It is urgent to solve the energy problem effectively in the current world economic and political situation.Although the advantages of the traditional thermal power are mature technology,low cost and no geographical restrictions,the serious pollution,the low efficiency and no sustainability are the disadvantage.By contrast,hydropower is lager investment,being affected by the season more obviously,causing a certain degree of damage to the ecosystem.Wind power is a renewable energy,pollution-free,but it is subject to geographical restrictions.Nuclear power,as efficient clean energy,the problem,such as large investment cost,the disposal of radioactive waste,cannot be ignored.Compared to solar energy,the characteristics of these types of energy are rich in resource and extensive geographical distribution,the superiority of safe and reliable operation,as well as the advantages of clean and pollution-free,praised highly by more and more people.Solar photovoltaic power generation is achieved through photoelectric conversion.At present,the problems we are facing are how to maximize the efficiency of photoelectric conversion and to achieve independent power generation or joint power generation free switch after the implementation of the grid.In this paper,the author proposed a two stage fuzzy optimum impedance matching method addressing the problem of maximum power point tracking for solar photovoltaic power generation(Maximum Power Point Trackig,MPPT)through theoretical analysis of a large number of algorithms which is to solve the problem of power mismatch and hot spot effect of PV array under irregular shadow conditions.In Matlab / Simulink simulation environment,as well as under the test platform,the Fuzzy-EIM algorithm shows superior performance.The main contents of this paper are:Briefly introducing the significance and the relative research status at home and abroad of solar photovoltaic power generation.Describing the classification of solar cells,the principle and internal structure of photovoltaic power generation,and designing the mathematical model of photovoltaic cells and establishing the simulation model in Matlab/Simulink.Describing the formation and harm of the hot spot effect,building a simulation model of the photovoltaic array with a certain scale,simulating the local shadow,and analyzing the characteristics of the multi peak curve.Introducing the traditional and intelligent photovoltaic MPPT algorithm,the principle of the algorithm and then simulating the external environment changes and simulation analysis in detail.On the basis of certain theories,this paper proposed a fuzzy optimization of the impedance matching method,analyzing and comparing the proposed control methods in the simulation environment and test platform through performance index of system optimization,time to first change the environment after two times of the optimization time and power amplitude of MPPT,verify the excellent performance of the algorithm. |