Photovoltaic Cell Simulation Model and MPPT Simulation with Perturb and Observe Algorithm

In this research, we investigate the simulation model of photovoltaic cells and their maximum power point tracking (MPPT) characteristics. Our MPPT implementation employs the Perturb and Observe algorithm, a well-established and widely-used technique for PV system optimization. The algorithm operates by periodically perturbing (increasing or decreasing) the system voltage and observing the resulting power change. In code implementation, this typically involves a voltage step adjustment followed by power measurement comparison - if power increases, the perturbation continues in the same direction; if power decreases, the direction reverses. Through this algorithm, we can dynamically determine the optimal operating point, thereby significantly enhancing photovoltaic cell efficiency. The simulation includes detailed modeling of PV cell characteristics using mathematical equations that represent the current-voltage relationship under varying conditions. Key functions in the simulation code would typically include power calculation modules, voltage perturbation controllers, and performance monitoring routines. Furthermore, we examine photovoltaic cell performance under different irradiation conditions and analyze simulation results to gain deeper insights into system behavior. The simulation framework allows for parameterization of environmental factors such as temperature and solar irradiance, enabling comprehensive performance analysis across operational scenarios.