Energy management strategy for a grid-tied residential microgrid based on Fuzzy Logic and power forecasting

This paper extends a previous design of an energy management strategy based on Fuzzy Logic Control (FLC) for a residential grid-tied microgrid including a Hybrid Renewable Energy System (HRES) and an Energy Storage System (ESS). The main goal of the proposed design is to improve the grid power profile while satisfying the constraints established by the ESS. The strategy extension includes generation and demand forecasting in order to predict the future behavior of the microgrid. According to the forecast error and the battery State-of-Charge (SOC) the proposed strategy increases/decreases the grid power with the purpose of smoothing the power exchanged with the grid. The performance of the proposed strategy is verified through comparative numerical simulations using real data measured at the microgrid of the Public University of Navarre (UPNa).