Title :
Optimal Compression in Natural Gas Networks: A Geometric Programming Approach
Author :
Misra, Sidhant ; Fisher, Michael W. ; Backhaus, Scott ; Bent, Russell ; Chertkov, Michael ; Feng Pan
Author_Institution :
Theor. Div., LANL, Los Alamos, NM, USA
Abstract :
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.
Keywords :
compressors; computational fluid dynamics; geometric programming; natural gas technology; pipe flow; pipelines; complex systems; compressors; flow characteristics; gas load points; gas pressure; geometric programming approach; natural gas networks; natural gas pipelines; natural gas transmission pipelines; nonlinear physical behavior; optimal compression; optimization; pressure constraints; system pressure; system throughput; Compressors; Control systems; Mathematical model; Natural gas; Pipelines; Programming; Throughput; Dynamic Programming; Dynamic programming; Geometric Programming; Natural Gas Network; Optimal Compression; geometric programming; natural gas network; optimal compression;
Journal_Title :
Control of Network Systems, IEEE Transactions on
DOI :
10.1109/TCNS.2014.2367360