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Hardware Approach to Mitigate the Effects of Module Mismatch in a Grid-connected Photovoltaic System: A Review

Author

Listed:
  • Hussain Bassi

    (Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Department of Electrical Engineering, Faculty of Engineering, King Abdulaziz University, Rabigh 25732, Saudi Arabia)

  • Zainal Salam

    (Center of Electrical Energy System, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Mohd Zulkifli Ramli

    (Faculty of Electrical Engineering, Faculty of Engineering, Universiti Teknikal Malaysia Melaka, Ayer Keroh 71600, Malaysia)

  • Hatem Sindi

    (Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Muhyaddin Rawa

    (Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

This study reviews the hardware approach to mitigate the effects of module mismatch in a grid-connected photovoltaic (PV) system. Unlike software solutions, i.e. the maximum power tracking algorithm, hardware techniques are well suited to enhance energy yield because of their inherent ability to extract energy from the mismatched module. Despite the extra cost of the additional circuitry, hardware techniques have recently gained popularity because of their long-term financial benefits. Notwithstanding the growing interest in this topic, review papers that provide updates on the technological developments of the three main hardware solutions, namely micro inverter, DC power optimizer, and energy recovery circuits, are lacking. This is in contrast to software solutions, which have had a considerable number of reputable reviews. Thus, a comprehensive review paper is appropriate at this juncture to provide up-to-date information on the latest topologies, highlight their merits/drawbacks, and evaluate their comparative performance.

Suggested Citation

  • Hussain Bassi & Zainal Salam & Mohd Zulkifli Ramli & Hatem Sindi & Muhyaddin Rawa, 2019. "Hardware Approach to Mitigate the Effects of Module Mismatch in a Grid-connected Photovoltaic System: A Review," Energies, MDPI, vol. 12(22), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4321-:d:286375
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    References listed on IDEAS

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    Cited by:

    1. Khairy Sayed & Mohammed G. Gronfula & Hamdy A. Ziedan, 2020. "Novel Soft-Switching Integrated Boost DC-DC Converter for PV Power System," Energies, MDPI, vol. 13(3), pages 1-17, February.
    2. Mehedi, I.M. & Salam, Z. & Ramli, M.Z. & Chin, V.J. & Bassi, H. & Rawa, M.J.H. & Abdullah, M.P., 2021. "Critical evaluation and review of partial shading mitigation methods for grid-connected PV system using hardware solutions: The module-level and array-level approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    3. Boris I. Evstatiev & Dimitar T. Trifonov & Katerina G. Gabrovska-Evstatieva & Nikolay P. Valov & Nicola P. Mihailov, 2024. "PV Module Soiling Detection Using Visible Spectrum Imaging and Machine Learning," Energies, MDPI, vol. 17(20), pages 1-20, October.

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