Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions
The combination of different modules of photovoltaic (PV) cells produces many peaks under partial shading conditions. Therefore, extracting the global maximum power is crucial to attain better efficiency. However, conventional methods, such as Perturb and Observe (P&O), usually struggle to track...
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Elsevier
2025-09-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025020353 |
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| author | Haider A. Mohamed-Kazim Ahmed Hussein Shatti Ahmed Aldhahab Ikhlas Abdel-Qader Sarmad K. Ibrahim Rusul Noori Saraj |
| author_facet | Haider A. Mohamed-Kazim Ahmed Hussein Shatti Ahmed Aldhahab Ikhlas Abdel-Qader Sarmad K. Ibrahim Rusul Noori Saraj |
| author_sort | Haider A. Mohamed-Kazim |
| collection | DOAJ |
| description | The combination of different modules of photovoltaic (PV) cells produces many peaks under partial shading conditions. Therefore, extracting the global maximum power is crucial to attain better efficiency. However, conventional methods, such as Perturb and Observe (P&O), usually struggle to track the global maximum power point under such circumstances, as they tend to converge to local maxima. Due to this attribute, this paper proposes a robust voltage-based adaptation technique for predicting k-future samples of the photovoltaic power. The motivation of this prediction is to accurately extract the maximum power of the PV arrays under different partial shading conditions by adjusting the stepsize of the well-known Zero-Attracting LMS (ZALMS) algorithm in its normalized form using the priorly estimated PV voltages. The PV system has been developed in MATLAB/Simulink, and various patterns of non-uniform insolation and partial shading conditions were used to investigate the performance of the proposed technique. In comparison with the conventional approach, our technique improves dynamic response to environmental variations and the ability to avoid local maximum power point while still maintaining lower power oscillations. Furthermore, in adverse conditions, the proposed method improves power generation and efficiency more than the conventional P&O method, by 97.812 % and 98.923 %, respectively, as opposed to 80.236 % and 88.686 %. The computational complexity of the proposed work is relatively comparable to the traditional P&O algorithm, making it more suitable for real-time implementation in smart energy systems. |
| format | Article |
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| institution | Matheson Library |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-fb9c0f7bc6f347ada738d1f23d0ff9e72025-06-28T05:31:00ZengElsevierResults in Engineering2590-12302025-09-0127105963Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditionsHaider A. Mohamed-Kazim0Ahmed Hussein Shatti1Ahmed Aldhahab2Ikhlas Abdel-Qader3Sarmad K. Ibrahim4Rusul Noori Saraj5Electrical Engineering Department, University of Babylon, Hillah, Babylon, Iraq; Corresponding author.Electrical Engineering Department, University of Babylon, Hillah, Babylon, IraqElectrical Engineering Department, University of Babylon, Hillah, Babylon, IraqElectrical and Computer Engineering Department, Western Michigan University, Kalamazoo, MI, United StatesElectrical Engineering Department, University of Babylon, Hillah, Babylon, IraqElectrical Engineering Department, Technical Institute of Babylon, Al-Furat Al-Awsat Technical University, Hillah, Babylon, IraqThe combination of different modules of photovoltaic (PV) cells produces many peaks under partial shading conditions. Therefore, extracting the global maximum power is crucial to attain better efficiency. However, conventional methods, such as Perturb and Observe (P&O), usually struggle to track the global maximum power point under such circumstances, as they tend to converge to local maxima. Due to this attribute, this paper proposes a robust voltage-based adaptation technique for predicting k-future samples of the photovoltaic power. The motivation of this prediction is to accurately extract the maximum power of the PV arrays under different partial shading conditions by adjusting the stepsize of the well-known Zero-Attracting LMS (ZALMS) algorithm in its normalized form using the priorly estimated PV voltages. The PV system has been developed in MATLAB/Simulink, and various patterns of non-uniform insolation and partial shading conditions were used to investigate the performance of the proposed technique. In comparison with the conventional approach, our technique improves dynamic response to environmental variations and the ability to avoid local maximum power point while still maintaining lower power oscillations. Furthermore, in adverse conditions, the proposed method improves power generation and efficiency more than the conventional P&O method, by 97.812 % and 98.923 %, respectively, as opposed to 80.236 % and 88.686 %. The computational complexity of the proposed work is relatively comparable to the traditional P&O algorithm, making it more suitable for real-time implementation in smart energy systems.http://www.sciencedirect.com/science/article/pii/S2590123025020353Maximum power point trackingPartial shading impactSolar insolation modelingLinear prediction systemsSparse time-adjusting stepsize algorithmsThree-phase grid-integrated |
| spellingShingle | Haider A. Mohamed-Kazim Ahmed Hussein Shatti Ahmed Aldhahab Ikhlas Abdel-Qader Sarmad K. Ibrahim Rusul Noori Saraj Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions Results in Engineering Maximum power point tracking Partial shading impact Solar insolation modeling Linear prediction systems Sparse time-adjusting stepsize algorithms Three-phase grid-integrated |
| title | Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions |
| title_full | Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions |
| title_fullStr | Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions |
| title_full_unstemmed | Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions |
| title_short | Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions |
| title_sort | voltage based prediction technique for efficient mppt method for spv systems under non uniform insolation and partial shading conditions |
| topic | Maximum power point tracking Partial shading impact Solar insolation modeling Linear prediction systems Sparse time-adjusting stepsize algorithms Three-phase grid-integrated |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025020353 |
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