Study On Control Method Of MPPT Of PV System Based On Fruit Fly Optimization Algorithm

In today’s society,the problem of energy crisis has gradually attracted the attention of all countries in the world.Energy not only provides the driving force for social development,but also serves as an important material basis for the daily life and production of human society.Solar energy has become one of the main forces of new energy because of its huge advantages.However,in practical engineering applications,there are still many key technologies to be deeply studied in photovoltaic Power generation.The most important one is the photoelectric conversion efficiency of photovoltaic array.The Maximum Power Point Tracking(MPPT)control of photovoltaic Power generation system is a method to improve the conversion efficiency of photovoltaic cells.However,the output characteristics of the photovoltaic array are very sensitive to changes in the external environment,especially when the illumination is not uniform,the pv cell’s p-v output characteristic curve will show multiple peaks.If the maximum power point cannot be accurately tracked,the output efficiency of the photovoltaic power generation system will be greatly reduced.Therefore,finding a method to track the maximum power point and ensure its accurate and stable output is of great strategic significance for the stable operation of photovoltaic power generation systemThrough consulting a large number of photovoltaic power generation related literature at home and abroad,The equivalent mathematical model of photovoltaic cell is studied,its output characteristics are analyzed,and the engineering model of photovoltaic cell is deeply analyzed according to the actual engineering application.Further introduces the composition of photovoltaic power generation system structure,analysis of the booster chopper circuit,study the concrete working principle of the BOOST circuit and its role in the photovoltaic power generation systems,photovoltaic array in uniform illumination,and the output characteristic under the shade of qing dynasty,the photovoltaic cells under the condition of different light intensity and temperature change of the I-V characteristic curve,P-V characteristic curve.Through the comparative analysis of different characteristics of MPPT algorithm,this article in view of the insufficiency Fruit Fly Optimization Algorithm,put forwardthe optimization algorithm to improve the photovoltaic maximum power point trackingsystem,the algorithm according to the principle of constant voltagemethod of maximum power point tracking to improve fruit flies to initialize position,and the variablestep approach to iterative optimization,optimization algorithm compared with traditional flies,improved algorithm has faster convergence speed,and optimization process stable oscillation is lesser,and improve the tracking precision of the MPPT,effectively avoid the system into a local optimum.Using the SIMULINK of MATLAB environment set up photovoltaic system are simulated,a simulation model of the algorithm proposed in this paper the MPPT output characteristics with the traditional optimization algorithm and disturbance observation of fruit flies simulation comparison.The results show that the proposed algorithm has faster convergence speed,stable output and smaller error.,verify the feasibility and effectiveness of the proposed algorithm,the realization of photovoltaic power generation system in the case of multimodal optimization control.