Computational optimization of gas compressor stations: MINLP models versus continuous reformulations
Rose D, Schmidt M, Steinbach MC, Willert BM (2016)
Publication Language: English
Publication Type: Journal article, Original article
Publication year: 2016
Journal
Publisher: Springer Verlag (Germany)
Book Volume: 83
Pages Range: 409--444
Journal Issue: 3
URI: http://www.optimization-online.org/DB_HTML/2h015/02/4793.html
DOI: 10.1007/s00186-016-0533-5
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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Germany (DE)How to cite
APA:
Rose, D., Schmidt, M., Steinbach, M.C., & Willert, B.M. (2016). Computational optimization of gas compressor stations: MINLP models versus continuous reformulations. Mathematical Methods of Operations Research, 83(3), 409--444. https://dx.doi.org/10.1007/s00186-016-0533-5
MLA:
Rose, Daniel, et al. "Computational optimization of gas compressor stations: MINLP models versus continuous reformulations." Mathematical Methods of Operations Research 83.3 (2016): 409--444.
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