Speaker
Fabian Mies
(Delft University of Technology)
Description
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. We suggest 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 we devise a multiscale segmentation scheme which is able to detect both small and persistent deviations as well as short-lived anomalies. The application to real generation data as well as a simulation study illustrate the benefits of the methodology.
| Classification | Both methodology and application |
|---|---|
| Keywords | change point, renewable energy, segmentation |
Primary authors
Fabian Mies
(Delft University of Technology)
Ms
Floor Jacobs
(Vandebron)
Mr
Niek van den Bos
(Vandebron)