Optimal Compression in Natural Gas Networks: A Geometric Programming Approach

被引:54
|
作者
Misra, Sidhant [1 ,2 ]
Fisher, Michael W. [1 ,3 ]
Backhaus, Scott [4 ]
Bent, Russell [5 ]
Chertkov, Michael
Pan, Feng [1 ,5 ]
机构
[1] Los Alamos Natl Lab, Div Theory, Los Alamos, NM 87544 USA
[2] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[3] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48105 USA
[4] Los Alamos Natl Lab, MPA Div, Los Alamos, NM 87544 USA
[5] Los Alamos Natl Lab, DSA Div, Los Alamos, NM 87544 USA
来源
关键词
Dynamic programming; geometric programming; natural gas network; optimal compression;
D O I
10.1109/TCNS.2014.2367360
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Natural gas transmission pipelines are complex systems whose flow characteristics are governed by challenging nonlinear physical behavior. These pipelines extend over hundreds and even thousands of miles. Gas is typically injected into the system at a constant rate, and a series of compressors is distributed along the pipeline to boost the gas pressure to maintain system pressure and throughput. These compressors consume a portion of the gas, and one goal of the operator is to control the compressor operation to minimize this consumption while satisfying pressure constraints at the gas load points. The optimization of these operations is computationally challenging. Many pipelines simply rely on the intuition and prior experience of operators to make these decisions. Here, we present a new geometric programming approach for optimizing compressor operation in natural gas pipelines. Using models of real natural gas pipelines, we show that the geometric programming algorithm consistently outperforms approaches that mimic the existing state of practice.
引用
收藏
页码:47 / 56
页数:10
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