Robust optimal discrete arc sizing for tree-shaped potential networks

Martin Robinius, Lars Schewe, Martin Schmidt*, Detlef Stolten, Johannes Thürauf, Lara Welder

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We consider the problem of discrete arc sizing for tree-shaped potential networks with respect to infinitely many demand scenarios. This means that the arc sizes need to be feasible for an infinite set of scenarios. The problem can be seen as a strictly robust counterpart of a single-scenario network design problem, which is shown to be NP-complete even on trees. In order to obtain a tractable problem, we introduce a method for generating a finite scenario set such that optimality of a sizing for this finite set implies the sizing’s optimality for the originally given infinite set of scenarios. We further prove that the size of the finite scenario set is quadratically bounded above in the number of nodes of the underlying tree and that it can be computed in polynomial time. The resulting problem can then be solved as a standard mixed-integer linear optimization problem. Finally, we show the applicability of our theoretical results by computing globally optimal arc sizes for a realistic hydrogen transport network of Eastern Germany.

Original languageEnglish
Pages (from-to)791–819
JournalComputational optimization and applications
Issue number3
Early online date23 Mar 2019
Publication statusPublished - Jul 2019

Keywords / Materials (for Non-textual outputs)

  • Discrete arc sizing
  • Mixed-integer linear optimization
  • Network design
  • Potential networks
  • Robust optimization
  • Scenario generation


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