| The heavy consumption of fossil fuels today has led to increased greenhouse gas emissions,causing the problem of global warming to become increasingly severe.The frequent occurrence of extreme weather events has also made countries around the world realize the necessity of carbon reduction.Accelerating the transformation of the energy structure,using new energy as the main source and constructing a green and low-carbon new energy system to achieve carbon neutrality,is now a global consensus for dealing with frequent extreme weather and global natural disasters.Photovoltaic power generation,as a low-carbon and environmentally-friendly new energy generation technology,has gradually become an important role in the process of energy transformation.However,in practical operation,photovoltaic power generation systems may suffer from significant output power losses,especially when under shadow covering,severely restricting their power generation efficiency.Therefore,optimizing the output characteristics of photovoltaic power generation systems under partial shading and reducing their power loss are of great significance.In this paper,based on the basic principles of photovoltaic cells,a photovoltaic array simulation model was built in MATLAB/Simulink to analyze the influence of illumination intensity,temperature,and different topologies on its output characteristics.According to simulation results,the output power of the photovoltaic array when the temperature remains constant depends not only on the illumination intensity at the shaded area but also on its topology structure.Among them,the TCT structure photovoltaic array has good output performance under various shading conditions and can dynamically reconstruct the photovoltaic array while maintaining the physical position between components unchanged.Therefore,this paper mainly focuses on the study of power optimization of TCT arrays.In order to further optimize the output power of photovoltaic power generation systems,an improved whale optimization algorithm(IWOA)was used to track the maximum output power point of the photovoltaic array under partial shading and resolve the issue of traditional MPPT methods easily tracking to local peak points.Based on the principle of irradiance balance,the electrical connection structure of the TCT array was optimized while maintaining its physical positions to reduce the number of local peaks in the P-U curve and increase maximum output power.Simulation comparisons of three different reconstruction strategies(PSO,GA,and DE)showed that using GA for photovoltaic array reconstruction optimization had good adaptability under various complex shading methods.Finally,based on the GA-IWOA strategy for power optimization of the photovoltaic array,a 9×9 TCT photovoltaic array model was built,and static and dynamic shadowing experiments were conducted under six common shadowing scenarios.Results indicate that using GA-IWOA for power optimization of TCT photovoltaic arrays can increase output power by over 60% under various static shading scenarios,reduce power loss by over 50%,and increase output power by30.34% while reducing power loss by 42.72% under dynamic shading.This optimization strategy significantly improves the power generation efficiency of photovoltaic systems under complex shading conditions compared to the traditional P&O optimization strategy.Figure [69] Table [10] Reference [89]... |
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