IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i1p234-d1311733.html
   My bibliography  Save this article

Influence of Wind-Turbine-Generator Power Control on the Performance of a Virtual Synchronous Machine

Author

Listed:
  • Dai Orihara

    (National Institute of Advanced Industrial Science and Technology, AIST, 2-2-9, Machiikedai, Koriyama 963-0534, Japan)

  • Hisao Taoka

    (National Institute of Advanced Industrial Science and Technology, AIST, 2-2-9, Machiikedai, Koriyama 963-0534, Japan)

  • Kenji Otani

    (National Institute of Advanced Industrial Science and Technology, AIST, 2-2-9, Machiikedai, Koriyama 963-0534, Japan)

Abstract

Implementation of renewable energy sources (RESs) in power systems can reduce the dependence on fossil-fuel-based thermal power generation systems. At the same time, however, the system inertia decreases as synchronous generators decrease; this is crucial for maintaining the stability of the power system. Virtual inertia control (VIC) can regulate the output of an inverter-based resource (IBR) by increasing the inertia. For a wind turbine generator (WTG), output control factors such as pitch angle control and maximum power point tracking (MPPT) significantly affect the performance of the VIC. This paper theoretically clarifies that the pitch angle control contributes to improvements in the performance of the VIC and helps avoid a loss of operation of the WTG in frequency drop events by analyzing the movement of the operational point of the WTG based on the physical characteristic of the WTG and control characteristics of the pitch angle control and MPPT; an electromagnetic transient (EMT) simulation, performed to verify the analysis, is also presented.

Suggested Citation

  • Dai Orihara & Hisao Taoka & Kenji Otani, 2024. "Influence of Wind-Turbine-Generator Power Control on the Performance of a Virtual Synchronous Machine," Energies, MDPI, vol. 17(1), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:1:p:234-:d:1311733
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/1/234/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/1/234/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dai Orihara & Hiroshi Kikusato & Jun Hashimoto & Kenji Otani & Takahiro Takamatsu & Takashi Oozeki & Hisao Taoka & Takahiro Matsuura & Satoshi Miyazaki & Hiromu Hamada & Kenjiro Mori, 2021. "Contribution of Voltage Support Function to Virtual Inertia Control Performance of Inverter-Based Resource in Frequency Stability," Energies, MDPI, vol. 14(14), pages 1-16, July.
    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. Reza Saeed Kandezy & John Jiang & Di Wu, 2024. "On SINDy Approach to Measure-Based Detection of Nonlinear Energy Flows in Power Grids with High Penetration Inverter-Based Renewables," Energies, MDPI, vol. 17(3), pages 1-18, February.
    2. Gustavo Adolfo Gómez-Ramírez & Carlos Meza & Gonzalo Mora-Jiménez & José Rodrigo Rojas Morales & Luis García-Santander, 2023. "The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition," Energies, MDPI, vol. 16(11), pages 1-20, May.
    3. Masilu Marupi & Munira Batool & Morteza Alizadeh & Noor Zanib, 2023. "Transient Stability Improvement of Large-Scale Photovoltaic Grid Using a Flywheel as a Synchronous Machine," Energies, MDPI, vol. 16(2), pages 1-18, January.
    4. Md Asaduzzaman Shobug & Nafis Ahmed Chowdhury & Md Alamgir Hossain & Mohammad J. Sanjari & Junwei Lu & Fuwen Yang, 2024. "Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects," Energies, MDPI, vol. 17(11), pages 1-33, June.
    5. Asmaa Faragalla & Omar Abdel-Rahim & Mohamed Orabi & Esam H. Abdelhameed, 2022. "Enhanced Virtual Inertia Control for Microgrids with High-Penetration Renewables Based on Whale Optimization," Energies, MDPI, vol. 15(23), pages 1-18, December.

    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:1:p:234-:d:1311733. 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.