Research on MPPT Strategy of Bifacial Photovoltaic Power Generation System Based on PSO

Driven} by the goal of “double carbon”, bifacial photovoltaic (PV) modules have become a new favorite in the industry due to their high conversion efficiency, high power generation capacity, and manufacturing process costs similar to those of conventional modules. The purpose of this paper is to study the maximum power point tracking control of bifacial photovoltaic power generation systems. Considering the characteristics of bifacial photovoltaic cells that can receive radiation on both sides, an irradiance model is combined with a light tracking model to construct a model for bifacial photovoltaic modules. Firstly, the mathematical model and irradiance model of the bifacial photovoltaic power generation system are established. Secondly, the particle swarm optimization algorithm is used to track the maximum power point of the bifacial photovoltaic power generation system. Finally, experimental verification is conducted through MATLAB/ Simulink simulation. The experimental results show that the output power of the bifacial photovoltaic power generation system can be increased by 30% compared to the single-sided photovoltaic power generation system. Additionally, the results verify the superiority of the particle swarm optimization algorithm in maximum power tracking. The simulation results demonstrate that the particle swarm optimization algorithm for bifacial PV power generation systems outperforms traditional maximum power tracking algorithms in terms of output power tracking speed and accuracy. This provides important practical application value for improving the efficiency of PV cells.