The Algorithm and Simulation Research of MPPT Using FSVM for PV System

As the traditional ways of MPPT suffers from some dissatisfaction, this paper presents a kind of Fuzzy Support Vector Machines (FSVM) for the prediction and simulation of the voltage of the maximum power output in PV module. The measured data of meteorological light intensity was used to simulate and analyze shows that Compared with BP Neural Network, the model of FSVM achieved the minimization principle of structural risk, have better the ability of generalization to the future Samples, and a higher prediction accuracy and stability.