期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 82, 期 -, 页码 303-317出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2015.07.005
关键词
Nonconvex mixed-integer nonlinear optimization; Alternating direction methods; Piecewise linear relaxations; Gas transport networks; Heat power supply and demand
资金
- Aufbruch Bayern (Bavaria on the move) initiative of the state of Bavaria
- DFG [Transregio TRR 154]
We present a solution algorithm for problems from steady-state gas transport optimization. Due to nonlinear and nonconvex physics and engineering models as well as discrete controllability of active network devices, these problems lead to difficult nonconvex mixed-integer nonlinear optimization models. The proposed method is based on mixed-integer linear techniques using piecewise linear relaxations of the nonlinearities and a tailored alternating direction method. Most other publications in the field of gas transport optimization only consider pressure and flow as main physical quantities. In this work, we additionally incorporate heat power supplies and demands as well as a mixing model for different gas qualities. We demonstrate the capabilities of our method on Germany's largest transport networks and hereby present numerical results on the largest instances that were ever reported in the literature for this problem class. (C) 2015 Elsevier Ltd. All rights reserved.
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