Detecting and characterising ramp events in wind power time series

Gallego Castillo, Cristobal José; Cuerva Tejero, Álvaro y 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.

Descripción

Título: Detecting and characterising ramp events in wind power time series
Autor/es:
  • Gallego Castillo, Cristobal José
  • Cuerva Tejero, Álvaro
  • Costa, Alexandre
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Physics: Conference Series
Fecha: 2014
Volumen: 555
Materias:
Palabras Clave Informales: Environmental and Earth science, statistical physics and nonlinear systems
Escuela: E.T.S.I. Aeronáuticos (UPM) [antigua denominación]
Departamento: Aeronaves y Vehículos Espaciales
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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

Más información

ID de Registro: 35685
Identificador DC: http://oa.upm.es/35685/
Identificador OAI: oai:oa.upm.es:35685
Identificador DOI: 10.1088/1742-6596/555/1/012040
URL Oficial: http://iopscience.iop.org/1742-6596/555/1/012040
Depositado por: Memoria Investigacion
Depositado el: 05 Ago 2015 10:45
Ultima Modificación: 05 Ago 2015 10:45
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