TY - CONF A1 - Breuer, Thomas A1 - Bussieck, Michael A1 - Cao, Karl-Kien A1 - Cebulla, Felix A1 - Fiand, Frederik A1 - Gils, Hans Christian A1 - Gleixner, Ambros A1 - Khabi, Dmitry A1 - Koch, Thorsten A1 - Rehfeldt, Daniel A1 - Wetzel, Manuel T1 - Optimizing Large-Scale Linear Energy System Problems with Block Diagonal Structure by Using Parallel Interior-Point Methods T2 - Operations Research Proceedings 2017 N2 - Current linear energy system models (ESM) acquiring to provide sufficient detail and reliability frequently bring along problems of both high intricacy and increasing scale. Unfortunately, the size and complexity of these problems often prove to be intractable even for commercial state-of-the-art linear programming solvers. This article describes an interdisciplinary approach to exploit the intrinsic structure of these large-scale linear problems to be able to solve them on massively parallel high-performance computers. A key aspect are extensions to the parallel interior-point solver PIPS-IPM originally developed for stochastic optimization problems. Furthermore, a newly developed GAMS interface to the solver as well as some GAMS language extensions to model block-structured problems will be described. Y1 - 2018 UR - https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6752 SP - 641 EP - 647 PB - Springer International Publishing ER -