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首页> 外文期刊>Energy Conversion & Management >Wind power merit-order and feed-in-tariffs effect: A variability analysis of the Spanish electricity market
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Wind power merit-order and feed-in-tariffs effect: A variability analysis of the Spanish electricity market

机译：风力发电的功绩和上网电价效应：西班牙电力市场的可变性分析

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摘要

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 €/MWh 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.
机译：最初的大规模储能技术尚未得到充分发展，这意味着风力发电在任何时候都取决于风速。加上风资源在一段时间内不是恒定的这一事实，使得风能生产相当可变。因此，将基于人工智能的技术（M5P算法）应用于经验小时数据，以确定2012年不同水平的风能资源对风力发电技术对现货市场的影响。结论是，风力发电压低了现货价格在7.42之间和风能发电量分别为实际发电量的90％和110％的10.94欧元/兆瓦时。此外，考虑到风力发电在西班牙发电组合中的重要地位，上述范围已扩大到0％，以确定西班牙电力系统的最差和最佳风力发电水平（从经济角度考虑）看法）。为此，已经根据风电生产的不同水平考虑了上网电价和风电对现货市场的影响（功绩订单效应）。由于使用了2012年的经验数据进行了研究，因此本文中提出的结果可能为决策者提供最坏和最好的情况，以讨论西班牙最后一次削减风电技术费用的便利性。

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  • 来源
    《Energy Conversion & Management》 |2014年第7期|19-27|共9页
  • 作者

    D. Azofra; E. Jimenez; E. Martinez; J. Blanco; J.C. Saenz-Diez;

  • 作者单位

    Department of Mechanical Engineering, University of la Rioja, Edificio Departamental, C/Luis de Ulloa 20, 26004 Logrono, La Rioja, Spain;

    Department of Electrical Engineering, University of la Rioja, Edificio Departamental, C/Luis de Ulloa 20, 26004 Logrono, La Rioja, Spain;

    Department of Mechanical Engineering, University of la Rioja, Edificio Departamental, C/Luis de Ulloa 20, 26004 Logrono, La Rioja, Spain;

    Department of Mechanical Engineering, University of la Rioja, Edificio Departamental, C/Luis de Ulloa 20, 26004 Logrono, La Rioja, Spain;

    Department of Electrical Engineering, University of la Rioja, Edificio Departamental, C/Luis de Ulloa 20, 26004 Logrono, La Rioja, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind power; Merit order effect; Cost-benefit analysis; Artificial intelligence;

    机译：风力;功绩效果;成本效益分析;人工智能;

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