• DocumentCode
    3738672
  • Title

    Evaluation of parametric and non-parametric methods for power curve modelling of wind turbines

  • Author

    Delshad Panahi;Sara Deilami;Mohammad A. S. Masoum

  • Author_Institution
    Department of Electrical and Computer Engineering, Curtin University, WA, Australia
  • fYear
    2015
  • Firstpage
    996
  • Lastpage
    1000
  • Abstract
    The growing applications of wind power systems and their essential roles in renewable energy production require development of accurate methods for their parameter identification such as the wind turbine power curves. This paper evaluates and compares the parametric and non-parametric approaches for power curve modelling of wind turbine which is a very complicated and nonlinear function of different mechanical, electrical and metrological input parameters. In fact achieving a complete model that can accurately describe the turbine output characteristic is very difficult. However, there are different modelling techniques that could lead to have a better estimation of turbine generation model. In this paper, four different algorithms for modelling the output power of wind turbines in form of two strategies using two case studies will be developed and the results of different models will be compared.
  • Keywords
    "Wind turbines","Data models","Wind speed","Power measurement","Neurons"
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering (ELECO), 2015 9th International Conference on
  • Type

    conf

  • DOI
    10.1109/ELECO.2015.7394497
  • Filename
    7394497