Research On Maximum Power Tracking Control Method For Photovoltaic System

With the environmental problems and the lack of primary energy becoming increasingly serious,photovoltaic power system as the representative of the new energy power technology is more and more important.In order to improve the efficiency of photovoltaic system,making full use of photovoltaic power and tracking the maximum power point control of photovoltaics power is the key.Especially when in the local shading,tracking the maximum power system control of photovoltaic systems is a hot issue.Therefore,the study of tracking the maximum power of the photovoltaic system system under the local shading is necessary.Firstly,the working principle of the photovoltaic battery is analyzed and then the equivalent circuit of photovoltaic battery is studied from the principle.Secondly,after the model built in Matlab/Simulink in light of the equivalent circuit.,the output characteristics and the power distribution characteristics of photovoltaic battery in the local shading are analyzed.In order to obtain the maximum power point of photovoltaic battery,we analyze the principle and mathematical model of maximum power tracking control of PV system and simulate the traditional maximum power tracking control such as the disturbance observation method and the conductance increment method to propose the problem of maximum power tracking in local shading.Lastly,in order to solve the output characteristics of multi-peaks of the PV system in the local shading when the maximum power control tracking,the improved particle swarm optimization algorithm is used.The maximum power tracking model of PV system is designed according to the improved particle swarm optimization algorithm.The model shows that the improved particle swarm algorithm can quickly track the maximum power point of the PV system,which solves the problem that the traditional method is easy to fall into the local optimum.