The intelligent energy system supports the structure of the energy mix that can effectively improve the reliability and autonomy of any given electrical system. This paper assesses an optimal control that monitors in real-time the energy demand with the integration of photovoltaic (PV) system combined with an energy storage system (ESS) connected to the grid. The designed model uses the model predictive control (MPC) framework to create closed-loop behavior. This is based on the demand response strategy by using realtime electricity pricing schemes. The closed-loop model behavior consists of limiting the control horizon (CH) to be less than the predicted horizon (PH). This strategy is implemented through the design structure of the performance index. It observed that the optimal results are influenced by selecting a value of CH that is about half less than PH in which the system behavior of the energy supply must follow a given target of the consumers. It is also found that the proposed strategy is intelligently robust to manage the energy system and brings satisfaction to different stakeholders optimally.
Keywords building energy system, demand response, model predictive control, renewable energy, smart grid