Shengqing Li, Wenfeng Wu, and Dinghuan Ma
MPPT, photovoltaic system, genetic algorithm, acceleration disturbance
The benefits of PV have limited its large-scale development. To improve the efficiency of photovoltaic power generation, a PV Maximum Power Point Tracking (MPPT) accelerating perturbation method based on genetic algorithm is proposed by analysing the mathematical model of PV cells and optimizing MPPT controller strategy. The difference between the variable step perturbation method and the variable accelerating perturbation method is com- pared, and the acceleration process of the variable accelerating perturbation method is proved by mathematical expression. To further improve the tracking accuracy and reduce the tracking time of the system, the genetic algorithm is used to establish the initial search range. Finally, the simulation model is built in Matlab/Simulink software platform, and the correctness of the method is verified by simulation.
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