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Collateral effects of liberalisation: Metering, losses, load profiles and cost settlement in Spain’s electricity system

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  • Batalla-Bejerano, Joan
  • Costa-Campi, Maria Teresa
  • Trujillo-Baute, Elisa

Abstract

European energy markets have undergone a major transformation as they have advanced towards market liberalisation and it is vital that the details of these developments be carefully examined. The success of liberalisation is based on smart regulation, which has been capable of providing solutions to unforeseen events in the process. Our paper seeks to contribute to existing understanding of the unexpected and collateral effects of the liberalisation process in the power system by examining a natural experiment that occurred in Spain in 2009. In that year, the electricity supply by distribution system operators disappeared. This change in retail market competition, as we demonstrate in this paper, has had an unexpected effect in terms of the system’s balancing requirements. We undertake a rigorous assessment of the economic consequences of this policy change for the whole system, in terms of its impact on final electricity prices.

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  • Batalla-Bejerano, Joan & Costa-Campi, Maria Teresa & Trujillo-Baute, Elisa, 2016. "Collateral effects of liberalisation: Metering, losses, load profiles and cost settlement in Spain’s electricity system," Energy Policy, Elsevier, vol. 94(C), pages 421-431.
  • Handle: RePEc:eee:enepol:v:94:y:2016:i:c:p:421-431
    DOI: 10.1016/j.enpol.2015.10.050
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    1. Haas, Reinhard & Lettner, Georg & Auer, Hans & Duic, Neven, 2013. "The looming revolution: How photovoltaics will change electricity markets in Europe fundamentally," Energy, Elsevier, vol. 57(C), pages 38-43.
    2. Glachant, Jean-Michel & Finon, Dominique, 2010. "Large-scale wind power in electricity markets," Energy Policy, Elsevier, vol. 38(10), pages 6384-6386, October.
    3. Lion Hirth & Inka Ziegenhagen, 2013. "Control Power and Variable Renewables A Glimpse at German Data," Working Papers 2013.46, Fondazione Eni Enrico Mattei.
    4. Ramanathan, Ramu & Engle, Robert & Granger, Clive W. J. & Vahid-Araghi, Farshid & Brace, Casey, 1997. "Shorte-run forecasts of electricity loads and peaks," International Journal of Forecasting, Elsevier, vol. 13(2), pages 161-174, June.
    5. Joan Batalla-Bejerano & Elisa Trujillo-Baute, 2015. "Analysing the sensitivity of electricity system operational costs to deviations in supply and demand," Working Papers 2015/8, Institut d'Economia de Barcelona (IEB).
    6. Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2015. "Integration costs revisited – An economic framework for wind and solar variability," Renewable Energy, Elsevier, vol. 74(C), pages 925-939.
    7. Billor, Nedret & Hadi, Ali S. & Velleman, Paul F., 2000. "BACON: blocked adaptive computationally efficient outlier nominators," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 279-298, September.
    8. Ignacio J. Perez-Arriaga & Carlos Batlle, 2012. "Impacts of Intermittent Renewables on Electricity Generation System Operation," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    9. Taylor, James W. & de Menezes, Lilian M. & McSharry, Patrick E., 2006. "A comparison of univariate methods for forecasting electricity demand up to a day ahead," International Journal of Forecasting, Elsevier, vol. 22(1), pages 1-16.
    10. Holttinen, H., 2005. "Optimal electricity market for wind power," Energy Policy, Elsevier, vol. 33(16), pages 2052-2063, November.
    11. Cancelo, José Ramón & Espasa, Antoni & Grafe, Rosmarie, 2008. "Forecasting the electricity load from one day to one week ahead for the Spanish system operator," International Journal of Forecasting, Elsevier, vol. 24(4), pages 588-602.
    12. Vandezande, Leen & Meeus, Leonardo & Belmans, Ronnie & Saguan, Marcelo & Glachant, Jean-Michel, 2010. "Well-functioning balancing markets: A prerequisite for wind power integration," Energy Policy, Elsevier, vol. 38(7), pages 3146-3154, July.
    13. Sylvain Weber, 2010. "bacon: An effective way to detect outliers in multivariate data using Stata (and Mata)," Stata Journal, StataCorp LP, vol. 10(3), pages 331-338, September.
    14. Soares, Lacir J. & Medeiros, Marcelo C., 2008. "Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data," International Journal of Forecasting, Elsevier, vol. 24(4), pages 630-644.
    15. Bueno-Lorenzo, Miriam & Moreno, M. Ángeles & Usaola, Julio, 2013. "Analysis of the imbalance price scheme in the Spanish electricity market: A wind power test case," Energy Policy, Elsevier, vol. 62(C), pages 1010-1019.
    16. Hirth, Lion & Ziegenhagen, Inka, 2015. "Balancing power and variable renewables: Three links," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1035-1051.
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    Cited by:

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    5. Simone Di Leo & Marta Chicca & Cinzia Daraio & Andrea Guerrini & Stefano Scarcella, 2022. "A Framework for the Analysis of the Sustainability of the Energy Retail Market," Sustainability, MDPI, vol. 14(12), pages 1-28, June.
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    7. Amenta, Carlo & Aronica, Martina & Stagnaro, Carlo, 2022. "Is more competition better? Retail electricity prices and switching rates in the European Union," Utilities Policy, Elsevier, vol. 78(C).
    8. Lopez, A. & Ogayar, B. & Hernández, J.C. & Sutil, F.S., 2020. "Survey and assessment of technical and economic features for the provision of frequency control services by household-prosumers," Energy Policy, Elsevier, vol. 146(C).
    9. Antonelli, Marco & Desideri, Umberto & Franco, Alessandro, 2018. "Effects of large scale penetration of renewables: The Italian case in the years 2008–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3090-3100.

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    More about this item

    Keywords

    Electricity market design; Balancing services; Electricity market balance; Liberalisation; Natural experiment;
    All these keywords.

    JEL classification:

    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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