Robust Continuous-Time MPC for Boost Converter Optimization in Photovoltaic Systems

The aim of this research is to improve grid-connected photovoltaic (PV) system performance by applying a comprehensive continuous-time model predictive control (CTMPC) design. To maximize power management and guarantee steady operation in a variety of environmental circumstances, a DC-DC boost converter is integrated with the predictive control approach and a highly accurate model of the PV panel. The boost converter plays a crucial role in stabilizing the system by regulating the PV panel’s output voltage and ensuring operation at the maximum power point (MPP). The simulation results, conducted under varying irradiance levels (200 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> to 1000 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>) and temperature variations (10°C to 50°C), emphasize the effectiveness of the proposed MPC-based method, demonstrating notable improvements in system stability, efficiency, and adaptability. Furthermore, potential real-world applications of the proposed approach include residential and industrial PV installations, smart grids, and electric vehicle charging stations, where precise power regulation is essential.