IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p16032-d1281932.html
   My bibliography  Save this article

Efficiency Optimization in Multi-Branch Converters through Dynamic Control

Author

Listed:
  • Marek Pavlík

    (Department of Electric Power Engineering, Technical University of Košice, Letná 1/9, Košice-Sever, 042 00 Košice, Slovakia)

  • Matej Bereš

    (Department of Theoretical and Industrial Electrical Engineering, Technical University of Košice, Letná 1/9, Košice-Sever, 042 00 Košice, Slovakia)

  • Dobroslav Kováč

    (Department of Theoretical and Industrial Electrical Engineering, Technical University of Košice, Letná 1/9, Košice-Sever, 042 00 Košice, Slovakia)

  • Tibor Vince

    (Department of Theoretical and Industrial Electrical Engineering, Technical University of Košice, Letná 1/9, Košice-Sever, 042 00 Košice, Slovakia)

  • Irena Kováčová

    (Department of Theoretical and Industrial Electrical Engineering, Technical University of Košice, Letná 1/9, Košice-Sever, 042 00 Košice, Slovakia)

  • Ján Molnár

    (Department of Theoretical and Industrial Electrical Engineering, Technical University of Košice, Letná 1/9, Košice-Sever, 042 00 Košice, Slovakia)

Abstract

As the global emphasis on solar energy intensifies, optimizing the efficiency of photovoltaic panels becomes crucial in meeting energy demands sustainably. Addressing this, our research delves deeply into advancing maximum power point tracking (MPPT), a pivotal component in perfecting the energy conversion process. Leveraging state-of-the-art mathematical modeling, in-depth simulations, and comprehensive experimental validation, we set out to markedly refine the performance of non-isolated multi-branch buck DC–DC converters. In this pursuit, we introduce an innovative algorithm meticulously designed to adjust the number of active branches. This adjustment is rooted in robust efficiency metrics, ensuring optimal power delivery even under dynamic and fluctuating conditions. We place a distinct emphasis on the transformative role of current in determining converter efficiency. Drawing from our findings, we advocate for an adaptive control strategy, precisely engineered to thrive in a spectrum of operational contexts. With this study, we not only present pivotal contributions to the domain of photovoltaic technology but also chart out clear expectations for future endeavors. Our hope is that these advancements serve as foundational steps, guiding the evolution of sustainable energy generation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16032-:d:1281932
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/16032/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/22/16032/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    2. 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.
    3. Muhammed Y. Worku & Mohamed A. Hassan & Luqman S. Maraaba & Md Shafiullah & Mohamed R. Elkadeem & Md Ismail Hossain & Mohamed A. Abido, 2023. "A Comprehensive Review of Recent Maximum Power Point Tracking Techniques for Photovoltaic Systems under Partial Shading," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    4. 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.
    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.

    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:jsusta:v:15:y:2023:i:22:p:16032-:d:1281932. 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.