IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3041-d1061021.html
   My bibliography  Save this article

An Effective Transformerless PUC7-Based Dynamic Voltage Restorer Using Model Predictive Control

Author

Listed:
  • Mohamed Trabelsi

    (Electronics and Communications Engineering Department, Kuwait College of Science and Technology, Kuwait City P.O. Box 27235, Kuwait)

  • Hasan Komurcugil

    (Department of Computer Engineering, Eastern Mediterranean University, Via Mersin 10, Famagusta 999043, Turkey)

  • Sertac Bayhan

    (Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar)

  • Haitham Abu-Rub

    (Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Qatar Foundation, Doha P.O. Box 23874, Qatar)

Abstract

This paper investigates the performance of a seven-level Packed U Cell (PUC7) inverter-based transformerless Dynamic Voltage Restorer (DVR) topology under short-time voltage variations (voltage sags and swells). Unlike the existing multilevel inverter (MLI)-based DVR solutions, the proposed structure requires only one DC voltage source (suitable for PV-based DVR systems), one capacitor, and six switching devices to generate seven-level output voltage. Moreover, the studied topology is characterized by reduced cost and size due to the elimination of the injection transformer. The PUC7 inverter is controlled using a multi-objective (filtering current, compensating voltage, and PUC capacitor voltage controls) Model Predictive Control (MPC) strategy. Simulation and implementation tests are carried out to demonstrate the high performance of the proposed DVR at steady-state and during transient conditions, while keeping the load voltage unaffected by the disturbances in the grid voltage.

Suggested Citation

  • Mohamed Trabelsi & Hasan Komurcugil & Sertac Bayhan & Haitham Abu-Rub, 2023. "An Effective Transformerless PUC7-Based Dynamic Voltage Restorer Using Model Predictive Control," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3041-:d:1061021
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3041/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3041/
    Download Restriction: no
    ---><---

    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:4:p:3041-:d:1061021. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.