The Impact of Renewable Energy Forecasts on Intraday Electricity Prices

IF 1.8 4区 经济学 Q2 ECONOMICS Economics of Energy & Environmental Policy Pub Date : 2019-03-22 DOI:10.5547/2160-5890.10.1.skul
S. Kulakov, F. Ziel
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引用次数: 22

Abstract

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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可再生能源预测对当日电价的影响
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。
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来源期刊
CiteScore
4.00
自引率
5.30%
发文量
22
期刊最新文献
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