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Cross-border effects in interconnected electricity markets - an analysis of the Swiss electricity prices

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  • Keles, Dogan
  • Dehler-Holland, Joris
  • Densing, Martin
  • Panos, Evangelos
  • Hack, Felix

Abstract

Electricity markets in Europe become increasingly interconnected due to new grid connections and market coupling regulations. This paper examines the interdependencies between the Swiss electricity market and those of neighbouring countries. The Swiss market serves as a good example for a smaller electricity market which is increasingly affected by developments in the large neighbouring countries. To study these cross-border effects, especially those on Swiss electricity prices, we apply two different methodologies, an econometric and a Nash-Cournot equilibrium model.

Suggested Citation

  • Keles, Dogan & Dehler-Holland, Joris & Densing, Martin & Panos, Evangelos & Hack, Felix, 2020. "Cross-border effects in interconnected electricity markets - an analysis of the Swiss electricity prices," Energy Economics, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:eneeco:v:90:y:2020:i:c:s0140988320301420
    DOI: 10.1016/j.eneco.2020.104802
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    1. Steven A. Gabriel & Antonio J. Conejo & J. David Fuller & Benjamin F. Hobbs & Carlos Ruiz, 2013. "Complementarity Modeling in Energy Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4419-6123-5, December.
    2. Parisio, Lucia & Bosco, Bruno, 2008. "Electricity prices and cross-border trade: Volume and strategy effects," Energy Economics, Elsevier, vol. 30(4), pages 1760-1775, July.
    3. Lise, Wietze & Hobbs, Benjamin F. & Hers, Sebastiaan, 2008. "Market power in the European electricity market--The impacts of dry weather and additional transmission capacity," Energy Policy, Elsevier, vol. 36(4), pages 1331-1343, April.
    4. Willems, Bert & Rumiantseva, Ina & Weigt, Hannes, 2009. "Cournot versus Supply Functions: What does the data tell us?," Energy Economics, Elsevier, vol. 31(1), pages 38-47, January.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. Graf, Christoph & Wozabal, David, 2013. "Measuring competitiveness of the EPEX spot market for electricity," Energy Policy, Elsevier, vol. 62(C), pages 948-958.
    7. Keles, Dogan & Bublitz, Andreas & Zimmermann, Florian & Genoese, Massimo & Fichtner, Wolf, 2016. "Analysis of design options for the electricity market: The German case," Applied Energy, Elsevier, vol. 183(C), pages 884-901.
    8. Kiesel, Rüdiger & Paraschiv, Florentina, 2017. "Econometric analysis of 15-minute intraday electricity prices," Energy Economics, Elsevier, vol. 64(C), pages 77-90.
    9. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    10. Ziel, Florian & Steinert, Rick, 2016. "Electricity price forecasting using sale and purchase curves: The X-Model," Energy Economics, Elsevier, vol. 59(C), pages 435-454.
    11. Conejo, Antonio J. & Contreras, Javier & Espinola, Rosa & Plazas, Miguel A., 2005. "Forecasting electricity prices for a day-ahead pool-based electric energy market," International Journal of Forecasting, Elsevier, vol. 21(3), pages 435-462.
    12. Karl Frauendorfer & Florentina Paraschiv & Michael Schürle, 2018. "Cross-Border Effects on Swiss Electricity Prices in the Light of the Energy Transition," Energies, MDPI, vol. 11(9), pages 1-30, August.
    13. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    14. Clò, Stefano & Cataldi, Alessandra & Zoppoli, Pietro, 2015. "The merit-order effect in the Italian power market: The impact of solar and wind generation on national wholesale electricity prices," Energy Policy, Elsevier, vol. 77(C), pages 79-88.
    15. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    16. Richstein, Jörn C. & Chappin, Emile J.L. & de Vries, Laurens J., 2014. "Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach," Energy Policy, Elsevier, vol. 71(C), pages 139-158.
    17. Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2017. "An analysis of the decline of electricity spot prices in Europe: Who is to blame?," Energy Policy, Elsevier, vol. 107(C), pages 323-336.
    18. Sébastien Phan & Fabien Roques, 2015. "Is the Depressive Effect of Renewables on Power Prices Contagious? A Cross Border Econometric Analysis," Working Papers EPRG 1517, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    19. Kallabis, Thomas & Pape, Christian & Weber, Christoph, 2016. "The plunge in German electricity futures prices – Analysis using a parsimonious fundamental model," Energy Policy, Elsevier, vol. 95(C), pages 280-290.
    20. Yihsu Chen & Jos Sijm & Benjamin Hobbs & Wietze Lise, 2008. "Implications of CO 2 emissions trading for short-run electricity market outcomes in northwest Europe," Journal of Regulatory Economics, Springer, vol. 34(3), pages 251-281, December.
    21. Wietze Lise & Jos Sijm & Benjamin Hobbs, 2010. "The Impact of the EU ETS on Prices, Profits and Emissions in the Power Sector: Simulation Results with the COMPETES EU20 Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(1), pages 23-44, September.
    22. Florian Ziel & Rick Steinert, 2015. "Electricity Price Forecasting using Sale and Purchase Curves: The X-Model," Papers 1509.00372, arXiv.org, revised Aug 2016.
    23. Michael Greenwood, 1975. "Simultaneity bias in migration models: An empirical examination," Demography, Springer;Population Association of America (PAA), vol. 12(3), pages 519-536, August.
    24. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    25. Denny, E. & Tuohy, A. & Meibom, P. & Keane, A. & Flynn, D. & Mullane, A. & O'Malley, M., 2010. "The impact of increased interconnection on electricity systems with large penetrations of wind generation: A case study of Ireland and Great Britain," Energy Policy, Elsevier, vol. 38(11), pages 6946-6954, November.
    26. Katarzyna Maciejowska, 2014. "Fundamental and speculative shocks, what drives electricity prices?," HSC Research Reports HSC/14/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    27. Klemperer, Paul D & Meyer, Margaret A, 1989. "Supply Function Equilibria in Oligopoly under Uncertainty," Econometrica, Econometric Society, vol. 57(6), pages 1243-1277, November.
    28. Zachmann, Georg, 2008. "Electricity wholesale market prices in Europe: Convergence?," Energy Economics, Elsevier, vol. 30(4), pages 1659-1671, July.
    29. Lagarto, João & Sousa, Jorge A.M. & Martins, Álvaro & Ferrão, Paulo, 2014. "Market power analysis in the Iberian electricity market using a conjectural variations model," Energy, Elsevier, vol. 76(C), pages 292-305.
    30. Pape, Christian & Hagemann, Simon & Weber, Christoph, 2016. "Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power market," Energy Economics, Elsevier, vol. 54(C), pages 376-387.
    31. 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.
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    Cited by:

