IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p5273-d867536.html
   My bibliography  Save this article

Total Frequency Spread: A New Metric to Assess the Switching Frequency Spread of FCS-MPC

Author

Listed:
  • Thiago Tricarico

    (Electrical Engineering Department, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, Brazil)

  • João Adolpho Costa

    (Electrical Engineering Department, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, Brazil)

  • Danilo Herrera

    (Departamento de Tecnología Electrónica, Universidad de Sevilla, 41012 Sevilla, Spain)

  • Eduardo Galván-Díez

    (Departamento de Tecnología Electrónica, Universidad de Sevilla, 41012 Sevilla, Spain)

  • Juan M. Carrasco

    (Departamento de Tecnología Electrónica, Universidad de Sevilla, 41012 Sevilla, Spain)

  • Mauricio Aredes

    (Electrical Engineering Department, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, Brazil)

Abstract

This work proposes a metric to assess the spread of the switching frequency profile of power converters, focusing on Finite Control Set-Model-Predictive-Control (FCS-MPC)-based converters, and analyses the effect of the filter sizing, sampling period, and cost function on the switching frequency spread. An algorithm that estimates the instantaneous switching frequency is the basis of the proposed metric. The literature review shows that only two metrics, THD and average switching frequency, are used to assess the switching frequency of FCS-MPC, but the findings of this research show that both are insufficient to characterize FCS-MPC. The main contribution of this paper is that now researchers can quantitatively assess the switching frequency spread of FCS-MPC through the proposed metric.

Suggested Citation

  • Thiago Tricarico & João Adolpho Costa & Danilo Herrera & Eduardo Galván-Díez & Juan M. Carrasco & Mauricio Aredes, 2022. "Total Frequency Spread: A New Metric to Assess the Switching Frequency Spread of FCS-MPC," Energies, MDPI, vol. 15(14), pages 1-20, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5273-:d:867536
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/5273/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/14/5273/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mahmoud Elsisi & Minh-Quang Tran & Hany M. Hasanien & Rania A. Turky & Fahad Albalawi & Sherif S. M. Ghoneim, 2021. "Robust Model Predictive Control Paradigm for Automatic Voltage Regulators against Uncertainty Based on Optimization Algorithms," Mathematics, MDPI, vol. 9(22), pages 1-19, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roberto O. Ramírez & Carlos R. Baier & Felipe Villarroel & Eduardo Espinosa & Mauricio Arevalo & Jose R. Espinoza, 2023. "Reduction of DC Capacitor Size in Three-Phase Input/Single-Phase Output Power Cells of Multi-Cell Converters through Resonant and Predictive Control: A Characterization of Its Impact on the Operating ," Mathematics, MDPI, vol. 11(14), pages 1-19, July.

    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. Basma Salah & Hany M. Hasanien & Fadia M. A. Ghali & Yasser M. Alsayed & Shady H. E. Abdel Aleem & Adel El-Shahat, 2022. "African Vulture Optimization-Based Optimal Control Strategy for Voltage Control of Islanded DC Microgrids," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    2. Dong, Zhe & Li, Bowen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2022. "Power-pressure coordinated control of modular high temperature gas-cooled reactors," Energy, Elsevier, vol. 252(C).
    3. Dorin Bordeașu & Octavian Proștean & Ioan Filip & Florin Drăgan & Cristian Vașar, 2022. "Modelling, Simulation and Controlling of a Multi-Pump System with Water Storage Powered by a Fluctuating and Intermittent Power Source," Mathematics, MDPI, vol. 10(21), pages 1-24, October.
    4. Jianwei Yang & Zhen Liu & Xin Zhang & Gang Hu, 2022. "Elite Chaotic Manta Ray Algorithm Integrated with Chaotic Initialization and Opposition-Based Learning," Mathematics, MDPI, vol. 10(16), pages 1-34, August.

    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:15:y:2022:i:14:p:5273-:d:867536. 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.