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Finding Stable Price Zones in European Electricity Markets: Aiming to Square the Circle?

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  • Teodora Dobos
  • Martin Bichler
  • Johannes Knorr

Abstract

The European day-ahead electricity market is split into multiple bidding zones with a uniform price. The increase in renewables leads to a growing number of interventions in the generation of energy sources and increasing redispatch costs. To ensure efficient congestion management, the EU Commission mandated a Bidding Zone Review (BZR) to reevaluate the configuration of European bidding zones. An integral part of this process was a locational marginal pricing study. Based on this study, alternative bidding zone configurations were proposed. These bidding zones shall be stable and robust over time. For Germany, four configurations were suggested. We analyzed the proposed configurations considering different clustering algorithms and periods based on the publicly released data set. We found that the configurations do not reduce the price standard deviations within zones much, and the average prices across zones are similar. Other configurations identified based on clustering the prices lead to lower price variance but they are not geographically coherent. Independent of the clustering features and algorithms used, the resulting clusters are not stable over time. While the costs of a bidding zone split in Germany are high, the effect on prices would be low based on an analysis of the new BZR data.

Suggested Citation

  • Teodora Dobos & Martin Bichler & Johannes Knorr, 2024. "Finding Stable Price Zones in European Electricity Markets: Aiming to Square the Circle?," Papers 2404.06489, arXiv.org, revised Apr 2024.
  • Handle: RePEc:arx:papers:2404.06489
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    References listed on IDEAS

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    1. Stoft, Steven, 1997. "Transmission pricing zones: simple or complex?," The Electricity Journal, Elsevier, vol. 10(1), pages 24-31.
    2. Ambrosius, Mirjam & Grimm, Veronika & Kleinert, Thomas & Liers, Frauke & Schmidt, Martin & Zöttl, Gregor, 2020. "Endogenous price zones and investment incentives in electricity markets: An application of multilevel optimization with graph partitioning," Energy Economics, Elsevier, vol. 92(C).
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