4.6 Article

A tractable multi-leader multi-follower peak-load-pricing model with strategic interaction

Journal

MATHEMATICAL PROGRAMMING
Volume 195, Issue 1-2, Pages 605-647

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10107-021-01708-0

Keywords

Game theory; Nash-Cournot equilibria; Multi-leader multi-follower game; Peak-load pricing

Funding

  1. Projekt DEAL

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While single-level Nash equilibrium problems are well understood, less is known about multi-leader multi-follower games. The paper focuses on a special class of two-level multi-leader multi-follower games for modeling strategic booking decisions in the European gas market. An algorithm is developed to compute the complete set of Nash equilibria, with finite solution set and examples of instances without Nash equilibria in pure strategies provided.
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.

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