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A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning

Author

Listed:
  • Mohammed Alkahtani

    (Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK)

  • Zuyu Wu

    (Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK)

  • Colin Sokol Kuka

    (Department of Electronic Engineering, University of York, Heslington York YO10 5EZ, UK)

  • Muflah S. Alahammad

    (Aerospace, Canfield University, Bedford MK43 0AL, UK)

  • Kai Ni

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Photovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum power point (MPP) can be tracked by global maximum power point tracking (GMPPT). Therefore, the present work undertakes such an assessment by devising an algorithm to optimise the PV array electrical structure as the PV modules undergo aging in a non-uniform way. To enable PV arrays with non-uniform aging to produce as much power as possible and to make maintenance more cost-effective, the work puts forward a novel approach for reconfiguring PV arrays, where the PV modules are repositioned by retaining the aged PV modules. By this approach, the selection of the best reconfiguration topology necessitates the information on the electrical parameters associated with the PV modules in an array. Furthermore, the non-uniform aging of the PV modules can engender an incompatibility effect, which can be diminished in the proposed algorithm through iterative sorting of the modules in a hierarchical pattern. To determine how effective the method is for PV arrays with non-uniform aging and of different sizes, such as 3 × 4, 5 × 8 and 7 × 8 arrays, computer simulation and analysis have been conducted, with findings indicating that, irrespective of dimensions, PV arrays with non-uniform aging can have improved power yield.

Suggested Citation

  • Mohammed Alkahtani & Zuyu Wu & Colin Sokol Kuka & Muflah S. Alahammad & Kai Ni, 2020. "A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning," J, MDPI, vol. 3(1), pages 1-22, February.
    • Handle: RePEc:gam:jjopen:v:3:y:2020:i:1:p:5-53:d:319341
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    References listed on IDEAS

    as
    1. Xiaoguang Liu & Yuefeng Wang, 2019. "Reconfiguration Method to Extract More Power from Partially Shaded Photovoltaic Arrays with Series-Parallel Topology," Energies, MDPI, vol. 12(8), pages 1-16, April.
    2. Chayut Tubniyom & Rongrit Chatthaworn & Amnart Suksri & Tanakorn Wongwuttanasatian, 2018. "Minimization of Losses in Solar Photovoltaic Modules by Reconfiguration under Various Patterns of Partial Shading," Energies, MDPI, vol. 12(1), pages 1-15, December.
    3. Scarlat, Nicolae & Dallemand, Jean-François & Monforti-Ferrario, Fabio & Banja, Manjola & Motola, Vincenzo, 2015. "Renewable energy policy framework and bioenergy contribution in the European Union – An overview from National Renewable Energy Action Plans and Progress Reports," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 969-985.
    4. Peter Udenze & Yihua Hu & Huiqing Wen & Xianming Ye & Kai Ni, 2018. "A Reconfiguration Method for Extracting Maximum Power from Non-Uniform Aging Solar Panels," Energies, MDPI, vol. 11(10), pages 1-15, October.
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    Cited by:

    1. Fathy, Ahmed & Yousri, Dalia & Babu, Thanikanti Sudhakar & Rezk, Hegazy, 2023. "Triple X Sudoku reconfiguration for alleviating shading effect on total-cross-tied PV array," Renewable Energy, Elsevier, vol. 204(C), pages 593-604.

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