A0516
Title: Monitoring the power curve of wind energy systems
Authors: Fabian Mies - Delft University of Technology (Netherlands) [presenting]
Abstract: The power curve of a wind turbine describes the generated power as a function of wind speed and typically exhibits an increasing, S-shaped profile. It is suggested to utilize this functional relation to monitor the wind energy systems for faults, sub-optimal controls, or unreported curtailment. The problem is formulated as a regression changepoint model with isotonic shape constraints on the model function, and a multiscale segmentation scheme is devised, which is able to detect both small and persistent deviations as well as short-lived anomalies. The application to real-world generation data, as well as a simulation study, illustrates the benefits of the methodology.
