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Evaluation of Risks for Electricity Generation Companies through Reconfiguration of Bidding Zones in Extended Central Western Europe

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  • Caroline Deilen, Tim Felling, Robin Leisen, and Christoph Weber

Abstract

In Central Western Europe, a reconfiguration of bidding zones for electricity is frequently discussed as a way to improve congestion management. The current EU guideline on Capacity Allocation and Congestion Management even envisages reviews of the bidding zone configuration (BZC) in regular intervals of three years. Such a change of BZCs gives rise to additional regulatory risk for generation companies. Their expected net present value depends on local prices, which are directly influenced by the BZC. The paper at hand develops a methodology to investigate the impact of this regulatory risk. Therefore the risk of bidding zone changes is modeled using a partly-meshed scenario tree. The risk factors reflected therein are uncertainties in grid developments, in combination with other risks such as changing coal and gas spreads, demand, or renewable infeed variations. Results are compared to the current BZC in Europe and to a nodal setup.

Suggested Citation

  • Caroline Deilen, Tim Felling, Robin Leisen, and Christoph Weber, 2019. "Evaluation of Risks for Electricity Generation Companies through Reconfiguration of Bidding Zones in Extended Central Western Europe," The Energy Journal, International Association for Energy Economics, vol. 0(The New E).
  • Handle: RePEc:aen:journl:ej40-si1-leisen
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    Cited by:

    1. Bucksteeg, Michael & Voswinkel, Simon & Blumberg, Gerald, 2023. "Improving flow-based market coupling by integrating redispatch potential - Evidence from a large-scale model," EconStor Preprints 270878, ZBW - Leibniz Information Centre for Economics.
    2. Yana Duan & Yang Sun & Yu Zhang & Xiaoqi Fan & Qinghuan Dong & Sen Guo, 2021. "Risk Evaluation of Electric Power Grid Investment in China Employing a Hybrid Novel MCDM Method," Mathematics, MDPI, vol. 9(5), pages 1-22, February.
    3. Bucksteeg, Michael & Voswinkel, Simon & Blumberg, Gerald, 2024. "Improving flow-based market coupling by integrating redispatch potential―Evidence from a large-scale model," Energy Policy, Elsevier, vol. 188(C).
    4. Felling, Tim, 2021. "Development of a genetic algorithm and its application to a bi-level problem of system cost optimal electricity price zone configurations," Energy Economics, Elsevier, vol. 101(C).
    5. Marco Sebastian Breder & Felix Meurer & Michael Bucksteeg & Christoph Weber, 2022. "Spatial Incentives for Power-to-hydrogen through Market Splitting," EWL Working Papers 2203, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Jul 2022.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

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