@inproceedings{HillerSaitenmacherWalther2017, author = {Hiller, Benjamin and Saitenmacher, Ren{\´e} and Walther, Tom}, title = {Analysis of operating modes of complex compressor stations}, booktitle = {Proceedings of Operations Research 2016}, doi = {10.1007/978-3-319-55702-1_34}, pages = {251 -- 257}, year = {2017}, abstract = {We consider the modeling of operation modes for complex compressor stations (i.e., ones with several in- or outlets) in gas networks. In particular, we propose a refined model that allows to precompute tighter relaxations for each operation mode. These relaxations may be used to strengthen the compressor station submodels in gas network optimization problems. We provide a procedure to obtain the refined model from the input data for the original model.}, language = {en} } @inproceedings{GamrathHillerWitzig2015, author = {Gamrath, Gerald and Hiller, Benjamin and Witzig, Jakob}, title = {Reoptimization Techniques in MIP Solvers}, volume = {9125}, edition = {Experimental Algorithms, Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-319-20086-6}, doi = {10.1007/978-3-319-20086-6_14}, pages = {181 -- 192}, year = {2015}, abstract = {Recently, there have been many successful applications of optimization algorithms that solve a sequence of quite similar mixed-integer programs (MIPs) as subproblems. Traditionally, each problem in the sequence is solved from scratch. In this paper we consider reoptimization techniques that try to benefit from information obtained by solving previous problems of the sequence. We focus on the case that subsequent MIPs differ only in the objective function or that the feasible region is reduced. We propose extensions of the very complex branch-and-bound algorithms employed by general MIP solvers based on the idea to ``warmstart'' using the final search frontier of the preceding solver run. We extend the academic MIP solver SCIP by these techniques to obtain a reoptimizing branch-and-bound solver and report computational results which show the effectiveness of the approach.}, language = {en} } @incollection{HillerHaynHeitschetal.2015, author = {Hiller, Benjamin and Hayn, Christine and Heitsch, Holger and Henrion, Ren{\´e} and Le{\"o}vey, Hernan and M{\"o}ller, Andris and R{\"o}misch, Werner}, title = {Methods for verifying booked capacities}, booktitle = {Evaluating gas network capacities}, publisher = {Society for Industrial and Applied Mathematics}, pages = {291 -- 315}, year = {2015}, language = {en} } @misc{HillerKochScheweetal.2017, author = {Hiller, Benjamin and Koch, Thorsten and Schewe, Lars and Schwarz, Robert and Schweiger, Jonas}, title = {A System to Evaluate Gas Network Capacities: Concepts and Implementation}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-61931}, year = {2017}, abstract = {Since 2005, the gas market in the European Union is liberalized and the trading of natural gas is decoupled from its transport. The transport is done by so-called transmissions system operators or TSOs. The market model established by the European Union views the gas transmission network as a black box, providing shippers (gas traders and consumers) the opportunity to transport gas from any entry to any exit. TSOs are required to offer maximum independent capacities at each entry and exit such that the resulting gas flows can be realized by the network without compromising security of supply. Therefore, evaluating the available transport capacities is extremely important to the TSOs. This paper gives an overview of the toolset for evaluating gas network capacities that has been developed within the ForNe project, a joint research project of seven research partners initiated by Open Grid Europe, Germany's biggest TSO. While most of the relevant mathematics is described in the book "Evaluating Gas Network Capacities", this article sketches the system as a whole, describes some developments that have taken place recently, and gives some details about the current implementation.}, language = {en} }