IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i19p4778-d1484820.html
   My bibliography  Save this article

Impact of Phase Angle Jump on a Doubly Fed Induction Generator under Low-Voltage Ride-Through Based on Transfer Function Decomposition

Author

Listed:
  • Peiru Feng

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230009, China)

  • Jiayin Xu

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230009, China)

  • Zhuang Wang

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Shenghu Li

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China)

  • Yuming Shen

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230009, China)

  • Xu Gui

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230009, China)

Abstract

During the fault period, a phase angle jump may occur at the stator or the point of common coupling, which will deteriorate the low-voltage ride-through (LVRT) characteristics of a doubly fed induction generator (DFIG). The existing LVRT studies focus on the impact of a voltage drop on DFIGs but often ignore that of a phase angle jump. The time-domain simulation is accurate in describing the response of a DFIG during the LVRT process, but it is time-consuming for a DFIG with the full-order model. In this paper, by using the voltage magnitude and phase angle of the stator or the point of common coupling as the inputs, and the state variables as the outputs, the transfer function of a DFIG is derived to analyze its response and find the LVRT measures against the voltage drop and, especially, the phase angle jump. Firstly, the differential-algebraic equations of the DFIG are linearized to propose their transfer function model. Secondly, considering its high-order characteristic, a model reduction method for the transfer function of the DFIG using the Schur decomposition is proposed, and the analytical expression of the output variables of the DFIG with the phase angle jump is derived by the inverse Laplace transformation to judge the necessity of the LVRT measures. Finally, the simulation results of the DFIG are provided to verify the accuracy of the transfer function model and its reduced-order form and validate the feasibility of the LVRT against the phase angle jump with the proposed models.

Suggested Citation

  • Peiru Feng & Jiayin Xu & Zhuang Wang & Shenghu Li & Yuming Shen & Xu Gui, 2024. "Impact of Phase Angle Jump on a Doubly Fed Induction Generator under Low-Voltage Ride-Through Based on Transfer Function Decomposition," Energies, MDPI, vol. 17(19), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4778-:d:1484820
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/19/4778/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/19/4778/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kumeshan Reddy & Akshay Kumar Saha, 2022. "A Heuristic Approach to Optimal Crowbar Setting and Low Voltage Ride through of a Doubly Fed Induction Generator," Energies, MDPI, vol. 15(24), pages 1-36, December.
    2. Li, Shenghu, 2017. "Low-frequency oscillations of wind power systems caused by doubly-fed induction generators," Renewable Energy, Elsevier, vol. 104(C), pages 129-138.
    3. Ning Zhou & Huan Ma & Junchao Chen & Qiao Fang & Zhe Jiang & Changgang Li, 2023. "Equivalent Modeling of LVRT Characteristics for Centralized DFIG Wind Farms Based on PSO and DBSCAN," Energies, MDPI, vol. 16(6), pages 1-21, March.
    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. Rui Zhang & Hao Zhang & Jianqiao Ye & Jiaqing Wang & Qing Liu & Shenghu Li, 2023. "Eigen-Sensitivity-Based Sliding Mode Control for LFO Damping in DFIG-Integrated Power Systems," Energies, MDPI, vol. 16(10), pages 1-18, May.
    2. Chro Hama Radha, 2023. "Retrofitting for Improving Indoor Air Quality and Energy Efficiency in the Hospital Building," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    3. Kai-Hung Lu & Qianlin Rao, 2023. "Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    4. Zhang, Guozhou & Hu, Weihao & Cao, Di & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2021. "A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration," Renewable Energy, Elsevier, vol. 178(C), pages 363-376.
    5. Mengjun Liao & Lin Zhu & Yonghao Hu & Yang Liu & Yue Wu & Leke Chen, 2023. "Dynamic Equivalent Modeling of a Large Renewable Power Plant Using a Data-Driven Degree of Similarity Method," Energies, MDPI, vol. 16(19), pages 1-20, October.
    6. Zhang, Jingjing & Mahmud, Apel & Govaerts, Willy & Chen, Diyi & Xu, Beibei & Xiong, Hualin, 2020. "Sensitivity analysis and low frequency oscillations for bifurcation scenarios in a hydraulic generating system," Renewable Energy, Elsevier, vol. 162(C), pages 334-344.

    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:19:p:4778-:d:1484820. 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.