Optimization of Battery Energy Storage Systems for Energy Markets and Future Energy Communities

The increasing integration of Renewable Energy Sources (RES) into electrical grids presents also challenges related to grid stability and market dynamics. Battery Energy Storage Systems (BESS) have emerged as a potential solution to these challenges, offering capabilities for energy storage and support services that enhance grid reliability. This paper explores the optimization of the operations of such components with a case study in the Italian electricity market context. The research employs a Mixed-Integer Linear Programming (MILP) model to optimize the participation of BESS in the Day-ahead market, under the specific regulatory framework of a stock martket tender. By analyzing historical data and simulating BESS operations, this study identifies proper strategies to maximize economic returns and enhance the competitive positioning of storage systems in a specific European market context.