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A new technique for estimation of photovoltaic system and tracking power peaks of PV array under partial shading

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  • Ragb, Ola
  • Bakr, Hanan

Abstract

In this work, we present Improved electromagnetism-like algorithm and Differential quadrature technique as new efficient algorithms. Improved electromagnetism-like algorithm is employed to evaluate the parameters of Photovoltaic Single, Double and Three diode Model for three test cases on various PV systems like Schutten STP6-120/36 (Polycrystalline), Shell SM-55 (Monocrystalline) and PVM 752 GaAs (Thin film). Also, Differential quadrature technique is applied as new technique for maximum power point tracking, utilizing configuration of series PV modules that may deliver maximum power in partial shading conditions. We have designed a MATLAB code to evaluate the parameters of PV cells. Furthermore, MATLAB simulation is executed to display the output power variation and the formation of multiple peaks due to partial shading. The results are verified by eight different experimental I–V sets under various meteorological conditions for Shell SM-55 panel. The solutions of the introduced algorithms are supported by various statistical errors where solutions prove the superiority of presented algorithm compared to other techniques. Further, the simulation proves the success of the presented differential quadrature technique, proven by the graphical and numerical solutions which exhibit the accurate tracking solution along with the rapid-tracking response. Moreover, various changed conditions including cell temperature and irradiance conditions are used to validate each method.

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  • Ragb, Ola & Bakr, Hanan, 2023. "A new technique for estimation of photovoltaic system and tracking power peaks of PV array under partial shading," Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223000749
    DOI: 10.1016/j.energy.2023.126680
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    1. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Mohammed, Mohd Fayzul & Ramli, Makbul A.M., 2020. "Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq," Energy, Elsevier, vol. 191(C).
    2. Ebrahimi, S. Mohammadreza & Salahshour, Esmaeil & Malekzadeh, Milad & Francisco Gordillo,, 2019. "Parameters identification of PV solar cells and modules using flexible particle swarm optimization algorithm," Energy, Elsevier, vol. 179(C), pages 358-372.
    3. Qais, Mohammed H. & Hasanien, Hany M. & Alghuwainem, Saad, 2020. "Parameters extraction of three-diode photovoltaic model using computation and Harris Hawks optimization," Energy, Elsevier, vol. 195(C).
    4. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    5. Wang, Ao & Xuan, Yimin, 2018. "A detailed study on loss processes in solar cells," Energy, Elsevier, vol. 144(C), pages 490-500.
    6. Fahmi F Muhammad & Ali W Karim Sangawi & Suhairul Hashim & S K Ghoshal & Isam K Abdullah & Shilan S Hameed, 2019. "Simple and efficient estimation of photovoltaic cells and modules parameters using approximation and correction technique," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-19, May.
    7. Ghasemi-Mobtaker, Hassan & Mostashari-Rad, Fatemeh & Saber, Zahra & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2020. "Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran," Renewable Energy, Elsevier, vol. 160(C), pages 1316-1334.
    8. Zhang, Minhui & Zhang, Qin, 2020. "Grid parity analysis of distributed photovoltaic power generation in China," Energy, Elsevier, vol. 206(C).
    9. Mohamed Abdel-Basset & Reda Mohamed & Attia El-Fergany & Mohamed Abouhawwash & S. S. Askar, 2021. "Parameters Identification of PV Triple-Diode Model Using Improved Generalized Normal Distribution Algorithm," Mathematics, MDPI, vol. 9(9), pages 1-23, April.
    10. Khanna, Vandana & Das, B.K. & Bisht, Dinesh & Vandana, & Singh, P.K., 2015. "A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm," Renewable Energy, Elsevier, vol. 78(C), pages 105-113.
    11. Ishaque, Kashif & Salam, Zainal & Mekhilef, Saad & Shamsudin, Amir, 2012. "Parameter extraction of solar photovoltaic modules using penalty-based differential evolution," Applied Energy, Elsevier, vol. 99(C), pages 297-308.
    12. Nabavi-Pelesaraei, Ashkan & Azadi, Hossein & Van Passel, Steven & Saber, Zahra & Hosseini-Fashami, Fatemeh & Mostashari-Rad, Fatemeh & Ghasemi-Mobtaker, Hassan, 2021. "Prospects of solar systems in production chain of sunflower oil using cold press method with concentrating energy and life cycle assessment," Energy, Elsevier, vol. 223(C).
    13. Pan, Jeng-Shyang & Tian, Ai-Qing & Snášel, Václav & Kong, Lingping & Chu, Shu-Chuan, 2022. "Maximum power point tracking and parameter estimation for multiple-photovoltaic arrays based on enhanced pigeon-inspired optimization with Taguchi method," Energy, Elsevier, vol. 251(C).
    14. Ahmad, Lujean & Khordehgah, Navid & Malinauskaite, Jurgita & Jouhara, Hussam, 2020. "Recent advances and applications of solar photovoltaics and thermal technologies," Energy, Elsevier, vol. 207(C).
    15. Oliva, Diego & Abd El Aziz, Mohamed & Ella Hassanien, Aboul, 2017. "Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm," Applied Energy, Elsevier, vol. 200(C), pages 141-154.
    16. Guojiang Xiong & Jing Zhang & Dongyuan Shi & Xufeng Yuan, 2019. "Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models," Complexity, Hindawi, vol. 2019, pages 1-22, November.
    17. Chin, Vun Jack & Salam, Zainal, 2019. "A New Three-point-based Approach for the Parameter Extraction of Photovoltaic Cells," Applied Energy, Elsevier, vol. 237(C), pages 519-533.
    18. Pillai, Dhanup S. & Rajasekar, N., 2018. "A comprehensive review on protection challenges and fault diagnosis in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 18-40.
    19. Chin, Vun Jack & Salam, Zainal & Ishaque, Kashif, 2015. "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, Elsevier, vol. 154(C), pages 500-519.
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    Cited by:

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    2. Xiaolei Fu & Yizhi Tian, 2023. "The Study of a Magnetostrictive-Based Shading Detection Method and Device for the Photovoltaic System," Energies, MDPI, vol. 16(6), pages 1-23, March.

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