Application of Control Algorithms for Battery Scheduling in Grid-Connected Energy Prosumers

• Published in: 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) pp. 932 - 937
• Main Authors: Becchi, Lorenzo, Bindi, Marco, Intravaia, Matteo, Grasso, Francesco, Pasqui, Mattia, Carcasci, Carlo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.06.2024
• Subjects: Battery Energy Storage System; Economics; Electricity supply industry; Energy Management System; Optimization Algorithms; Optimization methods; Prediction algorithms; Processor scheduling; Production; Renewable Energy Communities; Renewable energy sources

This paper proposes an innovative approach in managing prosumer batteries using a rule-based control algorithm. The main information used in this work to develop actions on a Battery Energy Storage System (BESS) are the price of energy on the day-ahead electricity market, the prosumer consumption/pr...