charging strategies to reduce carbon emissions, lower electricity costs, and enhance grid reliability. This work contributes to the broader effort of promoting sustainable transportation and optimizing the synergy between EVs and renewable energy sources. Key findings include the benefits of flexible charging schedules and the role of V2G technology in stabilizing grid operations during peak renewable generation periods. This abstract summarizes the key aspects of optimized EV charging using renewable energy, focusing on reducing emissions and grid impact.