Research On Control Strategy Of MPPT Method Based On SVR In Photovoltaic Power System

With the continuous depletion of global non-renewable energy, as the emerging green renewable energy system,solar photovoltaic power generation system is a major concern with its unique advantage into people's view. But because of its low conversion efficiency, make the use of photovoltaic power generation systems are limited, therefore, there's an urgent need to research the control method to improve the conversion efficiency of photovoltaic power generation system,so as to realize the maximum power output in real time.This article first research photovoltaic cells, on the basis of simulation, it is concluded that the main factors influencing the maximum power point both light intensity and temperature, the i-v curve of non-linear characteristics make maximum power point output of pv systems is more difficult;Second, in the control of the maximum power point of traditional method (CVT?P&O? INC) on the basis of the research and comparison, put forward a research on control strategy of MPPT method based on SVR in photovoltaic power system, and using a global, parallelism and adaptability in the cross validation (K-CV) under the meaning of the genetic algorithm to optimize the parameters of SVR in order to improve the prediction accuracy of SVR.Finally, the simulation in MATLAB/SIMULINK platform, comparing the experimental results, show that the effectiveness of the proposed optimization algorithm, and has high precision and good generalization ability.