Title | Stochastic pooling problem for natural gas production network design and operation under uncertainty |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Li X, Armagan E, Tomasgard A, Barton PI |
Journal | AIChE Journal |
Volume | 57 |
Pagination | 2120-2135 |
Keywords | design and operation under uncertainty, Natural gas production network, nonconvex MINLP, pooling problem, stochastic programming |
Abstract | Product quality and uncertainty are two important issues in the design and operation of natural gas production networks. This paper presents a stochastic pooling problem optimization formulation to address these two issues, where the qualities of the flows in the system are described with a pooling model and the uncertainty in the system is handled with a multi-scenario, two-stage stochastic recourse approach. In addition, multi-objective problems are handled via a hierarchical optimization approach. The advantages of the proposed formulation are demonstrated with case studies involving an example system based on Haverly’s pooling problem [1] and a real industrial system. The stochastic pooling problem is a potentially large-scale nonconvex Mixed-Integer Nonlinear Program (MINLP), and a rigorous decomposition method [2] developed recently is used to solve this problem. A computational study demonstrates the advantage of the decomposition method over a state-of-the-art branch-and-reduce global optimizer, BARON [3]. |
URL | http://onlinelibrary.wiley.com.libproxy.mit.edu/doi/10.1002/aic.12419/pdf |
DOI | 10.1002/aic.12419 |
Stochastic pooling problem for natural gas production network design and operation under uncertainty
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