Research On Optimizationg Of MPPT Algorithm For Photovoltaic Power Generation System

With the growing energy demand in the world,as well as the consumption of traditional energy resources and the adverse impact on the environment,it prompts the society to seek alternative energy sources.Therefore,photovoltaic power generation has become one of the research hotspots.In the research of photovoltaic cells,the Maximum Power Point Tracking(MPPT)algorithm is one of the most important parts.The main function of this algorithm is to make the output of photovoltaic cells at the Maximum value at all times.This paper will also start with a new algorithm,namely the fuzzy conductive algorithm,to track the maximum power of photovoltaic cells.The power can be quickly and accurately output at the maximum power,and improve the efficiency of photovoltaic cells.In the process of realizing MPPT algorithm,this paper firstly uses the mathematical formula of photovoltaic cells to model and construct photovoltaic cells.The nonlinear curve of its output proves that photovoltaic cells are affected by temperature and light intensity.Secondly,MPPT algorithm generally acts on the converter.Through the analysis and comparison of several common converters,this paper selects the Cuk converter as part of the simulation circuit,which can achieve voltage boost,voltage reduction and small filtering.In this paper,an algorithm is named the fuzzy conductive algorithm which combining the advantages and disadvantages of traditional and intelligent algorithms.The hybrid method has the advantages of fast convergence and small power oscillation.It avoids the complex operation of increment conductive method in traditional algorithm.And the rules made by fuzzy controller are greatly reduced,which will also reduce part of the cost.From the economic point of view,this algorithm compares are better than other algorithms.In order to verify the correctness of the algorithm,the fuzzy conductive algorithm is modeled and simulated in MATLAB/Simulink environment.In addition,the simulation experiments are carried out on the fuzzy control algorithm and increment conductive algorithm of twocommon algorithms,and the simulation curves obtained by the three algorithms are displayed in the same coordinate system.It can be observed that the fuzzy conductive algorithm is superior to the other two algorithms,and the correctness of the algorithm is further verified.In order to ensure the reliability and stability of the algorithm,this paper will design a photovoltaic power generation monitoring system on the LabVIEW software platform to achieve the real-time monitoring function of the system.Further improve the perfect performance of photovoltaic power generation system and the user experience function to achieve human-computer interaction.