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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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In northern Europe, wind energy has become a dominate 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, which cannot 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 one week. Two different approaches of considering uncertain wind generation are analyzed and compared to a deterministic approach. The results reveal that the flexibility of generation dispatch is increased either by using more flexible generation technologies or by operating rather inflexible technologies under part-load conditions.
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,而风力发电的预测并不能完全消除这些不确定性。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。该模型适用于德国电力系统,为期一周。分析了两种考虑不确定风力产生的不同方法,并将其与确定性方法进行了比较。结果表明,通过使用更灵活的发电技术或通过在部分负荷条件下运行相当不灵活的技术,可以提高发电调度的灵活性。

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