IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i3p758-d1333802.html
   My bibliography  Save this article

LCL Trap Filter Analysis with a PFC Isolated Ćuk Converter Using SiC MOSFET for DCM

Author

Listed:
  • Erdal Şehirli

    (Division Power Electronics, Silicon Austria Labs GmbH, Sandgasse 34, 8010 Graz, Austria)

Abstract

The main contribution of the paper concerns the use of an LCL trap filter with a PFC isolated Ćuk converter. Further, SiC MOSFET is used with a PFC isolated Ćuk converter designed for 50 W with 42 kHz in DCM. A small-signal model of the converter is cascaded with the filter model to investigate the effect of the filter on the whole system. Moreover, large-signal and small-signal models of the converter are compared to investigate the requirement of the small-signal analysis. In addition, an LTspice simulation using SiC MOSFET of the system is conducted and the results are compared by the applications for both LC and LCL trap filters with respect to different loading conditions. Further, the LCL trap filter is compared with the LC filter regarding the PF, THD, and efficiency. Controller design considering the filter is also presented. In addition, the converter is operated and compared using linear and nonlinear loads for each filter. Parametric variation in the filter components is investigated. As a result of the simulation and applications, the THD of the grid current is 4.83% and the PF is 0.998, meeting the standards, and the overall efficiency of the system is 85% with the LCL trap filter. It can be concluded that the presented filter provides better results than the LC filter.

Suggested Citation

  • Erdal Şehirli, 2024. "LCL Trap Filter Analysis with a PFC Isolated Ćuk Converter Using SiC MOSFET for DCM," Energies, MDPI, vol. 17(3), pages 1-22, February.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:758-:d:1333802
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/3/758/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/3/758/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lingling Xie & Di Wan, 2023. "Modeling and Harmonic Analysis of a Fractional-Order Zeta Converter," Energies, MDPI, vol. 16(9), pages 1-18, May.
    2. Xingyu Yang & Huanyi Zhou & Mohammad Alathamneh & R. M. Nelms, 2023. "An Evolutionary Annealing–Simplex Method for Inductance Value Selection for LCL Filters," Energies, MDPI, vol. 16(10), pages 1-16, May.
    3. Zhuangzhi Dai & Jilong Liu & Kefeng Li & Zhiqin Mai & Guijing Xue, 2023. "Research on a Modeling and Control Strategy for Interleaved Boost Converters with Coupled Inductors," Energies, MDPI, vol. 16(9), pages 1-15, April.
    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.

      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:17:y:2024:i:3:p:758-:d:1333802. 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.