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SSRN Electronic Journal
Article . 2013 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1109/eem.20...
Article . 2013 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2013
Data sources: EconStor
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The Benefit of Coordinating Congestion Management in Germany

Authors: Friedrich Kunz; Alexander Zerrahn;

The Benefit of Coordinating Congestion Management in Germany

Abstract

The management of congestion within the German transmission network has become more important during the last years. This emerging relevance is caused by the increase of renewable generation and the partial phase-out of nuclear power plants. Both developments yield a in the transmission flow pattern and henceforth the need for congestion management. Currently, four German transmission system operators (TSOs) are in charge of managing congestion using curative methods, particularly redispatch of power plants. However, the existence of four TSOs within Germany induces the question whether coordination between them in managing national congestion would be beneficial. To address this issue, we apply a generalized Nash equilibrium model to analyse different degrees of coordination, covering the German electricity market with a detailed representation of the generation and network structure. The results indicate that the costs of congestion management decrease in a rising degree of coordination as TSOs take into account congestion in other operators' zones. Total costs are highest in case each TSO is solely responsible for its own zone, and lowest if one integrated entity is in charge of mitigating congestion. We conclude that, in a setup with multiple TSOs, inducing coordination, for instance through a common market, has the potential of lowering the overall costs of congestion management.

Keywords

Congestion Management, Coordination, Electricity Economics, Generalized Nash Equilibrium, Germany, Q40, ddc:330, Congestion Management, Generalized Nash Equilibrium, C61, Coordination, Germany, L94, Electricity Economics, jel: jel:C61, jel: jel:L94, jel: jel:Q40

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Top 10%
bronze