Study On Maximum Power Point Tracking Of PV System

In recent years,the rapid development of the global economy has led to the global energy crisis caused by the excessive use of energy.Global energy reserves have been at stake,and in order to follow the path of sustainable development,we have paid more and more attention to the development and utilization of clean energy.Solar energy resources are abundant and have been paid attention to and utilized by the world.Photovoltaic power generation is now the most reasonable and most common way to use solar energy.However,the high cost and low efficiency of photovoltaic power generation restrict its development.Therefore,people focus on photovoltaic power generation to improve the efficiency of photovoltaic power generation,reduce costs.From the point of view of improving the efficiency of photovoltaic power generation,this paper proposes the use of genetic algorithm to achieve maximum power point tracking.This method improves the efficiency of the photovoltaic system,but also ensures that the photovoltaic power generation system can output the maximum power in any case,which has played a very good role in promoting the development of photovoltaic power generation industry.For maximum power point tracking problem,this paper first on photovoltaic power generation system principle and photovoltaic power generation the whole operation mode are analyzed,and concluded that improve the efficiency of photovoltaic power generation is one of the core for the maximum power point tracking.,In turn,to actual engineering as the background,according to the engineering of photovoltaic power generation systems modeling and simulation by Matlab/Simulink to model calculation,through computing the results of the analysis of the light intensity and environment temperature on the influence of output power.Second,the comparison and analysis the traditional problems of maximum power point tracking four control methods: constantvoltage method,the perturbation method of observation,the merits of the incremental conductance method and fuzzy logic control,and conclusions are verified according to the results of the simulation.Finally,based on the limitations of the traditional tracking control method,this paper applies the genetic algorithm and ant colony algorithm to the maximum power point tracking problem.The genetic algorithm,ant colony algorithm and genetic ant colony algorithm are simulated by Matlab/Simulink,and the maximum power fitting curve of each method is obtained.Confirming even in photovoltaic components under the condition of local shadows screening,genetic ant colony algorithm can accurately fast track to the maximum power point and make the system stable in the superiority of this continuous output.