IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v200y2022icp571-578.html
   My bibliography  Save this article

Group predictive voltage and frequency regulators for small hydro power plant in the context of low power quality

Author

Listed:
  • Bulatov, Yu N.
  • Kryukov, A.V.
  • Suslov, K.V.

Abstract

The study examines the influence of predictive voltage and frequency regulators of generators of a small hydropower plant (HPP) on the quality indices of electric power and those of the control process in the case of disturbances in the system. The study aimed to determine the performance of the group predictive generator control algorithms. The research has revealed that the use of a DC link and a small HPP with group predictive voltage and frequency controllers has a noticeable effect on the improvement of power quality: the voltage distortion factor decreases by an average of 1.4 times and the voltage unbalance factor is reduced by almost ten times. In all considered conditions, the use of group predictive controllers can significantly improve the quality of electricity and the quality of the voltage and frequency control: the voltage dip depth decreases by 1.7 times and the voltage un-balance factor decreases by almost 4 times when an additional load is connected; the voltage dip depth is reduced by 20%, the frequency overshoot value is reduced by a factor of 1.8, and the transient process time for the frequency under the short-term short-circuit conditions is reduced by a factor of 1.5.

Suggested Citation

  • Bulatov, Yu N. & Kryukov, A.V. & Suslov, K.V., 2022. "Group predictive voltage and frequency regulators for small hydro power plant in the context of low power quality," Renewable Energy, Elsevier, vol. 200(C), pages 571-578.
    • Handle: RePEc:eee:renene:v:200:y:2022:i:c:p:571-578
    DOI: 10.1016/j.renene.2022.10.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122015105
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.10.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Using Group Predictive Voltage and Frequency Regulators of Distributed Generation Plants in Cyber-Physical Power Supply Systems," Energies, MDPI, vol. 15(4), pages 1-20, February.
    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. Yin Chen & Zhenli Tang & Xiaofeng Weng & Min He & Guanghong Zhang & Ding Yuan & Tao Jin, 2024. "A Novel Approach for Evaluating Power Quality in Distributed Power Distribution Networks Using AHP and S-Transform," Energies, MDPI, vol. 17(2), pages 1-20, January.

    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. Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations," Energies, MDPI, vol. 15(21), pages 1-32, November.
    2. Andrey Kryukov & Konstantin Suslov & Pavel Ilyushin & Azat Akhmetshin, 2023. "Parameter Identification of Asynchronous Load Nodes," Energies, MDPI, vol. 16(4), pages 1-18, February.

    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:eee:renene:v:200:y:2022:i:c:p:571-578. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.