IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p689-d1027660.html
   My bibliography  Save this article

Transient Stability Improvement of Large-Scale Photovoltaic Grid Using a Flywheel as a Synchronous Machine

Author

Listed:
  • Masilu Marupi

    (School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia)

  • Munira Batool

    (School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia)

  • Morteza Alizadeh

    (School of Electrical Engineering, Engineering Institute of Technology, Perth 6005, Australia)

  • Noor Zanib

    (Department of Electrical Engineering, University of Engineering and Technology, Taxila 47050, Pakistan)

Abstract

The global climate protection policy aimed at achieving a zero greenhouse gas emissions target has led to the fast incorporation of large-scale photovoltaics into the power network. The conventional AC grid was not modeled to be incorporated with large-scale non-synchronous inverter-based energy resources (IBR). Incorporating inertia-free IBR into the grid leads to technical issues such as the degradation of system strength and inertia, therefore affecting the safety and reliability of the electrical power system. This research introduced a new solution to incorporate a flywheel in the rotor of a synchronous machine to improve the dynamic inertia control during a system disruption and to maintain the constancy of the system. The objective of this work is to enhance large-scale photovoltaic systems in such a way that they can avoid failures during a fault. A model of transient constancy with two synchronous generators and a LSPV is established in PowerWorld modeling software. A line-to-ground and three-phase fault are simulated in a system with up to 50% IBR penetration. The outcomes showed that the power network was able to ride through faults (RTFs) and that the stability of frequency and voltage are enhanced because of a flywheel that improved grid inertia and strength.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:689-:d:1027660
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/689/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/2/689/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mostafa Abdollahi & Jose Ignacio Candela & Andres Tarraso & Mohamed Atef Elsaharty & Elyas Rakhshani, 2021. "Electromechanical Design of Synchronous Power Controller in Grid Integration of Renewable Power Converters to Support Dynamic Stability," Energies, MDPI, vol. 14(8), pages 1-31, April.
    2. 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. 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.
    4. 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.
    5. 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.

    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:16:y:2023:i:2:p:689-:d:1027660. 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.