1234
eng
reportzib
0
2011-03-15
2011-03-15
--
Gas Network Topology Optimization for Upcoming Market Requirements
Gas distribution networks are complex structures that consist of
passive pipes, and active, controllable elements such as valves and
compressors. Controlling such network means to find a suitable setting
for all active components such that a nominated amount of gas can be
transmitted from entries to exits through the network, without
violating physical or operational constraints. The control of a
large-scale gas network is a challenging task from a practical point
of view. In most companies the actual controlling process is supported
by means of computer software that is able to simulate the flow of the
gas. However, the active settings have to be set manually within such
simulation software. The solution quality thus depends on the
experience of a human planner.
When the gas network is insufficient for the transport then topology
extensions come into play. Here a set of new pipes or active elements
is determined such that the extended network admits a feasible control
again. The question again is how to select these extensions and where
to place them such that the total extension costs are
minimal. Industrial practice is again to use the same simulation
software, determine extensions by experience, add them to the virtual
network, and then try to find a feasible control of the active
elements. The validity of this approach now depends even more on the
human planner.
Another weakness of this manual simulation-based approach is that it
cannot establish infeasibility of a certain gas nomination, unless all
settings of the active elements are tried. Moreover, it is impossible
to find a cost-optimal network extension in this way.
In order to overcome these shortcomings of the manual planning
approach we present a new approach, rigorously based on mathematical
optimization. Hereto we describe a model for finding feasible
controls and then extend this model such that topology extensions can
additionally and simultaneously be covered. Numerical results for real-world instances are presented and
discussed.
11-09
urn:nbn:de:0297-zib-12348
10.1109/EEM.2011.5953035
Appeared in: Engery Market (EEM), 2011 8th International Conference on the European, Zagreb, 25-27 May 2011, pp. 346-351
Armin Fügenschuh
-empty- (Opus4 user: )
Benjamin Hiller
Jonas Schweiger
Jesco Humpola
Thorsten Koch
Thomas Lehmann
Robert Schwarz
Jonas Schweiger
Jácint Szabó
ZIB-Report
11-09
deu
uncontrolled
Mathematical Optimization
deu
uncontrolled
Gas Distribution Networks
deu
uncontrolled
Topology Planning
Flow control and optimization
Network models, deterministic
Mixed integer programming
Nonlinear programming
Mathematical Optimization
Fügenschuh, Armin
Hiller, Benjamin
Koch, Thorsten
MODAL-GasLab
ForNe
MODAL-Gesamt
Schweiger, Jonas
https://opus4.kobv.de/opus4-zib/files/1234/ZR-11-09.pdf