IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i15p2861-d251509.html
   My bibliography  Save this article

Trends and Development of Sliding Mode Control Applications for Renewable Energy Systems

Author

Listed:
  • Yun Yang

    (Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China)

  • Siew Chong Tan

    (Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China)

Abstract

Based on the matured theoretical framework of sliding mode control for varied, nonlinear, and unpredictable systems, practical designs of sliding mode control have been developed to suit the purpose of controlling power converters under various operating conditions. These design guidelines are particularly valuable for emerging technologies with renewable energy sources. This paper presents a discussion on the recent development of sliding mode control applications for renewable energy systems, and further examines the current trends of achieving efficiency improvement of renewable energy systems and load protections against large overshoot/undershoot in transient states, by utilizing the fast-dynamic-tracking capability of the sliding mode control. Three comparative case studies between the sliding mode control and proportional-integral control involving, namely, a low-power wind energy conversion system, a series-series-compensated wireless power transfer system, and a multiple energy storage system in a direct current (DC) microgrid, are provided.

Suggested Citation

  • Yun Yang & Siew Chong Tan, 2019. "Trends and Development of Sliding Mode Control Applications for Renewable Energy Systems," Energies, MDPI, vol. 12(15), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2861-:d:251509
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/15/2861/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/15/2861/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Alfredo Alvarez-Diazcomas & Héctor López & Roberto V. Carrillo-Serrano & Juvenal Rodríguez-Reséndiz & Nimrod Vázquez & Gilberto Herrera-Ruiz, 2019. "A Novel Integrated Topology to Interface Electric Vehicles and Renewable Energies with the Grid," Energies, MDPI, vol. 12(21), pages 1-21, October.
    2. Pan, Lin & Wang, Xudong, 2020. "Variable pitch control on direct-driven PMSG for offshore wind turbine using Repetitive-TS fuzzy PID control," Renewable Energy, Elsevier, vol. 159(C), pages 221-237.

    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:12:y:2019:i:15:p:2861-:d:251509. 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.