Research On Maximum Power Tracking Control Of Photovoltaic Power Generation System

With the development of global industrialization,human needs for energy are increasing,and traditional fossil energy is also facing the problem of resource depletion.Moreover,while fossil energy promotes the development of human society,it also brings a series of problems such as climate and environment,which prompts people to Consider the development of renewable new energy.Among the many types of renewable new energy,solar energy is undoubtedly the most promising new energy.It has the advantages of green,pollution-free,low cost and inexhaustible,so it has attracted wide attention from all walks of life.How to improve the efficiency of solar photovoltaic power generation has always been a hot topic of research by scholars from all walks of life.This paper mainly focuses on the research on the Maximum Power Point Tracking(MPPT)control algorithm of photovoltaic power generation system,which has important research significance for improving the efficiency of photovoltaic power generation system.The main contents are as follows:1 Introduce the principle of photovoltaic cells,analyze the engineering mathematical model of photovoltaic cells,and study the influence of external light and temperature on the output characteristics of photovoltaic cells and by simulation.The basic principle of photovoltaic maximum power point tracking control is expounded,several common MPPT control methods are analyzed,the Boost circuit is selected to realize photovoltaic maximum power tracking control,and an equivalent MPPT mathematical model is established.2 In view of the strong nonlinearity,strong coupling,and strong time-varying characteristics of photovoltaic cells,combined with linear active disturbance rejection control,this paper proposes a photovoltaic MPPT algorithm based on Pelican-linear active disturbance rejection control,and the maximum power is given by the Pelican optimization algorithm The point reference voltage is used as the given input signal of the linear active disturbance rejection control,and the extended state observer is improved by adding the total disturbance delay differential signal to enhance the observation ability of the disturbance and improve the dynamic response of the system.Finally,in the MATLAB/Simulink simulation platform,The model is built for verification,and the simulation results show that the linear active disturbance rejection MPPT control algorithm proposed in this paper has a good effect.3 Under the condition of partial shading in a complex environment,the output characteristics of photovoltaic arrays are analyzed as multi-peak curve characteristics,and the basic principle of the Pelican algorithm is introduced.Aiming at the problem that the traditional MPPT control algorithm is difficult to track the maximum power point,this paper proposes to apply the improved Pelican optimization algorithm to the maximum power tracking control.By introducing the learning factor and Levi’s flight,the algorithm’s global search ability is enhanced to avoid falling into the local maximum.Merit value,improved convergence speed and stability of the algorithm,four general test functions are selected for verification,and finally in the MATLAB/Simulink simulation platform,the effectiveness and feasibility of the algorithm proposed in this paper are verified by simulation.The results show that the improved Pelican algorithm It can effectively track the maximum power point under complex shading conditions,and has good dynamic tracking performance.