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Congestion Management in European Power Networks: Criteria to Assess the Available Options

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  • Karsten Neuhoff
  • Benjamin F. Hobbs
  • David Newbery

Abstract

EU Member States are pursuing large scale investment in renewable generation in order to meet a 2020 target to source 20% of total energy sources by renewables. As the location for this new generation differs from the location of existing generation sources, and is often on the extremities of the electricity network, it will create new flow patterns and transmission needs. While congestion exists between European countries, increasing the penetration of variable sources of energy will change the current cross-border congestion profile. It becomes increasingly important for the power market design to foster the full use of existing transmission capacity and allow for robust operation even in the presence of system congestion. After identifying five criteria that an effective congestion management scheme for European countries will need, this paper critically assess to what extent the various approaches satisfy the requirements.

Suggested Citation

  • Karsten Neuhoff & Benjamin F. Hobbs & David Newbery, 2011. "Congestion Management in European Power Networks: Criteria to Assess the Available Options," Discussion Papers of DIW Berlin 1161, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp1161
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    References listed on IDEAS

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    1. Frieder Borggrefe & Karsten Neuhoff, 2011. "Balancing and Intraday Market Design: Options for Wind Integration," Discussion Papers of DIW Berlin 1162, DIW Berlin, German Institute for Economic Research.
    2. Bjorndal, Mette & Jornsten, Kurt, 2007. "Benefits from coordinating congestion management--The Nordic power market," Energy Policy, Elsevier, vol. 35(3), pages 1978-1991, March.
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    Cited by:

    1. McInerney, Celine & Bunn, Derek W., 2017. "Optimal over installation of wind generation facilities," Energy Economics, Elsevier, vol. 61(C), pages 87-96.
    2. Pär Holmberg and Ewa Lazarczyk, 2015. "Comparison of congestion management techniques: Nodal, zonal and discriminatory pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    3. Grimm, Veronika & Martin, Alexander & Schmidt, Martin & Weibelzahl, Martin & Zöttl, Gregor, 2016. "Transmission and generation investment in electricity markets: The effects of market splitting and network fee regimes," European Journal of Operational Research, Elsevier, vol. 254(2), pages 493-509.
    4. Holmberg, Pär & Tangerås, Thomas & Ahlqvist, Victor, 2018. "Central- versus Self-Dispatch in Electricity Markets," Working Paper Series 1257, Research Institute of Industrial Economics, revised 27 Mar 2019.
    5. Grimm, Veronika & Martin, Alexander & Weibelzahl, Martin & Zöttl, Gregor, 2016. "On the long run effects of market splitting: Why more price zones might decrease welfare," Energy Policy, Elsevier, vol. 94(C), pages 453-467.
    6. Hagspiel, S. & Jägemann, C. & Lindenberger, D. & Brown, T. & Cherevatskiy, S. & Tröster, E., 2014. "Cost-optimal power system extension under flow-based market coupling," Energy, Elsevier, vol. 66(C), pages 654-666.
    7. de Jong, Jacques & Hassel, Arndt & Egenhofer, Christian & Jansen, Jaap & Xu, Zheng, 2017. "Improving the Market for Flexibility in the Electricity Sector," CEPS Papers 13093, Centre for European Policy Studies.
    8. Hesamzadeh, M. & Holmberg, P. & Sarfati, M., 2018. "Simulation and Evaluation of Zonal Electricity Market Designs," Cambridge Working Papers in Economics 1829, Faculty of Economics, University of Cambridge.
    9. Hagspiel, Simeon & Jägemann, Cosima & Lindenberger, Dietmar & Brown, Tom & Cherevatskiy, Stanislav & Tröster, Eckehard, 2013. "Cost-Optimal Power System Extension under Flow-Based Market Coupling," EWI Working Papers 2013-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Ruderer, D., 2012. "The Impact of Transmission Pricing in Network Industries," Cambridge Working Papers in Economics 1230, Faculty of Economics, University of Cambridge.
    11. Stawska, Anna & Romero, Natalia & de Weerdt, Mathijs & Verzijlbergh, Remco, 2021. "Demand response: For congestion management or for grid balancing?," Energy Policy, Elsevier, vol. 148(PA).
    12. Bhagwat, Pradyumna C. & de Vries, Laurens J. & Hobbs, Benjamin F., 2016. "Expert survey on capacity markets in the US: Lessons for the EU," Utilities Policy, Elsevier, vol. 38(C), pages 11-17.
    13. 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.
    14. Makpal Assembayeva & Jonas Egerer & Roman Mendelevitch & Nurkhat Zhakiyev, 2017. "A Spatial Electricity Market Model for the Power System of Kazakhstan," Discussion Papers of DIW Berlin 1659, DIW Berlin, German Institute for Economic Research.
    15. Verzijlbergh, R.A. & De Vries, L.J. & Dijkema, G.P.J. & Herder, P.M., 2017. "Institutional challenges caused by the integration of renewable energy sources in the European electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 660-667.
    16. Ochoa, Camila & van Ackere, Ann, 2015. "Winners and losers of market coupling," Energy, Elsevier, vol. 80(C), pages 522-534.
    17. Lidia Puka & Kacper Szulecki, 2014. "Beyond the "Grid-Lock" in Electricity Interconnectors: The Case of Germany and Poland," Discussion Papers of DIW Berlin 1378, DIW Berlin, German Institute for Economic Research.

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    More about this item

    Keywords

    Power market design; integrating renewables; congestion management;
    All these keywords.

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