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Review of Online and Soft Computing Maximum Power Point Tracking Techniques under Non-Uniform Solar Irradiation Conditions

Author

Listed:
  • Amjad Ali

    (Centre of Research Excellence in Renewable Energy (CoRE), King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • K. Almutairi

    (Community College, Mechanical Engineering Technology Department, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia)

  • Muhammad Zeeshan Malik

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Kashif Irshad

    (Centre of Research Excellence in Renewable Energy (CoRE), King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Vineet Tirth

    (Department of Mechanical Engineering, King Khalid University, Abha 61413, Saudi Arabia)

  • Salem Algarni

    (Department of Mechanical Engineering, King Khalid University, Abha 61413, Saudi Arabia)

  • Md. Hasan Zahir

    (Centre of Research Excellence in Renewable Energy (CoRE), King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Saiful Islam

    (Department of Geotechnics & Transportation, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Md Shafiullah

    (Centre of Research Excellence in Renewable Energy (CoRE), King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Neeraj Kumar Shukla

    (Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61413, Saudi Arabia)

Abstract

Significant growth in solar photovoltaic (PV) installation has been observed during the last decade in standalone and grid-connected power generation systems. However, the PV system has a non-linear output characteristic because of weather intermittency, which tends to a substantial loss in overall system output. Thus, to optimize the output of the PV system, maximum power point tracking (MPPT) techniques are used to track the global maximum power point (GMPP) and extract the maximum power from the PV system under different weather conditions with better precision. Since MPPT is an essential part of the PV system, to date, many MPPT methods have been developed by various researchers, each with unique features. A Google Scholar survey of the last five years (2015–2020) was performed to investigate the number of review articles published. It was found that overall, seventy-one review articles were published on different MPPT techniques; out of those, only four were on non-uniform solar irradiance, and seven review articles included shading conditions. Unfortunately, very few attempts were made in this regard. Therefore, a comprehensive review paper on this topic is needed, in which almost all the well-known MPPT techniques should be encapsulated in one document. This article focuses on online and soft-computing MPPT algorithm classifications under non-uniform irradiance conditions along with their mathematical expression, operating principles, and block diagram/flow charts. It will provide a direction for future research and development in the field of maximum power point tracking optimization.

Suggested Citation

  • Amjad Ali & K. Almutairi & Muhammad Zeeshan Malik & Kashif Irshad & Vineet Tirth & Salem Algarni & Md. Hasan Zahir & Saiful Islam & Md Shafiullah & Neeraj Kumar Shukla, 2020. "Review of Online and Soft Computing Maximum Power Point Tracking Techniques under Non-Uniform Solar Irradiation Conditions," Energies, MDPI, vol. 13(12), pages 1-37, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3256-:d:375504
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    References listed on IDEAS

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    Cited by:

    1. Mohammad R. Altimania & Nadia A. Elsonbaty & Mohamed A. Enany & Mahmoud M. Gamil & Saeed Alzahrani & Musfer Hasan Alraddadi & Ruwaybih Alsulami & Mohammad Alhartomi & Moahd Alghuson & Fares Alatawi & , 2023. "Optimal Performance of Photovoltaic-Powered Water Pumping System," Mathematics, MDPI, vol. 11(3), pages 1-21, February.
    2. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    3. Duberney Murillo-Yarce & José Alarcón-Alarcón & Marco Rivera & Carlos Restrepo & Javier Muñoz & Carlos Baier & Patrick Wheeler, 2020. "A Review of Control Techniques in Photovoltaic Systems," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    4. Sukanta Roy & Anjan Debnath & Mohd Tariq & Milad Behnamfar & Arif Sarwat, 2023. "Characterizing Current THD’s Dependency on Solar Irradiance and Supraharmonics Profiling for a Grid-Tied Photovoltaic Power Plant," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    5. Amjad Ali & Kashif Irshad & Mohammad Farhan Khan & Md Moinul Hossain & Ibrahim N. A. Al-Duais & Muhammad Zeeshan Malik, 2021. "Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    6. Hina Gohar Ali & Ramon Vilanova Arbos, 2020. "Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking," Energies, MDPI, vol. 13(21), pages 1-18, October.
    7. Kuei-Hsiang Chao & Muhammad Nursyam Rizal, 2021. "A Hybrid MPPT Controller Based on the Genetic Algorithm and Ant Colony Optimization for Photovoltaic Systems under Partially Shaded Conditions," Energies, MDPI, vol. 14(10), pages 1-17, May.
    8. Alfredo Gil-Velasco & Carlos Aguilar-Castillo, 2021. "A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions," Energies, MDPI, vol. 14(9), pages 1-12, April.
    9. Adeel Feroz Mirza & Majad Mansoor & Qiang Ling & Muhammad Imran Khan & Omar M. Aldossary, 2020. "Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller," Energies, MDPI, vol. 13(16), pages 1-25, August.
    10. Fateh Mehazzem & Maina André & Rudy Calif, 2022. "Efficient Output Photovoltaic Power Prediction Based on MPPT Fuzzy Logic Technique and Solar Spatio-Temporal Forecasting Approach in a Tropical Insular Region," Energies, MDPI, vol. 15(22), pages 1-21, November.
    11. Jacek Kusznier, 2023. "Influence of Environmental Factors on the Intelligent Management of Photovoltaic and Wind Sections in a Hybrid Power Plant," Energies, MDPI, vol. 16(4), pages 1-15, February.

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