Optimizing renewable energy control for building using model predictive control

Model Predictive Control (MPC) is an intelligent control method in smart grid. In this paper, a model is built for energy usage control in one room with renewable energy. First, the energy for temperature control in the room can be predicted with lowest amount using MPC. Then simple load models for lights humidity, air condition and basic living appliances are added in the room in order to make a full load model for the room. At last, after adding the solar or wind devices in the system, the sizes for solar PV panel and wind turbine are chosen for the room. In this paper, Matlab is used to build the model with the weather data which is from the forecast. The simulation results show the indoor temperature using MPC and the optimal amount of power used in the system.