• DocumentCode
    2635337
  • Title

    Comparison of fixed speed wind turbines models: A case study

  • Author

    Bustos, Gonzalo ; Vargas, Luis S. ; Milla, Freddy ; Saez, Doris ; Zareipour, Hamid ; Nunez, A.

  • Author_Institution
    Electr. Eng. Dept., Univ. de Chile, Santiago, Chile
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    961
  • Lastpage
    966
  • Abstract
    This paper presents a model comparison of a fixed speed wind turbine (FSWT) operating on a real wind farm. By relying on real data obtained from a wind farm operating in the Chilean Interconnected System, three different models are identified and analyzed. First, a phenomenological model based on physical principles governing the production of electricity from wind power is considered. This model is fine-tuned in accordance with practical considerations, such as wind correction factors. Then, a linear model and a Takagi & Sugeno (T&S) fuzzy model are identified. From the experimental results, the linear model is the simplest one, but also the one that presents the worst performance indexes. The best prediction capability is obtained with the T&S model; however, in terms of interpretability, the phenomenological model outperforms the other two black-box models.
  • Keywords
    fuzzy set theory; power system interconnection; wind turbines; Chilean interconnected system; FSWT; T&S model; Takagi & Sugeno fuzzy model; black-box model; electricity production; fixed speed wind turbine; linear model; phenomenological model; physical principles; wind correction factors; wind farm; Switches; Dynamic Simulation; Fixed Speed Wind Turbine; Fuzzy Modeling; Wind Turbine Model Validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388937
  • Filename
    6388937