A Fast and Accurate Maximum Power Point Tracking Approach Based on Neural Network Assisted Fractional Open-Circuit Voltage

Electronics

Ahmad Alzahrani¹ 

[1] Electrical Engineering Department, Faculty of Engineering, Najran University, Najran 66446, Saudi Arabia;

关键词: DC-DC;    MPPT;    P&;    O;    FOCV;    PV;   

DOI  :  10.3390/electronics9122206

来源: DOAJ

【 摘 要 】

This paper presents an enhanced maximum power point tracking approach to extract power from photovoltaic panels. The proposed method uses an artificial neural network technique to improve the fractional open-circuit voltage method by learning the correlation between the open-circuit voltage, temperature, and irradiance. The proposed method considers temperature variation and can eliminate the steady-state oscillation that comes with conventional algorithms, which improves the overall efficiency of the photovoltaic system. A comparison with the traditional and most widely used algorithms is discussed and shows the difference in performance. The presented algorithm is implemented with a Ćuk converter and tested under various weather and irradiance conditions. The results validate the competitiveness of the algorithm against other algorithms.

【 授权许可】

Unknown