Predictive Functional Control for Photovoltaic System Optimization

Photovoltaic systems have earned recognition as incredibly interesting renewable energy sources, due to simplicity of supply. These systems have a nonlinear characteristic which causes them a low energy conversion. However, it necessity for control systems capable of outperforming conventional controllers and overcome the existing operational instabilities. The main objective of this paper is to design a predictive functional control to the photovoltaic generators, to make it follow a desired trajectory and to generate a maximum power. A predictive functional control is defined as advanced control which exploit the future behavior of process, and its consists in using of discretized model of the photovoltaic system. The simulation results prove the highest tracking efficiency of this algorithm which are evaluated by means of efficiency, stability and robustness under different scenarios of varied metrological condition.