Intelligent Control Algorithm Applied in Quasi-Z-Source Inverters Photovoltaic System with Multi-Peak Maximum Power Point Tracking (MPPT)

Technology of maximum power point tracking (MPPT) is the key issue for light volt generating under varying insolation and shading conditions. The maximum power point need to be dynamically changed when environmental condition is transformed from one to another avoiding local maximum power constantly, and a conventional adaptive maximum power controller is specifically designed for maintaining operation of the photovoltaic system at the maximum power point. Traditional MPPT technology cannot rapidly locate the global maximum power point reaching an impasse of global maxima. This paper studies a type of adaptive weight inertia variation cat swarm algorithm, which is realized by photovoltaic battery output voltage and the load voltage matching control, and achieves the maximum power output in the power system. Characteristic curves with multiple peak values present under the interference of numerous complex factors. This article expounds the algorithm solved the partial shade of multiplex mode optimization problems which is unable to realize by the traditional tracking. How to realize the maximum power point tracking is the key research for quasi-Z-source inverters in photovoltaic system. It is proved that the feasibility of the improved algorithm proposed and the advantages of high speed and precision in tracking build mathematical model used commonly through the MATLAB/Simulink.