Model Predictive Control and Optimal Cost for A Grid-Connected Photovoltaic/Wind/Battery System

In this study, a robust model predictive control (MPC) approach is developed for a photovoltaic (PV)-wind turbine (WT)-battery system connected to the main grid with taking the advantage of the time of use (TOU) electricity tariff. By applying the proposed energy management strategy, customers can reduce the cost of energy consumed from the utility grid while earning from the selling of renewable energy sources (RES) and energy storage to the grid. Besides, the evaluated system is exposed to an external disturbance on PV, WT and load demand, therefore, to demonstrate the effectiveness and robustness of the proposed control the model is compared with the open loop strategy. The simulation results confirm that the MPC approach can tackle the problem successfully with optimal power flow and greater energy and cost savings.