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

How to Cite

Yang, H., Hu, B., Yin, L., Chen, Y., & Liao, Q. (2014). Clustering-interpolation Method and Its Application to Wind Turbine Generator Curve. Elektronika Ir Elektrotechnika, 20(8), 13-19. https://doi.org/10.5755/j01.eee.20.8.5195

Issue

Vol. 20 No. 8 (2014)

Section

ELECTRICAL ENGINEERING

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