Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI

Maurizio Titz, Sebastian Pütz and Dirk Witthaut

Applied Energy, 2024, vol. 356, issue C, No S0306261923017154

Abstract: The transition to a sustainable energy supply challenges the operation of electric power systems in various ways. Transmission grid loads increase as wind and solar power is often installed far away from the consumers. System operators resolve grid congestion via countertrading or redispatch to ensure grid stability. While some drivers of congestion are known, the magnitude of their impact is unclear, and other factors might still be unidentified.

Keywords: Congestion management; Cross-border flows; Electricity trading; Explainable artificial intelligence grid congestion; Redispatch (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2023.122351

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