Wind power merit-order and feed-in-tariffs effect: A variability analysis of the Spanish electricity market

  1. Azofra, D. 1
  2. Jiménez, E. 1
  3. Martínez, E. 1
  4. Blanco, J. 1
  5. Saenz-Díez, J.C. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
Energy Conversion and Management

ISSN: 0196-8904

Año de publicación: 2014

Volumen: 83

Páginas: 19-27

Tipo: Artículo

DOI: 10.1016/J.ENCONMAN.2014.03.057 SCOPUS: 2-s2.0-84898001780 WoS: WOS:000336698600003 GOOGLE SCHOLAR

Otras publicaciones en: Energy Conversion and Management

Repositorio institucional: lock_openAcceso abierto Editor

Resumen

The incipient large-scale energy-storage technologies are not sufficiently developed yet, which means that the wind power production depends on the wind speed at every moment. This, along with the fact that the wind resource is not constant over time, makes wind power production quite variable. Therefore, an artificial intelligence-based technique (M5P algorithm) is applied to empirical hourly data to determine the influence of wind power technology on the spot market for different levels of wind resource in 2012. It concludes that wind power depressed the spot prices between 7.42 and 10.94 €/MW h for a wind power production of 90% and 110% of the real one, respectively. Furthermore, taking into account the important presence of wind power in the Spanish generation mix, the above range has been extended up to 0% in order to determine the worst and best level of wind power production for the Spanish electrical system (from an economical point of view). To do so, both feed-in-tariffs and wind power impact on spot market (merit order effect) have been accounted in accordance with the different levels of wind power production. Since empirical data from 2012 have been used to conduct the research, the results presented in this paper may provide policy makers with a worst and best-case scenario to discuss about the convenience of the last cutting expenses over wind power technology in Spain. © 2014 Elsevier Ltd. All rights reserved.