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Experimental assessment of new fast MPPT algorithm for PV systems under non-uniform irradiance conditions

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  • Bradai, R.
  • Boukenoui, R.
  • Kheldoun, A.
  • Salhi, H.
  • Ghanes, M.
  • Barbot, J-P.
  • Mellit, A.

Abstract

The paper carries out an experimental investigation of a new Maximum Power Point Tracking (MPPT) method for standalone Photovoltaic (PV) systems. The new method combines a novel mechanism of global maximum power point identifying loop when the system undergoes multiple maximum power points and the use of adaptive variable step Hill Climbing (HC) MPPT technique to track the identified Global Maximum Power Point (GMPP). To figure out the advantages of the proposed method, it is implemented together with three local MPPTs (e.g., two conventional MPPTs and fuzzy logic-based one) and compared with six recently developed Global MPPT methods. Obtained experimental results as well as comparison outcomes show that the proposed MPPT technique is fast while tracking GMPP (around 2.4s) and resilient against perturbations that may occur during the operation of the PV system. Moreover, the proposed MPPT method boasts other advantages such as ease of implementation, no dependence on the PV system and requires only two conventional sensors of voltage and current respectively.

Suggested Citation

  • Bradai, R. & Boukenoui, R. & Kheldoun, A. & Salhi, H. & Ghanes, M. & Barbot, J-P. & Mellit, A., 2017. "Experimental assessment of new fast MPPT algorithm for PV systems under non-uniform irradiance conditions," Applied Energy, Elsevier, vol. 199(C), pages 416-429.
    • Handle: RePEc:eee:appene:v:199:y:2017:i:c:p:416-429
    DOI: 10.1016/j.apenergy.2017.05.045
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    7. Poompavai, T. & Kowsalya, M., 2019. "Control and energy management strategies applied for solar photovoltaic and wind energy fed water pumping system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 108-122.
    8. Refaat, Ahmed & Ali, Qays Adnan & Elsakka, Mohamed Mohamed & Elhenawy, Yasser & Majozi, Thokozani & Korovkin, Nikolay V. & Elfar, Medhat Hegazy, 2024. "Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions," Renewable Energy, Elsevier, vol. 220(C).
    9. Spiliotis, Konstantinos & Gonçalves, Juliana E. & Van De Sande, Wieland & Ravyts, Simon & Daenen, Michael & Saelens, Dirk & Baert, Kris & Driesen, Johan, 2019. "Modeling and validation of a DC/DC power converter for building energy simulations: Application to BIPV systems," Applied Energy, Elsevier, vol. 240(C), pages 646-665.
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    11. Blaifi, Sid-ali & Moulahoum, Samir & Taghezouit, Bilal & Saim, Abdelhakim, 2019. "An enhanced dynamic modeling of PV module using Levenberg-Marquardt algorithm," Renewable Energy, Elsevier, vol. 135(C), pages 745-760.
    12. Yuhang Liu & Xiangxin Liu & Jianwei Zhang & Yufeng Zhang & Ziyao Zhu, 2020. "A Novel Maximum Power Point Tracking Control Strategy for the Building Integrated Photovoltaic System," Energies, MDPI, vol. 13(11), pages 1-23, May.
    13. Yinxiao Zhu & Moon Keun Kim & Huiqing Wen, 2018. "Simulation and Analysis of Perturbation and Observation-Based Self-Adaptable Step Size Maximum Power Point Tracking Strategy with Low Power Loss for Photovoltaics," Energies, MDPI, vol. 12(1), pages 1-20, December.
    14. Aly, Shahzada Pamir & Ahzi, Said & Barth, Nicolas, 2019. "An adaptive modelling technique for parameters extraction of photovoltaic devices under varying sunlight and temperature conditions," Applied Energy, Elsevier, vol. 236(C), pages 728-742.
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    16. Catalina González-Castaño & Carlos Restrepo & Javier Revelo-Fuelagán & Leandro L. Lorente-Leyva & Diego H. Peluffo-Ordóñez, 2021. "A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions," Mathematics, MDPI, vol. 9(21), pages 1-23, October.

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