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https://doi.org/10.2139/ssrn.4...
Article . 2022 . Peer-reviewed
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Congestion Management Games in Electricity Markets

Authors: Karl-Martin Ehrhart; Anselm Eicke; Lion Hirth; Fabian Ocker; Marion Ott; Ingmar Schlecht; Runxi Wang;

Congestion Management Games in Electricity Markets

Abstract

This paper proposes a game-theoretic model to analyze the strategic behavior of inc-dec gaming in market-based congestion management (redispatch). We extend existing models by considering incomplete information about competitors’ costs and a finite set of providers. We find that inc-dec gaming is also a rational behavior in markets with high competition and with uncertainty about network constraints. Such behavior already occurs in our setup of two regions. Comparing market-based redispatch with three theoretical benchmarks highlights a lower efficiency level of market-based redispatch and inflated redispatch payments. Finally, we study seven variations of our basic model to assess whether different market fundamentals or market design changes mitigate inc-dec gaming. None of these variations eliminates inc-dec gaming entirely. JEL Classification: D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection; D44 Auctions; L13 Oligopoly and Other Imperfect Markets; Q41 Energy: Demand and Supply; Prices; Q48 Energy: Government Policy

Country
Germany
Keywords

L13, Q41, Auctions/bidding, Congestion management, 330, ddc:330, Energy market, Q48, Inc-dec gaming, D43, Game theory, D44

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    popularity
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    influence
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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!
4
Top 10%
Average
Average
Green