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Impact of model parametrization and formulation on the explorative power of electricity network congestion management models - Insights from a grid model comparison experiment

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Listed:
  • Hobbie, Hannes
  • Mehlem, Jonas
  • Wolff, Christina
  • Weber, Lukas
  • Flachsbarth, Franziska
  • Möst, Dominik
  • Moser, Albert

Abstract

Integrating increasing shares of weather-dependent renewable energies into energy systems while maintaining high levels of security of supply constitutes a challenge for system operators. The system integration of large shares of variable renewable energy generation requires an effective operation of electricity grids and efficient coordination among grid operators. Hence, the detailed modelling of grid operation has increasingly become important in recent years.

Suggested Citation

  • Hobbie, Hannes & Mehlem, Jonas & Wolff, Christina & Weber, Lukas & Flachsbarth, Franziska & Möst, Dominik & Moser, Albert, 2022. "Impact of model parametrization and formulation on the explorative power of electricity network congestion management models - Insights from a grid model comparison experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    • Handle: RePEc:eee:rensus:v:159:y:2022:i:c:s1364032122000910
    DOI: 10.1016/j.rser.2022.112163
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    References listed on IDEAS

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    1. Kendall, JW, 1975. "Hard and soft constraints in linear programming," Omega, Elsevier, vol. 3(6), pages 709-715, December.
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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. Hobbie, Hannes & Lieberwirth, Martin, 2022. "Impact of hydrogen deployment scenarios on the economic effciency of electricity transmission system operation: A model-based case study for the German market area," EconStor Preprints 262112, ZBW - Leibniz Information Centre for Economics.
    3. Franziska Flachsbarth & Anna Pechan & Martin Palovic & Matthias Koch & Dierk Bauknecht & Gert Brunekreeft, 2024. "TSO Coordination and Strategic Behaviour: A Game Theoretical and Simulation Model Study based on the German Electricity Grid," Bremen Energy Working Papers 0048, Bremen Energy Research.
    4. Hobbie, Hannes & Lieberwirth, Martin, 2024. "Compounding or Curative? Investigating the impact of electrolyzer deployment on congestion management in the German power grid," Energy Policy, Elsevier, vol. 185(C).

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    1. Hobbie, Hannes & Mehlem, Jonas & Wolff, Christina & Weber, Lukas & Flachsbarth, Franziska & Möst, Dominik & Moser, Albert, 2021. "Impact of model parametrization and formulation on the explorative power of electricity network congestion management models," EconStor Preprints 240928, ZBW - Leibniz Information Centre for Economics.
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