Skip to main content
Log in

Bookings in the European gas market: characterisation of feasibility and computational complexity results

  • Research Article
  • Published:
Optimization and Engineering Aims and scope Submit manuscript

Abstract

As a consequence of the liberalisation of the European gas market in the last decades, gas trading and transport have been decoupled. At the core of this decoupling are so-called bookings and nominations. Bookings are special capacity right contracts that guarantee that a specified amount of gas can be supplied or withdrawn at certain entry or exit nodes of the network. These supplies and withdrawals are nominated at the day-ahead. The special property of bookings then is that they need to be feasible, i.e., every nomination that complies with the given bookings can be transported. While checking the feasibility of a nomination can typically be done by solving a mixed-integer nonlinear feasibility problem, the verification of feasibility of a set of bookings is much harder. The reason is the robust nature of feasibility of bookings—namely that for a set of bookings to be feasible, all compliant nominations, i.e., infinitely many, need to be checked for feasibility. In this paper, we consider the question of how to verify the feasibility of given bookings for a number of special cases. For our physics model we impose a steady-state potential-based flow model and disregard controllable network elements. For this case we derive a characterisation of feasible bookings, which is then used to show that the problem is in coNP for the general case but can be solved in polynomial time for linear potential-based flow models. Moreover, we present a dynamic programming approach for deciding the feasibility of a booking in tree-shaped networks even for nonlinear flow models. It turns out that the hardness of the problem mainly depends on the combination of the chosen physics model as well as the specific network structure under consideration. Thus, we give an overview over all settings for which the hardness of the problem is known and finally present a list of open problems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

Download references

Acknowledgements

Martine Labbé has been partially supported by the Fonds de la Recherche Scientifique - FNRS under Grant No. PDR T0098.18. Fränk Plein thanks the Fonds de la Recherche Scientifique - FNRS for his Aspirant fellowship supporting the research for this publication. He also thanks the Deutsche Forschungsgemeinschaft for their support within the Project Z01 in the “Sonderforschungsbereich / Transregio 154 Mathematical Modelling, Simulation and Optimization using the Example of Gas Networks”. Martin Schmidt thanks the Deutsche Forschungsgemeinschaft for their support within projects A05 and B08 in the “Sonderforschungsbereich/Transregio 154 Mathematical Modelling, Simulation and Optimization using the Example of Gas Networks”. This research has been performed as part of the Energie Campus Nürnberg (EnCN) and is supported by funding of the Bavarian State Government. Finally, we want to thank Johannes Thürauf for carefully reading a former version of this manuscript and for his comments that helped to improve the quality of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin Schmidt.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Labbé, M., Plein, F. & Schmidt, M. Bookings in the European gas market: characterisation of feasibility and computational complexity results. Optim Eng 21, 305–334 (2020). https://doi.org/10.1007/s11081-019-09447-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11081-019-09447-0

Keywords

Mathematics Subject Classification

Navigation