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ELMOD documentation: Modeling of flow-based market coupling and congestion management

Author

Listed:
  • Schönheit, David
  • Hladik, Dirk
  • Hobbie, Hannes
  • Möst, Dominik

Abstract

This paper documents ELMOD, a linear optimization model with a nodal pricing approach, covering the energy market and electricity grid of Europe. In the presented formulation, ELMOD is used for the computation of market coupling results without grid constraints and subsequent computation of congestion management, i.e. redispatch and curtailment. Furthermore, flow-based market coupling is implemented, as the EU-stipulated calculation method for cross-border trading capacities. A short case study presents exemplary results for market outcomes based on flow-based market coupling, i.e. n-1 secure trading domains, import-export balances, and zonal prices, as well as necessary congestion management measures.

Suggested Citation

  • Schönheit, David & Hladik, Dirk & Hobbie, Hannes & Möst, Dominik, 2020. "ELMOD documentation: Modeling of flow-based market coupling and congestion management," EconStor Preprints 217278, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:217278
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    File URL: https://www.econstor.eu/bitstream/10419/217278/1/FINAL_VERSION_ELMOD_Model_Doc_FBMC%26CM.pdf
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    References listed on IDEAS

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    1. Jan Abrell & Friedrich Kunz, 2015. "Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market," Networks and Spatial Economics, Springer, vol. 15(1), pages 117-147, March.
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    3. Fraunholz, Christoph & Hladik, Dirk & Keles, Dogan & Möst, Dominik & Fichtner, Wolf, 2020. "On the long-term efficiency of market splitting in Germany," Working Paper Series in Production and Energy 38, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    4. Florian Leuthold & Hannes Weigt & Christian Hirschhausen, 2012. "A Large-Scale Spatial Optimization Model of the European Electricity Market," Networks and Spatial Economics, Springer, vol. 12(1), pages 75-107, March.
    5. Weigt, Hannes & Jeske, Till & Leuthold, Florian & von Hirschhausen, Christian, 2010. ""Take the long way down": Integration of large-scale North Sea wind using HVDC transmission," Energy Policy, Elsevier, vol. 38(7), pages 3164-3173, July.
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    Cited by:

    1. Lieberwirth, Martin & Hobbie, Hannes, 2022. "Decarbonizing the Industry Sector and its Effect on Electricity Transmission Grid Operation - Implications from a Model Based Analysis for Germany," EconStor Preprints 261839, ZBW - Leibniz Information Centre for Economics.
    2. Kittel, Martin & Hobbie, Hannes & Dierstein, Constantin, 2022. "Temporal aggregation of time series to identify typical hourly electricity system states: A systematic assessment of relevant cluster algorithms," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 247, pages 1-15.

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    More about this item

    Keywords

    energy system modeling; electricity grid models; linear optimization; congestion management; flow-based market coupling; n-1 security criterion;
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