Prediction-data-based maximum-power-point-tracking method for photovoltaic power generation systems

Author(s):  
N. Mutoh ◽  
T. Matuo ◽  
K. Okada ◽  
M. Sakai
2014 ◽  
Vol 953-954 ◽  
pp. 52-56
Author(s):  
Wei Du ◽  
Wei Han ◽  
You Fei Tan

In order to increase the output power of the photovoltaic system, the maximum power point tracking is needed. As the starting point of research in the output nonlinear characteristics, analysis of the advantages and disadvantages of the conventional algorithm and have the poor dynamic and steady-state performance of the maximum power point tracking(MPPT), the improvement method of golden section(IGSS) is applied to the photovoltaic power generation system. The results indicate that the method can quickly track the maximum power point of photovoltaic cells.


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