TY - JOUR

T1 - High detail stationary optimization models for gas networks

T2 - validation and results

AU - Schmidt, Martin

AU - Steinbach, Marc C.

AU - Willert, Bernhard M.

N1 - Funding Information: This work has been supported by the German Federal Ministry of Economics and Technology owing to a decision of the German Bundestag. The responsibility for the content of this publication lies with the authors. This research has been performed as part of the Energie Campus Nürnberg and supported by funding through the “Aufbruch Bayern (Bavaria on the move)” initiative of the state of Bavaria. We would also like to thank our industry partner Open Grid Europe GmbH and the project partners in the ForNe consortium. Finally, we thank Björn Geißler and Antonio Morsi for many suggestions for improvement.

PY - 2015/12/29

Y1 - 2015/12/29

N2 - Due to strict regulatory rules in combination with complex nonlinear physics, major gas network operators in Germany and Europe face hard planning problems that call for optimization. In part 1 of this paper we have developed a suitable model hierarchy for that purpose. Here we consider the more practical aspects of modeling. We validate individual model components against a trusted simulation tool, give a structural overview of the model hierarchy, and use its large variety of approximations to devise robust and efficient solution techniques. An extensive computational study demonstrates the suitability of our models and techniques for previously unsolvable problems in gas network planning.

AB - Due to strict regulatory rules in combination with complex nonlinear physics, major gas network operators in Germany and Europe face hard planning problems that call for optimization. In part 1 of this paper we have developed a suitable model hierarchy for that purpose. Here we consider the more practical aspects of modeling. We validate individual model components against a trusted simulation tool, give a structural overview of the model hierarchy, and use its large variety of approximations to devise robust and efficient solution techniques. An extensive computational study demonstrates the suitability of our models and techniques for previously unsolvable problems in gas network planning.

KW - Gas networks

KW - High-detail modeling

KW - Model validation

KW - Sequential NLP solving

KW - Stationary operation

UR - http://www.scopus.com/inward/record.url?scp=84951919756&partnerID=8YFLogxK

U2 - 10.1007/s11081-015-9300-3

DO - 10.1007/s11081-015-9300-3

M3 - Article

AN - SCOPUS:84951919756

VL - 17

SP - 437

EP - 472

JO - Optimization and engineering

JF - Optimization and engineering

SN - 1389-4420

IS - 2

ER -