With the increasing power demand and the continuously developing of renewable energy technologies, battery energy storage systems (BESS) seem to be an important part of a smart grid, providing many benefits such as reducing the electricity bill, reduction of peak demand and meeting the generation with demand side. In this study, a battery performance model is proposed for a residential home with distributed generation from renewable resources. Real irradiance and wind speed data measured in two different periods of the year (i.e. summer and winter) have been used and simulated for 24 hours. Battery storage is a suitable solution due to the fast response and flexibility. Integrated with a smoothing functionality, it can charge and discharge to reduce the power fluctuations produced by PV panels and wind turbine. Simulations show that the chosen moving average algorithm does not require a big battery size, delivering satisfactory results even with a smaller battery. Further, considering the demand power of the house and the produced power, an average power curve is computed every 15 minutes in order to be exchanged with the utility grid and minimize the electricity bill.