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Preventing Internal Congestion in an Integrated European Balancing Activation Optimization

Author

Listed:
  • Martin Håberg

    (Dept. of Electric Power Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
    Statnett SF, N-0423 Oslo, Norway)

  • Hanna Bood

    (Statnett SF, N-0423 Oslo, Norway)

  • Gerard Doorman

    (Statnett SF, N-0423 Oslo, Norway)

Abstract

New common platforms for optimization of balancing energy activation will facilitate cross-border exchange and integrate the fragmented European balancing markets. Having a zonal market structure, these platforms will optimize balancing actions as if intra-zonal transmission constraints did not exists, leaving it to each Transmission System Operator (TSO) to manage internal congestion caused by balancing energy activations. This paper describes a new method to pre-filter balancing bids likely to cause internal congestion due to their location. Furthermore, the complementary concept of exchange domains has been developed to prevent congested and infeasible balancing situations. A numerical example illustrates both the effectiveness and limitations of each method.

Suggested Citation

  • Martin Håberg & Hanna Bood & Gerard Doorman, 2019. "Preventing Internal Congestion in an Integrated European Balancing Activation Optimization," Energies, MDPI, vol. 12(3), pages 1-11, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:490-:d:203311
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    References listed on IDEAS

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    1. Chaves-Ávila, José Pablo & van der Veen, Reinier A.C. & Hakvoort, Rudi A., 2014. "The interplay between imbalance pricing mechanisms and network congestions – Analysis of the German electricity market," Utilities Policy, Elsevier, vol. 28(C), pages 52-61.
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    Cited by:

    1. Javier Leiva & Rubén Carmona Pardo & José A. Aguado, 2019. "Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks," Energies, MDPI, vol. 12(7), pages 1-20, April.
    2. Backer, Martijn & Keles, Dogan & Kraft, Emil, 2023. "The economic impacts of integrating European balancing markets: The case of the newly installed aFRR energy market-coupling platform PICASSO," Energy Economics, Elsevier, vol. 128(C).
    3. Jibran Ali & Stefano Massucco & Federico Silvestro, 2019. "Aggregation Strategy for Reactive Power Compensation Techniques—Validation," Energies, MDPI, vol. 12(11), pages 1-13, May.
    4. Girod, Marie & Donnot, Benjamin & Dussartre, Virginie & Terrier, Viktor & Bourmaud, Jean-Yves & Perez, Yannick, 2024. "Bid filtering for congestion management in European balancing markets – A reinforcement learning approach," Applied Energy, Elsevier, vol. 361(C).

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