Research on Maximum Power Point Tracking Algorithms for Photovoltaic Cells
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Owing to the influence of environmental changes, such as temperature and lighting, on the output power of photovoltaic cells, tracking the maximum power point of photovoltaic cells is of great interest. This paper provides a detailed introduction to the relevant theories of maximum power point tracking in photovoltaic cells. Subsequently, a simulation module is built using MATLAB Simulink to analyze the simulation results of tracking the maximum power point under sudden changes in temperature or lighting using disturbance observation, conductivity increment, and constant voltage methods. The advantages and disadvantages of these three methods were analyzed. The experimental results indicate that the constructed simulation algorithm module is correct, and the simulation results provide reference value for the selection and application range of maximum power point tracking algorithms in actual photovoltaic systems.
Abstract
Owing to the influence of environmental changes, such as temperature and lighting, on the output power of photovoltaic cells, tracking the maximum power point of photovoltaic cells is of great interest. This paper provides a detailed introduction to the relevant theories of maximum power point tracking in photovoltaic cells. Subsequently, a simulation module is built using MATLAB Simulink to analyze the simulation results of tracking the maximum power point under sudden changes in temperature or lighting using disturbance observation, conductivity increment, and constant voltage methods. The advantages and disadvantages of these three methods were analyzed. The experimental results indicate that the constructed simulation algorithm module is correct, and the simulation results provide reference value for the selection and application range of maximum power point tracking algorithms in actual photovoltaic systems.
