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Cross-Border Electricity Trading in Southeast Europe Towards an Internal European Market

Author

Listed:
  • Despoina I. Makrygiorgou

    (Research, Technology & Development Department, Independent Power Transmission Operator (IPTO) S.A., 89 Dyrrachiou & Kifisou Str. Gr, 10443 Athens, Greece
    Department of Electrical and Computer Engineering, University of Patras, 26500 Patras, Greece)

  • Nikos Andriopoulos

    (Research, Technology & Development Department, Independent Power Transmission Operator (IPTO) S.A., 89 Dyrrachiou & Kifisou Str. Gr, 10443 Athens, Greece
    Department of Electrical and Computer Engineering, University of Patras, 26500 Patras, Greece)

  • Ioannis Georgantas

    (Research, Technology & Development Department, Independent Power Transmission Operator (IPTO) S.A., 89 Dyrrachiou & Kifisou Str. Gr, 10443 Athens, Greece)

  • Christos Dikaiakos

    (Research, Technology & Development Department, Independent Power Transmission Operator (IPTO) S.A., 89 Dyrrachiou & Kifisou Str. Gr, 10443 Athens, Greece)

  • George P. Papaioannou

    (Research, Technology & Development Department, Independent Power Transmission Operator (IPTO) S.A., 89 Dyrrachiou & Kifisou Str. Gr, 10443 Athens, Greece)

Abstract

The European Commission’s Target Model’s main objective is to integrate European electricity markets, leading to a single internal energy market and guaranteeing the instantaneous balance between electricity generation and demand. According to the target model for electricity trading, proposed by the European Network Transmission System Operators for Electricity (ENTSO-E), within each zone, electricity can be traded freely without taking into consideration network limitations. In contrast, for cross-border trading, the exchanges with other market areas are taken into account. Cross-border trade poses a further burden on the interconnection lines, resulting in increasing network congestion, which in turn restricts electricity trading. Thus, calculating the available capacity for trade has a significant ramification on the market. Today, the Available Transfer Capacity (ATC) mechanism dominates cross-border trading, but this methodology may be replaced by the Flow-Based (FB) approach across Europe. This paper investigates both approaches regarding the cross-border congestion management under the market coupling procedure. In our case study, the Southeast Europe (SEE) region is taken into consideration; it consists of both the FB and ATC approach in a five country (Greece, North Macedonia, Bulgaria, Serbia, and Romania) scenario. The purpose of our tests is to perform, compare, and evaluate the effectiveness of each method for the SEE region, while the main findings are the maximization of social welfare, better cross-border trading opportunities, and price convergence via the FB method.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6653-:d:463512
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    References listed on IDEAS

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    1. George P. Papaioannou & Christos Dikaiakos & Christos Kaskouras & George Evangelidis & Fotios Georgakis, 2020. "Granger Causality Network Methods for Analyzing Cross-Border Electricity Trading between Greece, Italy, and Bulgaria," Energies, MDPI, vol. 13(4), pages 1-26, February.
    2. Christopher Kath, 2019. "Modeling Intraday Markets under the New Advances of the Cross-Border Intraday Project (XBID): Evidence from the German Intraday Market," Energies, MDPI, vol. 12(22), pages 1-35, November.
    3. Nikolaos Koltsaklis & Athanasios Dagoumas, 2018. "Policy Implications of Power Exchanges on Operational Scheduling: Evaluating EUPHEMIA’s Market Products in Case of Greece," Energies, MDPI, vol. 11(10), pages 1-26, October.
    4. Petr Spodniak & Mikael Collan & Mari Makkonen, 2017. "On Long-Term Transmission Rights in the Nordic Electricity Markets," Energies, MDPI, vol. 10(3), pages 1-19, March.
    5. Moritz Nobis & Carlo Schmitt & Ralf Schemm & Armin Schnettler, 2020. "Pan-European CVaR-Constrained Stochastic Unit Commitment in Day-Ahead and Intraday Electricity Markets," Energies, MDPI, vol. 13(9), pages 1-35, May.
    6. Doorman, Gerard L. & van der Veen, Reinier, 2013. "An analysis of design options for markets for cross-border balancing of electricity," Utilities Policy, Elsevier, vol. 27(C), pages 39-48.
    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. OGGIONI, Giorgia & SMEERS, Yves, 2013. "Market failures of market coupling and counter-trading in Europe: an illustrative model based discussion," LIDAM Reprints CORE 2553, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Poplavskaya, Ksenia & Totschnig, Gerhard & Leimgruber, Fabian & Doorman, Gerard & Etienne, Gilles & de Vries, Laurens, 2020. "Integration of day-ahead market and redispatch to increase cross-border exchanges in the European electricity market," Applied Energy, Elsevier, vol. 278(C).
    10. David Ritter & Roland Meyer & Matthias Koch & Markus Haller & Dierk Bauknecht & Christoph Heinemann, 2019. "Effects of a Delayed Expansion of Interconnector Capacities in a High RES-E European Electricity System," Energies, MDPI, vol. 12(16), pages 1-32, August.
    11. Meeus, L. & Vandezande, L. & Cole, S. & Belmans, R., 2009. "Market coupling and the importance of price coordination between power exchanges," Energy, Elsevier, vol. 34(3), pages 228-234.
    12. Piotr F. Borowski, 2020. "Zonal and Nodal Models of Energy Market in European Union," Energies, MDPI, vol. 13(16), pages 1-21, August.
    13. 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.
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    Cited by:

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    3. Jemma J. Makrygiorgou & Christos-Spyridon Karavas & Christos Dikaiakos & Ioannis P. Moraitis, 2023. "The Electricity Market in Greece: Current Status, Identified Challenges, and Arranged Reforms," Sustainability, MDPI, vol. 15(4), pages 1-40, February.
    4. Yue Pu & Yunting Li & Yingzi Wang, 2021. "Structure Characteristics and Influencing Factors of Cross-Border Electricity Trade: A Complex Network Perspective," Sustainability, MDPI, vol. 13(11), pages 1-25, May.

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