Optimal compression in natural gas networks: A geometric programming approach

Sidhant Misra, Michael W. Fisher, Scott Backhaus, Russell Bent, Michael Chertkov, Feng Pan

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

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.

Original languageEnglish (US)
Article number6954481
Pages (from-to)47-56
Number of pages10
JournalIEEE Transactions on Control of Network Systems
Volume2
Issue number1
DOIs
StatePublished - Mar 1 2015
Externally publishedYes

Keywords

  • Dynamic Programming
  • Geometric Programming
  • Natural Gas Network
  • Optimal Compression

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Control and Optimization

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