The Impact of Renewable Energy Forecasts on Intraday Electricity Prices

被引:20
作者
Kulakov, Sergei [1 ,2 ]
Ziel, Florian [3 ]
机构
[1] Univ Dusiburg Essen, House Energy Markets & Finance, Environm Econ & Renewable Energies, Essen, Germany
[2] Univ Duisburg Essen, House Energy Markets, Univ Str 2, D-45141 Essen, Germany
[3] Univ Duisburg Essen, House Energy Markers & Finance, Essen, Germany
关键词
Energy economics; Energy forecasting; Energy Policy; Forecasting and Prediction Methods; Renewable Resources; WIND-POWER; SOLAR POWER; GENERATION; MARKET; CURTAILMENT; BENEFITS; SYSTEM; FLEXIBILITY; VARIABILITY; INTEGRATION;
D O I
10.5547/2160-5890.10.1.skul
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 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.
引用
收藏
页码:79 / 104
页数:26
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