Travail de fin d'études et stage[BR]- Travail de fin d'études : Optimization of collective battery storage systems usage in energy communities[BR]- Stage d'insertion professionnelle

Abstract

This thesis presents an optimization framework for the utilization of collective batteries within Energy Communities. Community batteries have various ap- plications, including maximizing self-consumption, mitigating demand peaks, offering grid services, and participating in wholesale markets. The paper con- ducts a comprehensive study on the feasibility and advantages of these appli- cations in Energy Communities, along with a comparative techno-economic analysis focused on a specific Energy Community project situated in Brussels. The objective of this research is to develop optimization algorithms that de- termine an optimal charging and discharging schedule for the batteries, ulti- mately maximizing asset profitability based on data forecasts. The algorithms are implemented as Python modules employing constrained mathematical pro- gramming techniques. Each application is individually reviewed and optimized. Subsequently, a com- prehensive assessment is performed by combining the applications to evaluate the benefits of employing multi-objective community batteries.