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A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems

Author

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  • Musong L. Katche

    (Department of Mechanical, Production, and Energy Engineering, Moi University, Eldoret P.O. Box 3900-30100, Kenya
    Faculty of Engineering and Technology, University of Buea, Buea P.O. Box 63, Cameroon)

  • Augustine B. Makokha

    (Department of Mechanical, Production, and Energy Engineering, Moi University, Eldoret P.O. Box 3900-30100, Kenya)

  • Siagi O. Zachary

    (Department of Mechanical, Production, and Energy Engineering, Moi University, Eldoret P.O. Box 3900-30100, Kenya)

  • Muyiwa S. Adaramola

    (Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, 1430 Ås, Norway)

Abstract

Renewable Energy technologies are becoming suitable options for fast and reliable universal electricity access for all. Solar photovoltaic, being one of the RE technologies, produces variable output power (due to variations in solar radiation, cell, and ambient temperatures), and the modules used have low conversion efficiency. Therefore, maximum power point trackers are needed to harvest more power from the sun and to improve the efficiency of photovoltaic systems. This paper reviews the methods used for maximum power point tracking in photovoltaic systems. These methods have been classified into conventional, intelligent, optimization, and hybrid techniques. A comparison has also been made of the different methods based on criteria such as tracking speed, efficiency, cost, stability, and complexity of implementation. From the literature, it is clear that hybrid techniques are highly efficient compared to conventional methods but are more complex in design and more expensive than the conventional methods. This review makes available useful information that can be exploited when choosing or designing MPPT controllers.

Suggested Citation

  • Musong L. Katche & Augustine B. Makokha & Siagi O. Zachary & Muyiwa S. Adaramola, 2023. "A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems," Energies, MDPI, vol. 16(5), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2206-:d:1079557
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    References listed on IDEAS

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    Cited by:

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    2. Marek Pavlík & Matej Bereš & Dobroslav Kováč & Tibor Vince & Irena Kováčová & Ján Molnár, 2023. "Efficiency Optimization in Multi-Branch Converters through Dynamic Control," Sustainability, MDPI, vol. 15(22), pages 1-25, November.
    3. Safdar Mehmood & Yang Xia & Furong Qu & Meng He, 2023. "Investigating the Performance of Efficient and Stable Planer Perovskite Solar Cell with an Effective Inorganic Carrier Transport Layer Using SCAPS-1D Simulation," Energies, MDPI, vol. 16(21), pages 1-14, November.
    4. Larbi Chrifi-Alaoui & Saïd Drid & Mohammed Ouriagli & Driss Mehdi, 2023. "Overview of Photovoltaic and Wind Electrical Power Hybrid Systems," Energies, MDPI, vol. 16(12), pages 1-35, June.
    5. M. Usman Khan & Ali Faisal Murtaza & Abdullah M. Noman & Hadeed Ahmed Sher & Maria Zafar, 2023. "State-Space Modeling, Design, and Analysis of the DC-DC Converters for PV Application: A Review," Sustainability, MDPI, vol. 16(1), pages 1-20, December.
    6. Zulfiqar Ali & Syed Zagam Abbas & Anzar Mahmood & Syed Wajahat Ali & Syed Bilal Javed & Chun-Lien Su, 2023. "A Study of a Generalized Photovoltaic System with MPPT Using Perturb and Observer Algorithms under Varying Conditions," Energies, MDPI, vol. 16(9), pages 1-21, April.

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