• DocumentCode
    676599
  • Title

    Integrated control strategy for DFIG wind turbine power regulation

  • Author

    Lei, T. ; Zhang, Haijun ; Barnes, M. ; Marjanovic, Ognjen

  • Author_Institution
    Power Conversion Group, Univ. of Manchester, Manchester, UK
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The conventional control method used for wind turbine, PI control, is still the most common method adopted by industry. This requires several cascaded control loops decoupled and tuned carefully in order to make the control system stable and independent to each other. This may restrict the bandwidth of each controller. Using an advanced control strategy as an alternative has been studied for years. In this field, sliding mode control attracts high attention due to its advantages of fast convergence and robustness to the system´s uncertainties. This paper integrates a sliding mode control method together with PI control on a doubly-fed induction generator wind turbine system, which has been developed in PSCAD/EMTDC. Equipped with a pitch controller, this model can achieve both targets of power maximization at low speed and power limitation at higher speeds. The proposed strategy improves the system response with little effort of increasing the structure complexity.
  • Keywords
    PI control; asynchronous generators; cascade control; machine control; power generation control; variable structure systems; wind power plants; wind turbines; DFIG wind turbine power regulation; PI control; PSCAD-EMTDC; cascaded control loops; doubly-fed induction generator wind turbine system; integrated control strategy; pitch controller; power maximization; sliding mode control method; structure complexity; system response; system uncertainty; DFIG; Power maximization; Sliding Mode Control; Wind Turbine Modelling;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1811
  • Filename
    6718722