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

Gallego Castillo, Cristóbal José and Cuerva Tejero, Alvaro and García Bustamante, Elena and 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-rpg.2014.0457.

Description

Title: Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data
Author/s:
  • Gallego Castillo, Cristóbal José
  • Cuerva Tejero, Alvaro
  • García Bustamante, Elena
  • Navarro Montesinos, Jorge
Item Type: Article
Título de Revista/Publicación: IET Renewable Power Generation
Date: November 2015
ISSN: 1752-1416
Volume: 9
Subjects:
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Aeronaves y Vehículos Espaciales
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 40380
DC Identifier: http://oa.upm.es/40380/
OAI Identifier: oai:oa.upm.es:40380
DOI: 10.1049/iet-rpg.2014.0457
Official URL: https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2014.0457
Deposited by: Memoria Investigacion
Deposited on: 29 Sep 2016 11:39
Last Modified: 04 Jun 2019 17:09
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