A CENTRALIZED MODEL PREDICTIVE LIGHTING CONTROL METHOD AND A CENTRALIZED PREDICTION-BASED CONTROLLABLE STREET LIGHTING SYSTEM

The present invention relates to a centralized model predictive lighting control method for one or more streetlamps and a system thereof, particularly to creating a lighting, which dynamically adjusts a light intensity thus improving a comfort level of visibility for vehicles, pedestrians, cyclist, etc., in variable weather conditions, while minimizing an energy consumption of a system simultaneously. The method predicts the light intensity at a predetermined set of points of interest p in a space over a prediction horizon N with a time resolution of Ts and adjusts the light intensity of the streetlights according a predetermined streetlight dimming scenario and by implementing a Model Predictive Control (MPC) algorithm configured to control light intensities of one or more streetlamps. The MPC algorithm performs minimizing an objective function over the prediction horizon N with the time resolution of Ts, the objective function comprising calculating light intensity, light pollution, and deviation from the desired lighting at the predetermined set of points of interest p considering calculated constraints.