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Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review

Author

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  • Haoming Liu

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Muhammad Yasir Ali Khan

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Xiaoling Yuan

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

Abstract

To efficiently and accurately track the Global Maximum Power Point (GMPP) of the PV system under Varying Environmental Conditions (VECs), numerous hybrid Maximum Power Point Tracking (MPPT) techniques were developed. In this research work, different hybrid MPPT techniques are categorized into three types: a combination of conventional algorithms, a combination of soft computing algorithms, and a combination of conventional and soft computing algorithms are discussed in detail. Particularly, about 90 hybrid MPPT techniques are presented, and their key specifications, such as accuracy, speed, cost, complexity, etc., are summarized. Along with these specifications, numerous other parameters, such as the PV panel’s location, season, tilt, orientation, etc., are also discussed, which makes its selection easier according to the requirements. This research work is organized in such a manner that it provides a valuable path for energy engineers and researchers to select an appropriate MPPT technique based on the projects’ limitations and objectives.

Suggested Citation

  • Haoming Liu & Muhammad Yasir Ali Khan & Xiaoling Yuan, 2023. "Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review," Energies, MDPI, vol. 16(15), pages 1-64, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5665-:d:1204342
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    References listed on IDEAS

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    2. Abhishek Sharma & Abhinav Sharma & Vibhu Jately & Moshe Averbukh & Shailendra Rajput & Brian Azzopardi, 2022. "A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions," Energies, MDPI, vol. 15(9), pages 1-21, April.
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    13. Muhammad Yasir Ali Khan & Haoming Liu & Salman Habib & Danish Khan & Xiaoling Yuan, 2022. "Design and Performance Evaluation of a Step-Up DC–DC Converter with Dual Loop Controllers for Two Stages Grid Connected PV Inverter," Sustainability, MDPI, vol. 14(2), pages 1-22, January.
    14. Carlos Restrepo & Nicolas Yanẽz-Monsalvez & Catalina González-Castaño & Samir Kouro & Jose Rodriguez, 2021. "A Fast Converging Hybrid MPPT Algorithm Based on ABC and P&O Techniques for a Partially Shaded PV System," Mathematics, MDPI, vol. 9(18), pages 1-25, September.
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    1. Marco Balato & Carlo Petrarca & Annalisa Liccardo & Martina Botti & Luigi Verolino, 2023. "A Fast Reconfiguration Technique for Boost-Based DMPPT PV Systems Based on Deterministic Clustering Analysis," Energies, MDPI, vol. 16(23), pages 1-19, December.

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