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    2. Melliger, Marc & Chappin, Emile, 2022. "Phasing out support schemes for renewables in neighbouring countries: An agent-based model with investment preferences," Applied Energy, Elsevier, vol. 305(C).
    3. Zimmermann, Florian & Keles, Dogan, 2022. "State or market: Investments in new nuclear power plants in France and their domestic and cross-border effects," Working Paper Series in Production and Energy 64, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    4. Macedo, Daniela Pereira & Marques, António Cardoso & Damette, Olivier, 2021. "The Merit-Order Effect on the Swedish bidding zone with the highest electricity flow in the Elspot market," Energy Economics, Elsevier, vol. 102(C).
    5. Francisca Alcayde-García & Esther Salmerón-Manzano & Miguel A. Montero & Alfredo Alcayde & Francisco Manzano-Agugliaro, 2022. "Power Transmission Lines: Worldwide Research Trends," Energies, MDPI, vol. 15(16), pages 1-21, August.
    6. Tselika, Kyriaki, 2022. "The impact of variable renewables on the distribution of hourly electricity prices and their variability: A panel approach," Energy Economics, Elsevier, vol. 113(C).
    7. Ma, Rufei & Liu, Zhenhua & Zhai, Pengxiang, 2022. "Does economic policy uncertainty drive volatility spillovers in electricity markets: Time and frequency evidence," Energy Economics, Elsevier, vol. 107(C).
    8. Macedo, Daniela Pereira & Marques, António Cardoso & Damette, Olivier, 2022. "The role of electricity flows and renewable electricity production in the behaviour of electricity prices in Spain," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 885-900.
    9. Mercier, Thomas & Olivier, Mathieu & De Jaeger, Emmanuel, 2023. "The value of electricity storage arbitrage on day-ahead markets across Europe," Energy Economics, Elsevier, vol. 123(C).

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