Stationary Gas Networks with Compressor Control and Random Loads: Optimization with Probabilistic Constraints

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Gugat M, Schuster M
Zeitschrift: Mathematical Problems in Engineering
Jahr der Veröffentlichung: 2018
Band: 2018
ISSN: 1024-123X
eISSN: 1563-5147
Sprache: Englisch


Abstract

We introduce a stationary model for gas flow based on simplified isothermal Euler equations in a non-cycled pipeline network. Especially the problem of the feasibility of a random load vector is analyzed. Feasibility in this context means the existence of a flow vector meeting these loads, which satisfies the physical conservation laws with box constraints for the pressure. An important aspect of the model is the support of compressor stations, which counteract the pressure loss caused by friction in the pipes. The network is assumed to have only one influx node; all other nodes are efflux nodes. With these assumptions the set of feasible loads can be characterized analytically. In addition we show the existence of optimal solutions for some optimization problems with probabilistic constraints. A numerical example based on real data completes this paper.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Gugat, Martin apl. Prof. Dr.
Lehrstuhl für Angewandte Mathematik
Schuster, Michael
Sonderforschungsbereich/Transregio 154: Mathematische Modellierung, Simulation und Optimierung am Beispiel von Gasnetzwerken


Zitierweisen

APA:
Gugat, M., & Schuster, M. (2018). Stationary Gas Networks with Compressor Control and Random Loads: Optimization with Probabilistic Constraints. Mathematical Problems in Engineering, 2018. https://dx.doi.org/10.1155/2018/7984079

MLA:
Gugat, Martin, and Michael Schuster. "Stationary Gas Networks with Compressor Control and Random Loads: Optimization with Probabilistic Constraints." Mathematical Problems in Engineering 2018 (2018).

BibTeX: 

Zuletzt aktualisiert 2019-06-01 um 01:10