Detecting and characterising ramp events in wind power time series

Gallego Castillo, Cristobal José and Cuerva Tejero, Álvaro and Costa, Alexandre (2014). Detecting and characterising ramp events in wind power time series. "Journal of Physics: Conference Series", v. 555 (n. 012040); pp.. ISSN 1742-6588. https://doi.org/10.1088/1742-6596/555/1/012040.

Description

Title: Detecting and characterising ramp events in wind power time series
Author/s:
  • Gallego Castillo, Cristobal José
  • Cuerva Tejero, Álvaro
  • Costa, Alexandre
Item Type: Article
Título de Revista/Publicación: Journal of Physics: Conference Series
Date: 2014
ISSN: 1742-6588
Volume: 555
Subjects:
Freetext Keywords: Environmental and Earth science, statistical physics and nonlinear systems
Faculty: E.T.S.I. Aeronáuticos (UPM)
Department: Aeronaves y Vehículos Espaciales
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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

More information

Item ID: 35685
DC Identifier: http://oa.upm.es/35685/
OAI Identifier: oai:oa.upm.es:35685
DOI: 10.1088/1742-6596/555/1/012040
Official URL: http://iopscience.iop.org/1742-6596/555/1/012040
Deposited by: Memoria Investigacion
Deposited on: 05 Aug 2015 10:45
Last Modified: 05 Aug 2015 10:45
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