Simulink Simulation Model Built Based on Photovoltaic Cell's Mathematical Model

The mathematical model of photovoltaic cells serves as the fundamental basis for understanding and designing photovoltaic systems. Building simulation models through Simulink enables effective verification of system performance. The model typically incorporates the output characteristic equations of photovoltaic cells, combined with environmental parameters such as irradiance and temperature, to simulate I-V curves and power curves. In Simulink implementation, this involves creating subsystems that solve the diode equation-based photovoltaic model using mathematical operations blocks.

In photovoltaic system simulation, Maximum Power Point Tracking (MPPT) algorithms represent core technologies for enhancing system efficiency. The perturbation and observation method adopted in this study operates by slightly adjusting the duty cycle to modify the operating point of the photovoltaic cell, while monitoring changes in output power to gradually approach the maximum power point. This method's implementation in Simulink typically involves a feedback loop with a comparator block that determines perturbation direction based on power differential calculations.

Simulation results demonstrate that this algorithm can effectively track the maximum power point, maintaining photovoltaic cell operation at optimal efficiency. Furthermore, Simulink's visual simulation environment facilitates parameter adjustment and algorithm optimization, providing convenient tools for photovoltaic system design and analysis. The model structure allows for easy modification of algorithm parameters through mask parameters and enables real-time visualization of power tracking performance using scope blocks.