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

    Access Status
    Fulltext not available
    Authors
    Panahi, Delshad
    Deilami, Sara
    Masoum, Mohammad Sherkat
    Date
    2016
    Type
    Conference Paper
    
    Metadata
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    Citation
    Panahi, D. and Deilami, S. and Masoum, M.S. 2016. Evaluation of parametric and non-parametric methods for power curve modelling of wind turbines. In 9th International Conference on Electrical and Electronics Engineering (ELECO 2015), 26-28 Nov. 2015: IEEE.
    Source Title
    ELECO 2015 - 9th International Conference on Electrical and Electronics Engineering
    DOI
    10.1109/ELECO.2015.7394497
    ISBN
    9786050107371
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/50611
    Collection
    • Curtin Research Publications
    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. © 2015 Chamber of Electrical Engineers of Turkey.

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