Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data.

Gallego Castillo, Cristóbal José; Cuerva Tejero, Alvaro; García Bustamante, Elena y Navarro Montesinos, Jorge (2015). Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data.. "IET Renewable Power Generation", v. 9 (n. 8); pp. 867-875. ISSN 1752-1416. https://doi.org/10.1049/iet-its.2015.0179.

Descripción

Título: Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data.
Autor/es:
  • Gallego Castillo, Cristóbal José
  • Cuerva Tejero, Alvaro
  • García Bustamante, Elena
  • Navarro Montesinos, Jorge
Tipo de Documento: Artículo
Título de Revista/Publicación: IET Renewable Power Generation
Fecha: Noviembre 2015
Volumen: 9
Materias:
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Aeronaves y Vehículos Espaciales
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Forecasting abrupt variations in wind power generation (the so-called ramps) helps achieve large scale wind power integration. One of the main issues to be confronted when addressing wind power ramp forecasting is the way in which relevant information is identified from large datasets to optimally feed forecasting models. To this end, an innovative methodology oriented to systematically relate multivariate datasets to ramp events is presented. The methodology comprises two stages: the identification of relevant features in the data and the assessment of the dependence between these features and ramp occurrence. As a test case, the proposed methodology was employed to explore the relationships between atmospheric dynamics at the global/synoptic scales and ramp events experienced in two wind farms located in Spain. The achieved results suggested different connection degrees between these atmospheric scales and ramp occurrence. For one of the wind farms, it was found that ramp events could be partly explained from regional circulations and zonal pressure gradients. To perform a comprehensive analysis of ramp underlying causes, the proposed methodology could be applied to datasets related to other stages of the wind-topower conversion chain.

Más información

ID de Registro: 40380
Identificador DC: http://oa.upm.es/40380/
Identificador OAI: oai:oa.upm.es:40380
Identificador DOI: 10.1049/iet-its.2015.0179
URL Oficial: http://www.ietdl.org
Depositado por: Memoria Investigacion
Depositado el: 29 Sep 2016 11:39
Ultima Modificación: 29 Sep 2016 11:39
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