Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 409-444 |
| Seitenumfang | 36 |
| Fachzeitschrift | Mathematical Methods of Operations Research |
| Jahrgang | 83 |
| Ausgabenummer | 3 |
| Publikationsstatus | Veröffentlicht - 1 Juni 2016 |
Abstract
When considering cost-optimal operation of gas transport networks, compressor stations play the most important role. Proper modeling of these stations leads to nonconvex mixed-integer nonlinear optimization problems. In this article, we give an isothermal and stationary description of compressor stations, state MINLP and GDP models for operating a single station, and discuss several continuous reformulations of the problem. The applicability and relevance of different model formulations, especially of those without discrete variables, is demonstrated by a computational study on both academic examples and real-world instances. In addition, we provide preliminary computational results for an entire network.
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- Managementlehre und Operations Resarch
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in: Mathematical Methods of Operations Research, Jahrgang 83, Nr. 3, 01.06.2016, S. 409-444.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Computational optimization of gas compressor stations
T2 - MINLP models versus continuous reformulations
AU - Rose, Daniel
AU - Schmidt, Martin
AU - Steinbach, Marc C.
AU - Willert, Bernhard M.
N1 - Publisher Copyright: © 2016, The Author(s).
PY - 2016/6/1
Y1 - 2016/6/1
N2 - When considering cost-optimal operation of gas transport networks, compressor stations play the most important role. Proper modeling of these stations leads to nonconvex mixed-integer nonlinear optimization problems. In this article, we give an isothermal and stationary description of compressor stations, state MINLP and GDP models for operating a single station, and discuss several continuous reformulations of the problem. The applicability and relevance of different model formulations, especially of those without discrete variables, is demonstrated by a computational study on both academic examples and real-world instances. In addition, we provide preliminary computational results for an entire network.
AB - When considering cost-optimal operation of gas transport networks, compressor stations play the most important role. Proper modeling of these stations leads to nonconvex mixed-integer nonlinear optimization problems. In this article, we give an isothermal and stationary description of compressor stations, state MINLP and GDP models for operating a single station, and discuss several continuous reformulations of the problem. The applicability and relevance of different model formulations, especially of those without discrete variables, is demonstrated by a computational study on both academic examples and real-world instances. In addition, we provide preliminary computational results for an entire network.
KW - Continuous reformulations
KW - Discrete-continuous nonlinear optimization
KW - Gas compressor stations
KW - Gas networks
KW - Mixed-integer optimization
UR - http://www.scopus.com/inward/record.url?scp=84959116922&partnerID=8YFLogxK
U2 - 10.1007/s00186-016-0533-5
DO - 10.1007/s00186-016-0533-5
M3 - Article
AN - SCOPUS:84959116922
VL - 83
SP - 409
EP - 444
JO - Mathematical Methods of Operations Research
JF - Mathematical Methods of Operations Research
SN - 1432-2994
IS - 3
ER -