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

Rehman, Huma; Murtaza, Ali Faisal; Sher, Hadeed Ahmed; Noman, Abdullah M.; Al-Shamma’a, Abdullrahman A.; Alkuhayli, Abdulaziz; Spertino, Filippo

doi:10.3390/electronics11030359

Open AccessArticle

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

by

Huma Rehman

¹,

Ali Faisal Murtaza

¹,

Hadeed Ahmed Sher

^2,*

,

Abdullah M. Noman

³

,

Abdullrahman A. Al-Shamma’a

³

,

Abdulaziz Alkuhayli

³

and

Filippo Spertino

⁴

¹

Faculty of Engineering, University of Central Punjab (UCP), Lahore 54782, Pakistan

²

Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi 23460, Pakistan

³

Electrical Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia

⁴

Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy

^*

Author to whom correspondence should be addressed.

Electronics 2022, 11(3), 359; https://doi.org/10.3390/electronics11030359

Submission received: 17 November 2021 / Revised: 15 December 2021 / Accepted: 17 January 2022 / Published: 25 January 2022

(This article belongs to the Section Systems & Control Engineering)

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Abstract

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 (N_p × N_s) 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.

Keywords: MPPT; virtual Imaging techniques; image processing; photovoltaic systems; partial shading

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MDPI and ACS Style

Rehman, H.; Murtaza, A.F.; Sher, H.A.; Noman, A.M.; Al-Shamma’a, A.A.; Alkuhayli, A.; Spertino, F. Neighboring-Pixel-Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic (PV) Systems. Electronics 2022, 11, 359. https://doi.org/10.3390/electronics11030359

AMA Style

Rehman H, Murtaza AF, Sher HA, Noman AM, Al-Shamma’a AA, Alkuhayli A, Spertino F. Neighboring-Pixel-Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic (PV) Systems. Electronics. 2022; 11(3):359. https://doi.org/10.3390/electronics11030359

Chicago/Turabian Style

Rehman, Huma, Ali Faisal Murtaza, Hadeed Ahmed Sher, Abdullah M. Noman, Abdullrahman A. Al-Shamma’a, Abdulaziz Alkuhayli, and Filippo Spertino. 2022. "Neighboring-Pixel-Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic (PV) Systems" Electronics 11, no. 3: 359. https://doi.org/10.3390/electronics11030359

APA Style

Rehman, H., Murtaza, A. F., Sher, H. A., Noman, A. M., Al-Shamma’a, A. A., Alkuhayli, A., & Spertino, F. (2022). Neighboring-Pixel-Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic (PV) Systems. Electronics, 11(3), 359. https://doi.org/10.3390/electronics11030359

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

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