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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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    1. Daraban, Stefan & Petreus, Dorin & Morel, Cristina, 2014. "A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading," Energy, Elsevier, vol. 74(C), pages 374-388.
    2. Solangi, K.H. & Islam, M.R. & Saidur, R. & Rahim, N.A. & Fayaz, H., 2011. "A review on global solar energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2149-2163, May.
    3. Çelik, Özgür & Teke, Ahmet & Tan, Adnan, 2018. "Overview of micro-inverters as a challenging technology in photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3191-3206.
    4. G, Dileep. & Singh, S.N., 2017. "Selection of non-isolated DC-DC converters for solar photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1230-1247.
    5. Ahmed, Jubaer & Salam, Zainal, 2015. "An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency," Applied Energy, Elsevier, vol. 150(C), pages 97-108.
    6. Hasan, Rasedul & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Grid-connected isolated PV microinverters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1065-1080.
    7. Ankit, & Sahoo, Sarat Kumar & Sukchai, Sukruedee & Yanine, Franco Fernando, 2018. "Review and comparative study of single-stage inverters for a PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 962-986.
    8. Khan, Ahmad & Ben-Brahim, Lazhar & Gastli, Adel & Benammar, Mohieddine, 2017. "Review and simulation of leakage current in transformerless microinverters for PV applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1240-1256.
    9. Trujillo, C.L. & Santamaría, F. & Gaona, E.E., 2016. "Modeling and testing of two-stage grid-connected photovoltaic micro-inverters," Renewable Energy, Elsevier, vol. 99(C), pages 533-542.
    10. Mamarelis, Emilio & Petrone, Giovanni & Spagnuolo, Giovanni, 2014. "A two-steps algorithm improving the P&O steady state MPPT efficiency," Applied Energy, Elsevier, vol. 113(C), pages 414-421.
    11. Hossain, M.Z. & Rahim, N.A. & Selvaraj, Jeyraj a/l, 2018. "Recent progress and development on power DC-DC converter topology, control, design and applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 205-230.
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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).

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