Study On Intelligent Method Of MPPT In Photovoltaic Power System

With the shortage of resources and the pollution of environment intensified,the renewable energy has got lots of attention.While solar energy has the characteristic of large storage,energy and no pollution,which promoted the development of photovoltaic power generation.The intelligent algorithm of Maximum Power Tracking(MPPT)of the PV system is researched in this paper,aiming to improve the efficiency of photovoltaic system.Firstly,the working principle of photovoltaic cell is analyzed and the model is set in this paper.The simulation shows that the photovoltaic cells have the nonlinear output characteristic and the light intensity and temperature are the two important factors which influence the photovoltaic battery output power.The model is feasible and effective.Secondly,the model of disturbance observation method and the conventional PID algorithm are built and simulated in this paper.In view of the disturbance observation method has the problems of response speed and tracking accuracy cannot be met in the same time,and PID control parameters cannot be adjusted once established,the fuzzy PID algorithm is proposed.Finally,the paper introduces the basic principle of particle swarm algorithm,the scale factor and quantificative factors is optimized by PSO based on fuzzy PID controller.Simulate the combined particle swarm optimization procedure and Simulink model.The simulation results show that the effect of optimized parameter controller is obviously enhanced,which is better than that of PID and fuzzy PID controller.It completed the intelligent method of Maximum Power Tracking(MPPT)of the PV system.