IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2782-d1099643.html
   My bibliography  Save this article

A Novel Adaptive Control Approach for Maximum Power-Point Tracking in Photovoltaic Systems

Author

Listed:
  • Muhammad Ahmed Qureshi

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

  • Francesco Torelli

    (Dipartimento Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, 70125 Bari, Italy)

  • Salvatore Musumeci

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

  • Alberto Reatti

    (Dipartimento Ingegneria dell’Informazione, University of Florence, 50139 Firenze, Italy)

  • Andrea Mazza

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

  • Gianfranco Chicco

    (Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy)

Abstract

Maximum power-point tracking (MPPT) is applied to enable effective operation of photovoltaic (PV) systems under different external conditions. MPPT is based on a control system that aims at maintaining the PV system operation in the most effective conditions of maximum power output. This paper demonstrates the effective application of a novel adaptive control approach developed to be used in the field of power electronics. The application to MPPT is developed by using a non-inverted Buck-Boost converter applied to the PV system. The novel control methodology is based on the application of the Lyapunov stability concepts. The strength of this novel control technique is confirmed by the accurate comparison among the results obtained by using the proposed solution and some controllers proposed in the literature.

Suggested Citation

  • Muhammad Ahmed Qureshi & Francesco Torelli & Salvatore Musumeci & Alberto Reatti & Andrea Mazza & Gianfranco Chicco, 2023. "A Novel Adaptive Control Approach for Maximum Power-Point Tracking in Photovoltaic Systems," Energies, MDPI, vol. 16(6), pages 1-18, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2782-:d:1099643
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2782/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/6/2782/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Eltamaly, Ali M., 2021. "A novel musical chairs algorithm applied for MPPT of PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhannad Alaraj & Astitva Kumar & Ibrahim Alsaidan & Mohammad Rizwan & Majid Jamil, 2022. "An Advanced and Robust Approach to Maximize Solar Photovoltaic Power Production," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    2. Yılmaz, Mehmet & Kaleli, Alirıza & Çorapsız, Muhammed Fatih, 2023. "Machine learning based dynamic super twisting sliding mode controller for increase speed and accuracy of MPPT using real-time data under PSCs," Renewable Energy, Elsevier, vol. 219(P1).
    3. Víctor Ferreira Gruner & Jefferson William Zanotti & Walbermark Marques Santos & Thiago Antonio Pereira & Lenon Schmitz & Denizar Cruz Martins & Roberto Francisco Coelho, 2023. "Modified Current Sensorless Incremental Conductance Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 16(2), pages 1-16, January.
    4. Ali M. Eltamaly, 2023. "Smart Decentralized Electric Vehicle Aggregators for Optimal Dispatch Technologies," Energies, MDPI, vol. 16(24), pages 1-28, December.
    5. Marcus Evandro Teixeira Souza Junior & Luiz Carlos Gomes Freitas, 2022. "Power Electronics for Modern Sustainable Power Systems: Distributed Generation, Microgrids and Smart Grids—A Review," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    6. Domenico Curto & Vincenzo Franzitta & Andrea Guercio & Rosario Miceli & Claudio Nevoloso & Francesco Maria Raimondi & Marco Trapanese, 2022. "An Experimental Comparison between an Ironless and a Traditional Permanent Magnet Linear Generator for Wave Energy Conversion," Energies, MDPI, vol. 15(7), pages 1-21, March.
    7. Majed A. Alotaibi & Ali M. Eltamaly, 2021. "A Smart Strategy for Sizing of Hybrid Renewable Energy System to Supply Remote Loads in Saudi Arabia," Energies, MDPI, vol. 14(21), pages 1-24, October.
    8. Ali M. Eltamaly & Majed A. Alotaibi, 2024. "Novel Hybrid Mexican Axolotl Optimization with Fuzzy Logic for Maximum Power Point Tracker of Partially Shaded Photovoltaic Systems," Energies, MDPI, vol. 17(11), pages 1-25, May.
    9. Waqas Ahmed & Jamil Ahmed Sheikh & M. A. Parvez Mahmud, 2021. "Impact of PV System Tracking on Energy Production and Climate Change," Energies, MDPI, vol. 14(17), pages 1-7, August.
    10. Mostafa Ahmed & Ibrahim Harbi & Ralph Kennel & José Rodríguez & Mohamed Abdelrahem, 2022. "Evaluation of the Main Control Strategies for Grid-Connected PV Systems," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    11. Efrain Mendez-Flores & Alexandro Ortiz & Israel Macias & Arturo Molina, 2022. "Experimental Validation of an Enhanced MPPT Algorithm and an Optimal DC–DC Converter Design Powered by Metaheuristic Optimization for PV Systems," Energies, MDPI, vol. 15(21), pages 1-35, October.
    12. Jayachandran Jayaram & Malathi Srinivasan & Natarajan Prabaharan & Tomonobu Senjyu, 2022. "Design of Decentralized Hybrid Microgrid Integrating Multiple Renewable Energy Sources with Power Quality Improvement," Sustainability, MDPI, vol. 14(13), pages 1-28, June.
    13. Alessandro Busacca & Antonino Oscar Di Tommaso & Rosario Miceli & Claudio Nevoloso & Giuseppe Schettino & Gioacchino Scaglione & Fabio Viola & Ilhami Colak, 2022. "Switching Frequency Effects on the Efficiency and Harmonic Distortion in a Three-Phase Five-Level CHBMI Prototype with Multicarrier PWM Schemes: Experimental Analysis," Energies, MDPI, vol. 15(2), pages 1-29, January.
    14. Mahmoud Shahbazi & Niall Andrew Smith & Mousa Marzband & Habib Ur Rahman Habib, 2023. "A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters," Energies, MDPI, vol. 16(16), pages 1-24, August.
    15. Srinivasan Alwar & Devakirubakaran Samithas & Meenakshi Sundaram Boominathan & Praveen Kumar Balachandran & Lucian Mihet-Popa, 2022. "Performance Analysis of Thermal Image Processing-Based Photovoltaic Fault Detection and PV Array Reconfiguration—A Detailed Experimentation," Energies, MDPI, vol. 15(22), pages 1-21, November.
    16. Ruben Rafael Boros & István Bodnár, 2022. "Grid and PV Fed Uninterruptible Induction Motor Drive Implementation and Measurements," Energies, MDPI, vol. 15(3), pages 1-18, January.
    17. Minan Tang & Jinping Li & Jiandong Qiu & Xi Guo & Bo An & Yaqi Zhang & Wenjuan Wang, 2023. "MPPT Strategy of Waterborne Bifacial Photovoltaic Power Generation System Based on Economic Model Predictive Control," Energies, MDPI, vol. 17(1), pages 1-20, December.
    18. Majed A. Alotaibi & Ali M. Eltamaly, 2022. "Upgrading Conventional Power System for Accommodating Electric Vehicle through Demand Side Management and V2G Concepts," Energies, MDPI, vol. 15(18), pages 1-27, September.
    19. Ali M. Eltamaly & Zeyad A. Almutairi & Mohamed A. Abdelhamid, 2023. "Modern Optimization Algorithm for Improved Performance of Maximum Power Point Tracker of Partially Shaded PV Systems," Energies, MDPI, vol. 16(13), pages 1-22, July.
    20. Motab Turki Almousa & Mohamed R. Gomaa & Mostafa Ghasemi & Mohamed Louzazni, 2024. "Single-Sensor Global MPPT for PV System Interconnected with DC Link Using Recent Red-Tailed Hawk Algorithm," Energies, MDPI, vol. 17(14), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2782-:d:1099643. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.