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A combined modeling approach for wind power feed-in and electricity spot prices

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  • Keles, Dogan
  • Genoese, Massimo
  • Möst, Dominik
  • Ortlieb, Sebastian
  • Fichtner, Wolf

Abstract

Wind power generation and its impacts on electricity prices has strongly increased in the EU. Therefore, appropriate mark-to-market evaluation of new investments in wind power and energy storage plants should consider the fluctuant generation of wind power and uncertain electricity prices, which are affected by wind power feed-in (WPF). To gain the input data for WPF and electricity prices, simulation models, such as econometric models, can serve as a data basis.

Suggested Citation

  • Keles, Dogan & Genoese, Massimo & Möst, Dominik & Ortlieb, Sebastian & Fichtner, Wolf, 2013. "A combined modeling approach for wind power feed-in and electricity spot prices," Energy Policy, Elsevier, vol. 59(C), pages 213-225.
    • Handle: RePEc:eee:enepol:v:59:y:2013:i:c:p:213-225
    DOI: 10.1016/j.enpol.2013.03.028
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    1. Sáenz de Miera, Gonzalo & del Ri­o González, Pablo & Vizcaino, Ignacio, 2008. "Analysing the impact of renewable electricity support schemes on power prices: The case of wind electricity in Spain," Energy Policy, Elsevier, vol. 36(9), pages 3345-3359, September.
    2. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    3. Bode, Sven & Groscurth, Helmuth-Michael, 2006. "Zur Wirkung des EEG auf den "Strompreis"," HWWA Discussion Papers 348, Hamburg Institute of International Economics (HWWA).
    4. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2007. "The merit-order effect: a detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Working Papers "Sustainability and Innovation" S7/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    5. Gibson, Rajna & Schwartz, Eduardo S, 1990. "Stochastic Convenience Yield and the Pricing of Oil Contingent Claims," Journal of Finance, American Finance Association, vol. 45(3), pages 959-976, July.
    6. Möst, Dominik & Keles, Dogan, 2010. "A survey of stochastic modelling approaches for liberalised electricity markets," European Journal of Operational Research, Elsevier, vol. 207(2), pages 543-556, December.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Jónsson, Tryggvi & Pinson, Pierre & Madsen, Henrik, 2010. "On the market impact of wind energy forecasts," Energy Economics, Elsevier, vol. 32(2), pages 313-320, March.
    9. Keles, Dogan & Genoese, Massimo & Möst, Dominik & Fichtner, Wolf, 2012. "Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices," Energy Economics, Elsevier, vol. 34(4), pages 1012-1032.
    10. Safari, Bonfils, 2011. "Modeling wind speed and wind power distributions in Rwanda," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 925-935, February.
    11. Gökçek, Murat & Bayülken, Ahmet & Bekdemir, Şükrü, 2007. "Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey," Renewable Energy, Elsevier, vol. 32(10), pages 1739-1752.
    12. Lise, Wietze & Linderhof, Vincent & Kuik, Onno & Kemfert, Claudia & Ostling, Robert & Heinzow, Thomas, 2006. "A game theoretic model of the Northwestern European electricity market--market power and the environment," Energy Policy, Elsevier, vol. 34(15), pages 2123-2136, October.
    13. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    7. Ciara O'Dwyer & L. (Lisa B.) Ryan & Damian Flynn, 2017. "Efficient large-scale energy storage dispatch: challenges in future high renewables systems," Open Access publications 10197/9103, School of Economics, University College Dublin.
    8. Ederer, Nikolaus, 2015. "The market value and impact of offshore wind on the electricity spot market: Evidence from Germany," Applied Energy, Elsevier, vol. 154(C), pages 805-814.
    9. Luňáčková, Petra & Průša, Jan & Janda, Karel, 2017. "The merit order effect of Czech photovoltaic plants," Energy Policy, Elsevier, vol. 106(C), pages 138-147.
    10. François Benhmad & Jacques Percebois, 2016. "Wind power feed-in impact on electricity prices in Germany 2009-2013," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(1), pages 81-96, June.
    11. Christian Pape & Arne Vogler & Oliver Woll & Christoph Weber, 2017. "Forecasting the distributions of hourly electricity spot prices," EWL Working Papers 1705, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised May 2017.
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    13. Hain, Martin & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2017. "An Electricity Price Modeling Framework for Renewable-Dominant Markets," Working Paper Series in Production and Energy 23, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    14. Panos, Evangelos & Densing, Martin, 2019. "The future developments of the electricity prices in view of the implementation of the Paris Agreements: Will the current trends prevail, or a reversal is ahead?," Energy Economics, Elsevier, vol. 84(C).
    15. Dillig, Marius & Jung, Manuel & Karl, Jürgen, 2016. "The impact of renewables on electricity prices in Germany – An estimation based on historic spot prices in the years 2011–2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 7-15.
    16. Russo, Marianna & Kraft, Emil & Bertsch, Valentin & Keles, Dogan, 2022. "Short-term risk management of electricity retailers under rising shares of decentralized solar generation," Energy Economics, Elsevier, vol. 109(C).
    17. Halužan, Marko & Verbič, Miroslav & Zorić, Jelena, 2022. "An integrated model for electricity market coupling simulations: Evidence from the European power market crossroad," Utilities Policy, Elsevier, vol. 79(C).
    18. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    19. Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015. "Efficient modeling and forecasting of electricity spot prices," Energy Economics, Elsevier, vol. 47(C), pages 98-111.
    20. Michele Fiorelli & Dogan Keles & Francesco Montana & Giovanni Lorenzo Restifo & Eleonora Riva Sanseverino & Gaetano Zizzo, 2020. "Evaluation of the Administrative Phase-Out of Coal Power Plants on the Italian Electricity Market," Energies, MDPI, vol. 13(18), pages 1-24, September.
    21. Tselika, Kyriaki & Tselika, Maria & Demetriades, Elias, 2024. "Quantifying the short-term asymmetric effects of renewable energy on the electricity merit-order curve," Energy Economics, Elsevier, vol. 132(C).
    22. Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015. "Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets," Energy Economics, Elsevier, vol. 51(C), pages 430-444.
    23. Hain, Martin & Kargus, Tobias & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2022. "An electricity price modeling framework for renewable-dominant markets," Working Paper Series in Production and Energy 66, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    24. Gao, Cuixia & Sun, Mei & Geng, Yong & Wu, Rui & Chen, Wei, 2016. "A bibliometric analysis based review on wind power price," Applied Energy, Elsevier, vol. 182(C), pages 602-612.

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