IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4842-d854232.html
   My bibliography  Save this article

Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy

Author

Listed:
  • Fagen Yin

    (School of Information Engineering, Nanchang University, Nanchang 330031, China
    School of Physical Science and Engineering Technology, Yichun University, Yichun 336000, China)

  • Chun Wang

    (School of Information Engineering, Nanchang University, Nanchang 330031, China)

  • Weizhang Wang

    (State Grid Nanchang Power Supply Company, Nanchang 330096, China)

Abstract

Electric springs (ESs) are novel electric-power devices that alleviate power-quality problems such as voltage fluctuations induced by grid access to renewable energy resources. However, with the continuous increase of uncertain factors such as parameter perturbation and external disturbance, the environment becomes more complicated, so traditional linear controllers for ESs are finding it increasingly difficult to meet the control requirements due to narrow stability regions, low precision, and poor robustness. To overcome this problem, we propose herein a control method that combines adaptive control and sliding-mode control and apply it to ESs. First, an inexact model of the ES system was established and analyzed. Next, an ES control system was designed based on adaptive sliding-mode control, and then the asymptotic stability of the closed-loop system is proven. Finally, the proposed control system was verified through a MATLAB simulation. The results show that adaptive sliding-mode control not only ensures the voltage stability of critical loads in the microgrid but also resists the influence of parameter perturbation and external disturbances, leading to better steady-state and dynamic performance than a linear controller.

Suggested Citation

  • Fagen Yin & Chun Wang & Weizhang Wang, 2022. "Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy," Energies, MDPI, vol. 15(13), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4842-:d:854232
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4842/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4842/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mehmetcan Gursoy & Guangping Zhuo & Andy G. Lozowski & Xin Wang, 2021. "Photovoltaic Energy Conversion Systems with Sliding Mode Control," Energies, MDPI, vol. 14(19), pages 1-20, September.
    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. Katarzyna Adamiak & Andrzej Bartoszewicz, 2022. "Novel Power-Rate Reaching Law for Quasi-Sliding Mode Control," Energies, MDPI, vol. 15(15), pages 1-14, July.
    2. Jinn-Chang Wu & Hurng-Liahng Jou & Chung-Hsun Chang, 2023. "Power Conversion Interface for a Small-Capacity Photovoltaic Power Generation System," Energies, MDPI, vol. 16(3), pages 1-17, January.
    3. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    4. Carlos Andres Ramos-Paja & Oscar Danilo Montoya & Luis Fernando Grisales-Noreña, 2022. "Adaptive Sliding-Mode Controller for Flyback-Based PV Systems Featuring Constant Switching Frequency," Mathematics, MDPI, vol. 10(8), pages 1-27, April.
    5. Miguel Monsalve-Rueda & John E. Candelo-Becerra & Fredy E. Hoyos, 2024. "Second-Order Sliding-Mode Control Applied to Microgrids: DC & AC Buck Converters Powering Constant Power Loads," Energies, MDPI, vol. 17(11), pages 1-18, June.

    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:13:p:4842-:d:854232. 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.