TY  - JOUR
AU  - Yang, Hejun
AU  - Hu, Bo
AU  - Yin, Lei
AU  - Chen, Ya
AU  - Liao, Qinglong
PY  - 2014/10/03
Y2  - 2025/01/02
TI  - Clustering-interpolation Method and Its Application to Wind Turbine Generator Curve
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 20
IS  - 8
SE  - 
DO  - 10.5755/j01.eee.20.8.5195
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/5195
SP  - 13-19
AB  - 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. &lt;p&gt;DOI: &lt;a href=&quot;http://dx.doi.org/10.5755/j01.eee.20.8.5195&quot;&gt;http://dx.doi.org/10.5755/j01.eee.20.8.5195&lt;/a&gt;&lt;/p&gt;
ER  -