The effect of intermittent renewables on the electricity price variance
The dominating view in the literature is that renewable electricity production increases the price variance on spot markets for electricity. In this paper, we critically review this hypothesis. Using a static market model, we identify the variance of the infeed from intermittent electricity sources (IES) and the shape of the industry supply curve as two pivotal factors influencing the electricity price variance. The model predicts that the overall effect of IES infeed depends on the produced amount: while small to moderate quantities of IES tend to decrease the price variance, large quantities have the opposite effect. In the second part of the paper, we test these predictions using data from Germany, where investments in IES have been massive in the recent years. The results of this econometric analysis largely conform to the predictions from the theoretical model. Our findings suggest that subsidy schemes for IES capacities should be complemented by policy measures supporting variance absorbing technologies such as smart-grids, energy storage, or grid interconnections to ensure the build-up of sufficient capacities in time.
KeywordsElectricity spot markets Photovoltaics Wind power EPEX Merit order
We want to express our thanks to Klaus Gugler, Felix Höffler, Franz Wirl, and the participants of the Mannheim Energy Conference 2013 for stimulating discussions and valuable inputs on a draft version of this paper. Additionally, the paper greatly benefited from the comments and suggestions of two anonymous referees. David Hirschmann was partially supported by the WWTF (Project Number: MA09-019).
- Bundesnetzagentur (2012) Report on Energy Supplies in Winter 2011/12. Tech. repGoogle Scholar
- Crampton P, Ockenfels A, Stoft S (2013) Capacity market fundamentals. Econ Energy Enviro Policy 2(2):27–46Google Scholar
- EEG (2014) Renewable Energy Sources Act (EEG). Online http://www.erneuerbare-energien.de
- EIA (2014) US Energy Information Administration. Online. http://www.eia.gov
- EPEX (2014) European power exchange. Online. http://www.epexspot.com
- Gurland J (1967) An inequality satisfied by the expectation of the reciprocal of a random variable. Am Stat 21:24–25Google Scholar
- Ketterer JC (2012) The impact of wind power generation on the electricity price in Germany. Ifo working paper series 143, Ifo Institute for Economic Research at the University of MunichGoogle Scholar
- Mugele C, Rachev ST, Trück S (2005) Stable modeling of different european power markets. Invest Manag Financ Innov 3:65–85Google Scholar
- Paraschiv F, Erni D, Pietsch R (2014) The impact of renewable energies on eex day-ahead electricity prices. Energy Policy (Article in Press)Google Scholar
- R Core Team (2013) R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria, URL http://www.R-project.org/
- See CT, Chen J (2008) Inequalities on the variances of convex functions of random variables. J Inequal Pure Appl Math 9: Article 80Google Scholar