IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v158y2019icp235-247.html
   My bibliography  Save this article

Structural optimization to maximize the flux control range of a double excitation synchronous machine

Author

Listed:
  • Hoang, Trung-Kien
  • Vido, Lionel
  • Gillon, Frederic
  • Gabsi, Mohamed

Abstract

This paper deals with a structural optimization to maximize the no-load flux control capability of a double excitation synchronous machine (DESM). The air-gap flux in this machine type can be regulated by controlling the field currents. In this paper, this curve in the no-load condition is referred to as the flux control range (FCR). Maximizing the gap between the minimum-flux and maximizing the maximum-flux points of this curve is targeted to improve the controlling effectiveness of the field windings, and reduce field winding’s copper losses. This gap is affected by two factors: the magnetic saturation and thermal limits of the machine. Thermal analyses are rarely focused for the DESM type in the literature. The contribution of this paper is to maximize the FCR gap taking into account the thermal limitation. In addition, a general guide for the DESM design will be also discussed.

Suggested Citation

  • Hoang, Trung-Kien & Vido, Lionel & Gillon, Frederic & Gabsi, Mohamed, 2019. "Structural optimization to maximize the flux control range of a double excitation synchronous machine," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 235-247.
    • Handle: RePEc:eee:matcom:v:158:y:2019:i:c:p:235-247
    DOI: 10.1016/j.matcom.2018.08.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475418302519
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2018.08.013?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. Nerg, Janne & Ruuskanen, Vesa, 2013. "Lumped-parameter-based thermal analysis of a doubly radial forced-air-cooled direct-driven permanent magnet wind generator," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 218-229.
    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. Gustav Mörée & Mats Leijon, 2022. "Overview of Hybrid Excitation in Electrical Machines," Energies, MDPI, vol. 15(19), pages 1-38, October.
    2. Marcin Wardach & Ryszard Palka & Piotr Paplicki & Pawel Prajzendanc & Tomasz Zarebski, 2020. "Modern Hybrid Excited Electric Machines," Energies, MDPI, vol. 13(22), pages 1-21, November.

    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. Ouagued, Sofiane & Amara, Yacine & Barakat, Georges, 2016. "Comparison of hybrid analytical modelling and reluctance network modelling for pre-design purposes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 130(C), pages 3-21.
    2. Ping Jiang & Tianyi Zhang & Jinpeng Geng & Peiguang Wang & Lei Fu, 2023. "An MPPT Strategy for Wind Turbines Combining Feedback Linearization and Model Predictive Control," Energies, MDPI, vol. 16(10), pages 1-16, May.
    3. Payam Shams Ghahfarokhi & Andrejs Podgornovs & Ants Kallaste & Antonio J. Marques Cardoso & Anouar Belahcen & Toomas Vaimann & Oleg Kudrjavtsev & Bilal Asad & Muhammad Naveed Iqbal, 2022. "Steady-State Thermal Modeling of Salient Pole Synchronous Generator," Energies, MDPI, vol. 15(24), pages 1-15, December.
    4. Petrica Taras & Reza Nilifard & Zi-Qiang Zhu & Ziad Azar, 2022. "Cooling Techniques in Direct-Drive Generators for Wind Power Application," Energies, MDPI, vol. 15(16), pages 1-29, August.

    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:matcom:v:158:y:2019:i:c:p:235-247. 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/mathematics-and-computers-in-simulation/ .

    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.