Neighboring-Pixel-Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic (PV) Systems

In this paper, a neighboring-pixel-based virtual imaging (NPBVI) technique is developed to comprehensively detect the shading conditions on PV arrays. The proposed VI technique is then merged with a probabilistic mechanism of shaded module currents. Finally, a mathematical model is presented, which...

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Bibliographic Details
Published in:Electronics (Basel) 2022-02, Vol.11 (3), p.359
Main Authors: Rehman, Huma, Murtaza, Ali Faisal, Sher, Hadeed Ahmed, Noman, Abdullah M., Al-Shamma’a, Abdullrahman A., Alkuhayli, Abdulaziz, Spertino, Filippo
Format: Article
Language:English
Subjects:
Algorithms
Arrays
Cameras
Digitization
Maximum power tracking
Modules
Morphology
Photovoltaic cells
Pixels
Power rating
Shading
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Summary:In this paper, a neighboring-pixel-based virtual imaging (NPBVI) technique is developed to comprehensively detect the shading conditions on PV arrays. The proposed VI technique is then merged with a probabilistic mechanism of shaded module currents. Finally, a mathematical model is presented, which predicts the current voltage (I-V) region corresponding to the global maximum (GM) of the shaded PV array. The effectiveness of the proposed NPBVI MPPT is validated through numerous experiments that were carried out using a hardware prototype with a 150 W power rating. For the experiments, a PV array consisting of 3 × 2 (Np × Ns) 20 W PV modules was utilized. The experiments showcase agreement that the proposed method successfully identified the GM region of a partially shaded PV array.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics11030359