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Modelling the EU Internal Electricity Market: The PRIMES-IEM Model

Author

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  • Maria Kannavou

    (E3MLab – Energy Economy Environment Modelling Laboratory, National Technical University of Athens, 15773 Athens, Greece)

  • Marilena Zampara

    (E3MLab – Energy Economy Environment Modelling Laboratory, National Technical University of Athens, 15773 Athens, Greece)

  • Pantelis Capros

    (E3MLab – Energy Economy Environment Modelling Laboratory, National Technical University of Athens, 15773 Athens, Greece)

Abstract

The paper presents a newly built model used to simulate the European Union (EU) internal electricity market and assess market reform policies. The model performs an hourly simulation of all stages of the wholesale markets at a Pan-European scale, covering the sequence of day-ahead, intra-day, and balancing/reserve auctions. The model includes market coupling in all market stages, estimates scarcity bidding by generators endogenously, and determines electricity trade as a flow-based allocation of interconnections via the market auctions implicitly. The model solves a unit-commitment program, formulated as a mixed-integer optimisation problem, under demand and generation constraints, interconnection possibilities, technical restrictions of the cyclic operation of power plants, and the provision of ancillary services. The novelty of this approach is the inclusion of distortions in all stages of the markets to evaluate the impacts of their removal, and the operation of the markets in a segmented versus an integrated manner in the EU. The model calculates revenues and costs per power plant in the EU on a country basis and the value of cross-border flows. The model evaluated market reform measures, including the abolishment of priority dispatch of renewable energy plants, the establishment of flow-based allocation of interconnectors without NTC limitations, the activation of demand response, and the market coupling in intra-day markets. The model application has been in the context of the electricity market design initiative included in the “Clean Energy for all Europeans” policy package proposed by the European Commission in 2016.

Suggested Citation

  • Maria Kannavou & Marilena Zampara & Pantelis Capros, 2019. "Modelling the EU Internal Electricity Market: The PRIMES-IEM Model," Energies, MDPI, vol. 12(15), pages 1-28, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2887-:d:252090
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    References listed on IDEAS

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    1. Neuhoff, Karsten & Barquin, Julian & Bialek, Janusz W. & Boyd, Rodney & Dent, Chris J. & Echavarren, Francisco & Grau, Thilo & von Hirschhausen, Christian & Hobbs, Benjamin F. & Kunz, Friedrich & Nabe, 2013. "Renewable electric energy integration: Quantifying the value of design of markets for international transmission capacity," Energy Economics, Elsevier, vol. 40(C), pages 760-772.
    2. Vijay, Avinash & Fouquet, Nicolas & Staffell, Iain & Hawkes, Adam, 2017. "The value of electricity and reserve services in low carbon electricity systems," Applied Energy, Elsevier, vol. 201(C), pages 111-123.
    3. 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.
    4. OGGIONI, Giorgia & MURPHY, Frederic H. & SMEERS, Yves, 2014. "Evaluating the impacts of priority dispatch in the European electricity market," LIDAM Reprints CORE 2554, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    6. Ramteen Sioshansi & Shmuel Oren, 2007. "How good are supply function equilibrium models: an empirical analysis of the ERCOT balancing market," Journal of Regulatory Economics, Springer, vol. 31(1), pages 1-35, February.
    7. Newbery, David & Strbac, Goran & Viehoff, Ivan, 2016. "The benefits of integrating European electricity markets," Energy Policy, Elsevier, vol. 94(C), pages 253-263.
    8. Anthony PAPAVASILIOU & Yves SMEERS, 2017. "Remuneration of flexibility using operating reserve demand curves: a case study of Belgium," LIDAM Reprints CORE 2900, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Klemperer, Paul D & Meyer, Margaret A, 1989. "Supply Function Equilibria in Oligopoly under Uncertainty," Econometrica, Econometric Society, vol. 57(6), pages 1243-1277, November.
    10. Anthony Papavasiliou & Yves Smeers, 2017. "Remuneration of Flexibility using Operating Reserve Demand Curves: A Case Study of Belgium," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    11. Oggioni, G. & Murphy, F.H. & Smeers, Y., 2014. "Evaluating the impacts of priority dispatch in the European electricity market," Energy Economics, Elsevier, vol. 42(C), pages 183-200.
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    Cited by:

    1. Despoina I. Makrygiorgou & Nikos Andriopoulos & Ioannis Georgantas & Christos Dikaiakos & George P. Papaioannou, 2020. "Cross-Border Electricity Trading in Southeast Europe Towards an Internal European Market," Energies, MDPI, vol. 13(24), pages 1-18, December.
    2. Piotr F. Borowski, 2020. "Zonal and Nodal Models of Energy Market in European Union," Energies, MDPI, vol. 13(16), pages 1-21, August.
    3. Christos Roumkos & Pandelis N. Biskas & Ilias G. Marneris, 2022. "Integration of European Electricity Balancing Markets," Energies, MDPI, vol. 15(6), pages 1-26, March.
    4. Lv, Fei & Wu, Qiong & Ren, Hongbo & Zhou, Weisheng & Li, Qifen, 2024. "On the design and analysis of long-term low-carbon roadmaps: A review and evaluation of available energy-economy-environment models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    5. Spyridon Achinas & Johan Horjus & Vasileios Achinas & Gerrit Jan Willem Euverink, 2019. "A PESTLE Analysis of Biofuels Energy Industry in Europe," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    6. Christos Roumkos & Pandelis Biskas & Ilias Marneris, 2020. "Modeling Framework Simulating the TERRE Activation Optimization Function," Energies, MDPI, vol. 13(11), pages 1-30, June.

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