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Breuer, Thomas [Author]; Bussieck, Michael [Author]; Wetzel, Manuel [Author]; Cao, Karl-Kiên [Author]; Cebulla, Felix [Author]; Fiand, Frederik [Author]; Gils, Hans Christian [Author]; Gleixner, Ambros [Author]; Khabi, Dmitry [Author]; Koch, Thorsten [Author]; Rehfeldt, Daniel [Author]

Optimizing Large-Scale Linear Energy System Problems with Block Diagonal Structure by Using Parallel Interior-Point Methods

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  • Media type: Electronic Conference Proceeding
  • Title: Optimizing Large-Scale Linear Energy System Problems with Block Diagonal Structure by Using Parallel Interior-Point Methods
  • Contributor: Breuer, Thomas [Author]; Bussieck, Michael [Author]; Wetzel, Manuel [Author]; Cao, Karl-Kiên [Author]; Cebulla, Felix [Author]; Fiand, Frederik [Author]; Gils, Hans Christian [Author]; Gleixner, Ambros [Author]; Khabi, Dmitry [Author]; Koch, Thorsten [Author]; Rehfeldt, Daniel [Author]
  • Published: Springer International Publishing, 2018
  • Published in: Cham : Springer International Publishing, Operations Research Proceedings 641 - 647 (2018). doi:10.1007/978-3-319-89920-6_85 ; Operations Research Proceedings 2017 / Kliewer, Natalia (Editor) ; Cham : Springer International Publishing, 2018, Chapter 85 ; ISSN: 0721-5924=ISBN: 978-3-319-89919-0=978-3-319-89920-6 ; doi:10.1007/978-3-319-89920-6 ; doi:10.1007/978-3-319-89920-6 International Conference on Operations Research, Berlin, Germany, 2017-09-06 - 2017-09-08
  • Language: English
  • DOI: https://doi.org/10.1007/978-3-319-89920-6_85; https://doi.org/10.1007/978-3-319-89920-6
  • ISBN: 978-3-319-89920-6
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: Current linear energy system models (ESM) acquiring toprovide sufficient detail and reliability frequently bring along problems ofboth high intricacy and increasing scale. Unfortunately, the size and complexityof these problems often prove to be intractable even for commercialstate-of-the-art linear programming solvers. This article describesan interdisciplinary approach to exploit the intrinsic structure of theselarge-scale linear problems to be able to solve them on massively parallelhigh-performance computers. A key aspect are extensions to the parallelinterior-point solver PIPS-IPM originally developed for stochasticoptimization problems. Furthermore, a newly developed GAMS interfaceto the solver as well as some GAMS language extensions to modelblock-structured problems will be described.
  • Access State: Open Access