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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART:20260329T030000
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DTSTART:20261025T020000
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UID:MEC-5830e88a77c3b198718278402df5f82b@dcn.nat.fau.eu
DTSTART;TZID=Europe/Berlin:20250304T160000
DTEND;TZID=Europe/Berlin:20250304T170000
DTSTAMP:20250331T132001Z
CREATED:20250331
LAST-MODIFIED:20250528
PRIORITY:5
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TRANSP:OPAQUE
SUMMARY:The Location Problem for Compressor Stations in Pipeline Networks
DESCRIPTION:On Tuesday March 4, 2025 our postdoctoral researchers Michael Schuster will talk at the SIGOPT 2025 International Conference on Optimization in Siegen, Germany.\nAbstract.  In the operation of pipeline networks, compressors play a crucial role in ensuring the network’s functionality for various scenarios. In this contribution we address the important question of finding the optimal location of the compressors. That results in non-convex mixed integer stochastic optimization problems with probabilistic constraints.\nUsing a steady state model for the gas flow in pipeline networks including compressor control and uncertain loads given by certain probability distributions, the problem of finding the optimal location for the control on the network, s.t. the control cost is minimal and the gas pressure stays within given bounds, is considered.\nIn the deterministic setting, explicit bounds for the pipe length and the inlet pressure, s.t. a unique optimal compressor location with minimal control cost exists, are presented. In the probabilistic setting, an existence result for the optimal compressor location is presented and the uniqueness of the solution is discussed depending on the probability distribution.\nFurther the problem of finding the optimal compressor locations on networks including the number of compressor stations as variable is considered. Results for the existence of optimal locations on a graph in both, the deterministic and the probabilistic setting, are presented. The paper concludes with an illustrative example on a diamond graph demonstrating that the minimal number of compressor stations is not necessarily equal to the optimal number.\nWHEN\nTue. March 4, 2025 at 16:00H\nWHERE\nUniversity of Siegen\nUnteres Schloß 3 – 57072 Siegen\n
URL:https://dcn.nat.fau.eu/events/the-location-problem-for-compressor-stations-in-pipeline-networks/
CATEGORIES:Seminar/Talk
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