Research On The Maximum Power Tracking Of Photovoltaic Power Generation Under Partial Shading Based On Ant Colony-Fuzzy Control

Nowadays,energy development and environmental pollution have become the problems that need to be balanced and solved at present,and abundant solar energy,as a kind of new energy,has the advantages of no pollution and low cost,and there will be no energy shortage.Therefore,the development of the photovoltaic industry is gradually increasing in the proportion of new energy.But the problem that comes with it is that the efficiency of photovoltaic power generation will decrease with environmental changes,especially when there is a partial shading situation on the photovoltaic array,which will not only cause the output power of the photovoltaic system to decrease,but also cause irreparable damage to the photovoltaic array.Therefore,this paper studies the maximum power tracking of photovoltaic power generation system in partial shading environment,and the main research content is as follows:(1)Through the model derivation of photovoltaic cells,a photovoltaic cell model is built in MATLAB/Simulink to analyze the effects of light and temperature on the output of photovoltaic cells,to study the harm caused by the partial shading environment to the photovoltaic power generation system,to build a 5*3 photovoltaic array model,to construct a shadow layout with five peaks output;to build a Boost circuit based on duty cycle regulation,to complete the parameter calculation of each component,and to track and regulate the output of the photovoltaic array.Moreover,the application of three classical algorithms of constant voltage method,disturbance observation method and conductivity increment method in the photovoltaic power generation system MPPT(Maximum Power Point Tracking)is analyzed,and it is found that when the environment is abruptly changed,the disturbance observation method has a good tracking effect,so it is selected as the comparison algorithm of the following article.(2)Aiming at the disadvantages of perturbation observation method,fuzzy control is easily limited to local maximum power output and ant colony algorithm with large output oscillation in partial shading environment,this paper proposes an optimized hybrid algorithm based on ant colony algorithm and fuzzy control.Based on the global optimization ability of the ant colony algorithm under the partial shading,after the global optimization of the photovoltaic array,the current optimal working voltage value and output power value are transmitted to the fuzzy control,and the optimization stability is used to effectively improve the maximum power tracking effect of the photovoltaic system.(3)The maximum power tracking system of photovoltaic power generation is built in MATLAB/Simulink,and the optimized hybrid algorithm proposed in this paper is simulated and analyzed.The results show that in the partial shading environment,the optimal mixing algorithm is greatly improved compared with the perturbation observation method and the fuzzy control,and the global optimization ability is greatly improved;compared with the ant colony algorithm,the output steady-state oscillation is greatly reduced,which improves the system stability;and the optimized mixing algorithm after fuzzy control is compared with the hybrid algorithm,and the optimization speed and oscillation are reduced compared with the hybrid algorithm.Also,when the ambient lighting changes,it also has a very good tracking effect.Therefore,it is proved that the optimized hybrid algorithm based on ant colony algorithm and fuzzy control has feasibility and superiority in the maximum power tracking of photovoltaic systems under partial shading,which shows the significance of the application of optimized hybrid algorithm to the field of MPPT.