可再生能源预测对当日电价的影响

IF 1.8 4区 经济学 Q2 ECONOMICS
S. Kulakov, F. Ziel
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引用次数: 22

摘要

在本文中,我们研究了风能和太阳能预测误差对日内电价的影响。我们开发了一个新的计量经济模型,该模型基于日前批发拍卖曲线数据和风能和太阳能预测的误差。该模型改变日前供应曲线来计算日内价格。我们将我们的模型应用于德国EPEX SPOT SE数据。我们的模型优于线性和非线性基准。我们的研究使我们能够得出结论,可再生能源预测的错误对盘中价格产生非线性影响。我们证明,额外的风能和太阳能发电能力会导致日内价格波动的非线性变化。最后,我们评论了我们的研究结果对经济和政策的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Renewable Energy Forecasts on Intraday Electricity Prices
In this paper we study the impact of errors in wind and solar power forecasts on intraday electricity prices. We develop a novel econometric model which is based on day-ahead wholesale auction curves data and errors in wind and solar power forecasts. The model shifts day-ahead supply curves to calculate intraday prices. We apply our model to the German EPEX SPOT SE data. Our model outperforms both linear and non-linear benchmarks. Our study allows us to conclude that errors in renewable energy forecasts exert a non-linear impact on intraday prices. We demonstrate that additional wind and solar power capacities induce non-linear changes in the intraday price volatility. Finally, we comment on economical and policy implications of our findings.
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来源期刊
CiteScore
4.00
自引率
5.30%
发文量
22
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