Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Detecting and characterising ramp events in wind power time series
Year:2012
Research Areas
  • Mechanical aeronautics and naval engineering
Information
Abstract
In order to implement accurate models for wind power ramp forecasting, ramps need to be previously characterised. This issue has been typically addressed by performing binary ramp/non-ramp classifications based on ad-hoc assessed thresholds. However, recent works question this approach. This paper presents the ramp function, an innovative wavelet-based tool which detects and characterises ramp events in wind power time series. The underlying idea is to assess a continuous index related to the ramp intensity at each time step, which is obtained by considering large power output gradients evaluated under different time scales (up to typical ramp durations). The ramp function overcomes some of the drawbacks shown by the aforementioned binary classification and permits forecasters to easily reveal specific features of the ramp behaviour observed at a wind farm. As an example, the daily profile of the ramp-up and ramp-down intensities are obtained for the case of a wind farm located in Spain.
International
Si
Congress
: The science of making torque from wind
960
Place
Oldenburg (Alemania)
Reviewers
Si
ISBN/ISSN
Start Date
09/10/2012
End Date
11/10/2012
From page
1
To page
7
Proceedings
Participants
  • Autor: Alvaro Cuerva Tejero (UPM)
  • Autor: Cristobal Jose Gallego Castillo (UPM)
  • Autor: Alexandre Costa
Research Group, Departaments and Institutes related
  • Creador: Departamento: Vehículos Aeroespaciales
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