Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach
By Katarzyna Maciejowska. Energy Economics, 2020
168 citations recorded by the source corpus.
The literature on renewable energy sources indicates that an increase of the intermittent wind and solar generation affects significantly the distribution of electricity prices. In this article, the influence of two types of renewable energy sources (wind and solar photo voltaic) on the level and variability of German electricity spot prices is analyzed. The quantile regression models are built to estimate the merit order effect for different quantiles of electricity prices. The results indicate that both types of renewable generations have a similar, negative impact on the price level, approximated by the price median. When the price volatility, measured by the inter-quantile range (IQR), is considered, the outcomes show that wind and solar influence prices differently. Conditional on the level of the total demand, the wind generation would either increase (when the demand is low) or decrease (when the demand is high) the IQR. Meanwhile, the increase of solar power stabilizes the price variance for moderate demand level. Thus, policy supporting the development and integration of RES should search for a balance between the wind and solar power.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/7448dd59abe7367a6d7d09fa3af8737ef533c3fd
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In Economics and Econometrics
- Grzegorz Marcjasz
- B. Schutter
- Jesus Lago
- Rafal Weron
- Florian Ziel
- Ladislav Kristoufek
- Jakub Nowotarski
- R. Steinert
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark (2020, background): “The increasing penetration of renewable energy sources in today’s power systems makes electricity generation more volatile and the resulting electricity prices harder to predict than ever before [1–4].”