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  4. Insights on Germany's future congestion management from a multi-model approach
 
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2020
Journal Article
Title

Insights on Germany's future congestion management from a multi-model approach

Abstract
In Germany, the political decision to phase out nuclear and coal-fired power as well as delays in the planned grid extension are expected to intensify the current issue of high grid congestion volumes. In this article, we investigate two instruments which may help to cope with these challenges: market splitting and the introduction of a capacity mechanism. For this purpose, we carry out a comprehensive system analysis by jointly applying the demand side models FORECAST and eLOAD, the electricity market model PowerACE and the optimal power flow model ELMOD. While a German market splitting has a positive short-term impact on the congestion volumes, we find the optimal zonal delimination determined for 2020 to become outdated by 2035 resulting in new grid bottlenecks. Yet, readjusting the zonal configuration would lower the ability of the market split to provide regional investment incentives. Introducing a capacity mechanism with a congestion indicator allows allocating new power plants in regions with higher electricity demand. Consequently, we find the required congestion management to be substantially reduced in this setting. However, given the large amount of design parameters, any capacity mechanism needs to be carefully planned before its introduction to avoid new inefficiences on the market side.
Author(s)
Hladik, Dirk
TU Dresden, Chair of Enery Economics
Fraunholz, Christoph
KIT Karlsruhe, IIP
Kühnbach, Matthias  
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Manz, Pia  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Kunze, Robert
ESA2 GmbH
Journal
Energies  
Open Access
DOI
10.24406/publica-r-264088
10.3390/en13164176
File(s)
N-599915.pdf (2.9 MB)
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Congestion management

  • Market splitting

  • Capacity mechanism

  • Model coupling

  • Demand-side modeling

  • Agent-based modeling

  • Optimal power flow

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