Model Predictive Control of DFIG-Based Wind Turbine

Ehsan Gatavi, Amir Shirdel

    Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

    4 Citeringar (Scopus)


    This paper presents a centralized multivariable control strategy for the control of the DFIG wind turbine. Model of one-mass wind turbine with DFIG is represented by a third-order model. Model predictive control is applied in order to compensate inaccuracies and measurement noise. The optimization problem is recast as a Quadratic Program (QP) which is highly robust and efficient. In order to bring the problematic voltages as closely as possible to the desired values, multi-step optimization is introduced. The effectiveness of the proposed algorithm is demonstrated for a variable speed wind turbine.
    Titel på värdpublikationASME 2014 Dynamic Systems and Control Conference
    RedaktörerDynamic Systems, Control Division
    FörlagAmerican Society of Mechanical Engineers, ASME
    ISBN (tryckt)978-0-7918-4620-9
    StatusPublicerad - 2014
    MoE-publikationstypA4 Artikel i en konferenspublikation
    Evenemangconference; 2014-10-22; 2014-10-24 - San Antonio, Texas, USA
    Varaktighet: 22 okt. 201424 okt. 2014


    Konferensconference; 2014-10-22; 2014-10-24


    • DFIG-Based Wind Turbine
    • Model predictive control
    • Multistep optimization

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