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Towards globally optimal operation of water supply networks

Zitieren Sie bitte immer diese URN: urn:nbn:de:0297-zib-15603
  • This paper is concerned with optimal operation of pressurized water supply networks at a fixed point in time. We use a mixed-integer nonlinear programming (MINLP) model incorporating both the nonlinear physical laws and the discrete decisions such as switching pumps on and off. We demonstrate that for instances from our industry partner, these stationary models can be solved to ε-global optimality within small running times using problem-specific presolving and state-of-the-art MINLP algorithms. In our modeling, we emphasize the importance of distinguishing between what we call real and imaginary flow, i.e., taking into account that the law of Darcy-Weisbach correlates pressure difference and flow along a pipe if and only if water is available at the high pressure end of a pipe. Our modeling solution extends to the dynamic operative planning problem.

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Metadaten
Verfasserangaben:Ambros GleixnerORCiD, Harald Held, Wei Huang, Stefan Vigerske
Dokumentart:ZIB-Report
Freies Schlagwort / Tag:MINLP, global optimization, operative planning, water supply networks
MSC-Klassifikation:90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING / 90Cxx Mathematical programming [See also 49Mxx, 65Kxx] / 90C11 Mixed integer programming
90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING / 90Cxx Mathematical programming [See also 49Mxx, 65Kxx] / 90C26 Nonconvex programming, global optimization
90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING / 90Cxx Mathematical programming [See also 49Mxx, 65Kxx] / 90C90 Applications of mathematical programming
Datum der Erstveröffentlichung:25.07.2012
Schriftenreihe (Bandnummer):ZIB-Report (12-25)
ISSN:1438-0064
Verlagspublikation:Appeared in: Numerical Algebra, Control and Optimization 2 (2012) 695-711
DOI:https://doi.org/10.3934/naco.2012.2.695
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