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A tractable multi-leader multi-follower peak-load-pricing model with strategic interaction
Authors:Grimm  Veronika  Nowak  Daniel  Schewe  Lars  Schmidt  Martin  Schwartz  Alexandra  Zöttl  Gregor
Institution:1.School of Business and Economics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Lange Gasse 20, 90403, Nürnberg, Germany
;2.Mathematische Fakultät, Technische Universität Darmstadt, Dolivostraße 15, 64293, Darmstadt, Germany
;3.School of Mathematics, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, UK
;4.Department of Mathematics, Trier University, Universitätsring 15, 54296, Trier, Germany
;5.Mathematische Fakultät, Technische Universität Dresden, Zellescher Weg 12-14, 01069, Dresden, Germany
;6.Division Mathematische Fakultät, Technische Universität Darmstadt, Dolivostraße 15, 64293, Darmstadt, Germany
;
Abstract:

While single-level Nash equilibrium problems are quite well understood nowadays, less is known about multi-leader multi-follower games. However, these have important applications, e.g., in the analysis of electricity and gas markets, where often a limited number of firms interacts on various subsequent markets. In this paper, we consider a special class of two-level multi-leader multi-follower games that can be applied, e.g., to model strategic booking decisions in the European entry-exit gas market. For this nontrivial class of games, we develop a solution algorithm that is able to compute the complete set of Nash equilibria instead of just individual solutions or a bigger set of stationary points. Additionally, we prove that for this class of games, the solution set is finite and provide examples for instances without any Nash equilibria in pure strategies. We apply the algorithm to a case study in which we compute strategic booking and nomination decisions in a model of the European entry-exit gas market system. Finally, we use our algorithm to provide a publicly available test library for the considered class of multi-leader multi-follower games. This library contains problem instances with different economic and mathematical properties so that other researchers in the field can test and benchmark newly developed methods for this challenging class of problems.

Keywords:
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