Nowadays, photovoltaic (PV) generation is growing fast as a renewable energy source. Nevertheless, the drawback of PV system is intermittent for depending on weather conditions. In this paper, a novel topology of intelligent PV system is presented. In order to capture the maximum power, hybrid fuzzy-neural maximum power point tracking method is applied in PV system. As a result, the effectiveness of the proposed method is represented and average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage points in comparison with the conventional methods. It has the advantages of robustness, fast response and good performance. Detailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid system have proposed using MATLAB/Simulink.
Neural Computing and Applications – Springer Journals
Published: Jan 28, 2016
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