IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v125y2018icp974-984.html
   My bibliography  Save this article

High efficiency control strategy in a wind energy conversion system with doubly fed induction generator

Author

Listed:
  • Karakasis, Nektarios E.
  • Mademlis, Christos A.

Abstract

This paper presents a high efficiency control strategy for a wind energy conversion system (WECS) with doubly fed induction generator (DFIG). The proposed control scheme provides power loss reduction for the DFIG and maximum power point tracking (MPPT) for the wind turbine. Therefore, increased electric energy production from the same wind energy potential can be attained. Moreover, the cut-in wind speed is reduced and thereby, extension of the exploitable wind speed region is accomplished. Τhe high efficiency in the DFIG is attained through the stator frequency and magnetic-flux weakening control, and the maximum harvesting in the turbine is accomplished by properly controlling the turbine speed. The proposed control system can be easily implemented, since the controller parameters are determined experimentally and thus, the knowledge of the wind system model is not required. Moreover, for the implementation of the proposed control scheme, a converter system of low power requirements is used, as holds in the conventional system, and thus, this advantage of the WECS with DFIG against other electrical generator types is still valid. The efficiency improvement of the proposed control scheme has been experimentally validated in a laboratory low power scaling emulation WECS with DFIG.

Suggested Citation

  • Karakasis, Nektarios E. & Mademlis, Christos A., 2018. "High efficiency control strategy in a wind energy conversion system with doubly fed induction generator," Renewable Energy, Elsevier, vol. 125(C), pages 974-984.
  • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:974-984
    DOI: 10.1016/j.renene.2018.03.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118303252
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2018.03.020?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gupta, Akhilesh Prakash & Mohapatra, A. & Singh, S.N., 2021. "Measurement based parameters estimation of large scale wind farm dynamic equivalent model," Renewable Energy, Elsevier, vol. 168(C), pages 1388-1398.
    2. Wang, Kunlin & Wang, Zhe & Sheng, Songwei & Zhang, Yaqun & Wang, Zhenpeng & Ye, Yin & Wang, Wensheng & Lin, Hongjun & Huang, Zhenxin, 2023. "A method for large-scale WEC connecting to island isolated microgrid based on multiple small power HPGSs," Renewable Energy, Elsevier, vol. 218(C).
    3. Agha Kashkooli, M.R. & Jovanović, Milutin G., 2021. "Sensorless adaptive control of brushless doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 177(C), pages 932-941.
    4. Qin Guo & Zhongkui Sun & Ying Zhang & Wei Xu, 2019. "Time-Delayed Feedback Control in the Multiple Attractors Wind-Induced Vibration Energy Harvesting System," Complexity, Hindawi, vol. 2019, pages 1-11, January.
    5. Chen, Jian & Yao, Wei & Zhang, Chuan-Ke & Ren, Yaxing & Jiang, Lin, 2019. "Design of robust MPPT controller for grid-connected PMSG-Based wind turbine via perturbation observation based nonlinear adaptive control," Renewable Energy, Elsevier, vol. 134(C), pages 478-495.
    6. Hongyan Dui & Xiaoqian Zheng & Jianjun Guo & Hui Xiao, 2022. "Importance measure-based resilience analysis of a wind power generation system," Journal of Risk and Reliability, , vol. 236(3), pages 395-405, June.

    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:renene:v:125:y:2018:i:c:p:974-984. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/renewable-energy .

    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.