Study of Energy cost optimization for Integration of Microgrid to Electric Vehicles

The increasing adoption of electric vehicles (EVs) and renewable energy sources has revolutionized the energy landscape, which has lead to new opportunities and challenges for energy cost optimization and sustainable energy management. This paper presents a comprehensive approach for optimizing energy costs through the seamless integration of a microgrids (PV solar panels, wind turbines, battery energy storage system (BESS), and diesel generator). The primary objective is to meet the energy demands of 200 households, including the charging requirements of EVs, while minimizing overall energy costs. The proposed methodology leverages Mixed Integer Linear Programming (MILP) to formulate a mathematical model that effectively balances energy generation, storage, and consumption. The results of this study demonstrates the potential it has to reduce energy costs, through increased utilization of renewable energy sources. Additionally, the proposed approach enhances the reliability of the microgrid by efficiently managing the interplay between various energy resources and EVs, thus ensuring uninterrupted power supply to households.