IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i23p8048-d693037.html
   My bibliography  Save this article

A Combined RMS Simulation Model for DFIG-Based and FSC-Based Wind Turbines and Its Initialization

Author

Listed:
  • Farshid Goudarzi

    (Institute of Electric Power Systems, Electric Power Engineering Section, Leibniz Universität Hannover, 30167 Hanover, Germany)

  • Lutz Hofmann

    (Institute of Electric Power Systems, Electric Power Engineering Section, Leibniz Universität Hannover, 30167 Hanover, Germany)

Abstract

Reconstructable dynamic simulation models of modern variable-speed wind turbines (WTs), which are integrable into any simulation software, are crucial to the scientists investigating the contribution of WTs to counteracting the current power system stability issues. The structural similarity between a doubly fed induction-generator-based (DFIG-based) WT model and a full-scale-convertor-based (FSC-based) WT model using induction generator offers the possibility of integrating them into a combined modular model with little effort and the same used parameter set. This article presents a combined root mean square (RMS) WT model, which contains a DFIG-based WT and a FSC-based WT using induction generator. The model is designed based on fundamental machine and converter equations and can be applied for classical network stability analyses. Furthermore, analogous well-performing initialization procedures for both DFIG-based and FSC-based WT models are also introduced. As an example, to demonstrate the performance of the WT model in frequency stability studies, the model is extended with a droop-based fast frequency response (FFR) controller and is implemented in a MATLAB-based RMS simulation tool. The results of the case studies confirmed a solid functionality of initialization procedures. Furthermore, they illustrate feasible and comparable general behavior of both WT models as well as their plausible responses in the event of a frequency drop in a 220 kV test system.

Suggested Citation

  • Farshid Goudarzi & Lutz Hofmann, 2021. "A Combined RMS Simulation Model for DFIG-Based and FSC-Based Wind Turbines and Its Initialization," Energies, MDPI, vol. 14(23), pages 1-29, December.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:8048-:d:693037
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/23/8048/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/23/8048/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Caliao, Nolan D., 2011. "Dynamic modelling and control of fully rated converter wind turbines," Renewable Energy, Elsevier, vol. 36(8), pages 2287-2297.
    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. Bharti, Om Prakash & Saket, R.K. & Nagar, S.K., 2017. "Controller design for doubly fed induction generator using particle swarm optimization technique," Renewable Energy, Elsevier, vol. 114(PB), pages 1394-1406.
    2. Ferahtia, Seydali & Houari, Azeddine & Cioara, Tudor & Bouznit, Mohammed & Rezk, Hegazy & Djerioui, Ali, 2024. "Recent advances on energy management and control of direct current microgrid for smart cities and industry: A Survey," Applied Energy, Elsevier, vol. 368(C).
    3. Madariaga, A. & de Alegría, I. Martínez & Martín, J.L. & Eguía, P. & Ceballos, S., 2012. "Current facts about offshore wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3105-3116.
    4. Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
    5. Alharbi, Abdullah G. & Olabi, A.G. & Rezk, Hegazy & Fathy, Ahmed & Abdelkareem, Mohammad Ali, 2024. "Optimized energy management and control strategy of photovoltaic/PEM fuel cell/batteries/supercapacitors DC microgrid system," Energy, Elsevier, vol. 290(C).
    6. Madariaga, A. & Martín, J.L. & Zamora, I. & Martínez de Alegría, I. & Ceballos, S., 2013. "Technological trends in electric topologies for offshore wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 32-44.
    7. Abuaisha, Tareq Saber, 2014. "General study of the control principles and dynamic fault behaviour of variable-speed wind turbine and wind farm generic models," Renewable Energy, Elsevier, vol. 68(C), pages 245-254.

    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:14:y:2021:i:23:p:8048-:d:693037. 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.