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Integrating intermittent renewable wind generation: A stochastic multi-market electricity model for the European electricity market

机译:整合间歇性可再生风力发电:欧洲电力市场的随机多市场电力模型

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摘要

In northern Europe wind energy has become a dominating renewable energy source due to natural conditions and national support schemes. However, the uncertainty about wind generation affects existing network infrastructure and power production planning of generators and cannot not be fully diminished by wind forecasts. In this paper we develop a stochastic electricity market model to analyze the impact of uncertain wind generation on the different electricity markets as well as network congestion management. Stochastic programming techniques are used to incorporate uncertain wind generation. The technical characteristics of transporting electrical energy as well as power plants are explicitly taken into account. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure reflecting the market regime of European markets. The model is applied to the German electricity system covering an exemplary week. Three different cases of considering uncertain wind generation are analyzed. The results reveal that the flexibility of the generation dispatch is increased either by using more flexible generation technologies or by flexibilizing the generation pattern of rather inflexible technologies.
机译:在北欧,由于自然条件和国家支持计划,风能已成为主要的可再生能源。但是,关于风力发电的不确定性会影响现有的网络基础设施和发电机的电力生产计划,并且不能通过风力预报完全消除。在本文中,我们建立了一个随机电力市场模型,以分析不确定的风力发电对不同电力市场以及网络拥堵管理的影响。随机编程技术用于合并不确定的风力发电。明确考虑了运输电能和发电厂的技术特征。通过反映欧洲市场市场制度的滚动计划程序,将电力市场的连续清理纳入其中。该模型应用于一个示例性星期的德国电力系统。分析了考虑风力不确定性的三种不同情况。结果表明,通过使用更灵活的发电技术或通过灵活化相当不灵活的技术的发电方式,可以提高发电调度的灵活性。

著录项

  • 作者

    Abrell Jan; Kunz Friedrich;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 eng
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