Optimizing energy consumption considering residential solar panels generation and battery storage in smart homes

This paper presents an optimization approach for achieving partial autonomy in residential electricity consumption and production through the integration of photovoltaic systems with a battery storage. It proposes mathematical programming approach for reproducing real consumption and production patterns, offering a calibrated optimization framework for enhanced self -consumption and self -production. The simulation model serves as a rigorous testing ground for critical battery parameters, including capacity, minimum reserve level, and energy losses, ensuring their accuracy and reliability. The optimization model, on the other hand, is used to fine-tune the energy flows in and out of the system, aiming to elevate self -consumption and self -production rates effectively. The proposed approach was empirically validated through a comprehensive analysis and real -world data application conducted across eight households during several months, revealing the model's capacity to substantially enhance the self -consumption and self -production rates.