Abstract
This paper presents Wind Turbine Power Curve (WTPC) modeling based on hybrid fuzzy clustering algorithms and cubic spline. One of the advantages in using fuzzy clustering algorithms is their capability to deal with uncertainties inherent in WTPC data due to random nature of wind. The power curve data was partitioned with clustering algorithms and cubic spline was applied on the cluster centers to obtain a WTPC functional model. The methodology was applied to real data acquired from a small-scale wind turbine and computational results have demonstrated that obtained models provided accuracy reflecting properties of the power curve.
Full Text
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call