Simulation Study of Photovoltaic Power Generation System based on MATLAB/Simulink
Abstract
Photovoltaic (PV) power generation, as an important renewable energy source, has been widely applied in recent years. With continuous advancements in PV technology, improving the efficiency and stability of PV systems has become a research focus. Currently, the output power of PV systems is significantly affected by environmental factors. The Maximum Power Point Tracking (MPPT) algorithm plays a crucial role in PV systems. This paper compares three classical MPPT algorithms—Incremental Conductance (INC), Perturb and Observe (P&O), and Constant Voltage (CV). Through MATLAB/Simulink simulations, their tracking performance under different irradiance and temperature conditions is analyzed, including steady-state error, dynamic response speed, and power oscillation. The results show that the INC algorithm outperforms P&O and CV in both dynamic adjustment capability and steady-state accuracy, allowing faster and more stable tracking of the Maximum Power Point (MPP) while reducing power loss. This study provides a reference for selecting MPPT algorithms in photovoltaic applications.