Clustering-interpolation Method and Its Application to Wind Turbine Generator Curve

Authors

  • Hejun Yang Chongqing University
  • Bo Hu Chongqing University
  • Lei Yin Chongqing University
  • Ya Chen Chongqing University
  • Qinglong Liao Chongqing University

DOI:

https://doi.org/10.5755/j01.eee.20.8.5195

Keywords:

Wind turbine power curve, bisecting k-means clustering, interpolation, wind farm, reliability analysis

Abstract

The real-time operating wind turbine power curve (WPC) of a wind turbine generator (WTG) is not completely identical to a WPC provided by the manufacturer because of various factors. In order to obtain an accurate WPC model that can consider various factors, this paper improves a bisecting k-means clustering algorithm. The improved clustering algorithm is used for partitioning the measured data into a certain number of groups, which can be expressed in their centroids. The interpolation method based on the polynomial is carried out for modelling a WPC of WTG. The modelled WPC is applied to the reliability analysis of the generating systems with a wind farm. The results show that the accuracy of the linear interpolation is higher than that of quadratic interpolation and cubic spline interpolation when there are a relatively large number of clusters.

DOI: http://dx.doi.org/10.5755/j01.eee.20.8.5195

Author Biographies

  • Hejun Yang, Chongqing University

    Pursuing Ph.D. degree in School of Electrical Engineering at Chongqing University. Research interests include power system planning and reliability evaluation.

  • Bo Hu, Chongqing University

    Associate professor in School of Electrical Engineering at Chongqing University. Research interests include power system reliability, parallel computing techniques in power systems.

  • Lei Yin, Chongqing University
    Research interests include power system planning and reliability evaluation.
  • Ya Chen, Chongqing University
    Research interests include power system planning and reliability evaluation.
  • Qinglong Liao, Chongqing University
    Research interests include power system planning and reliability evaluation.

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Published

2014-10-03

Issue

Vol. 20 No. 8 (2014)

Section

ELECTRICAL ENGINEERING

License

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By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.

How to Cite

Clustering-interpolation Method and Its Application to Wind Turbine Generator Curve. (2014). Elektronika Ir Elektrotechnika, 20(8), 13-19. https://doi.org/10.5755/j01.eee.20.8.5195