Multiobjective optimization of a gas pipeline network: an ant colony approach

Abstract

Abstract Optimization problems in gas pipeline transportation involve numerous variables, multiple objectives and many complex linear–nonlinear equality and inequality constraints. The optimization techniques used for solving multiobjective gas transportation problems are essentially different as those for single-objective optimization. Discovering the Pareto front and non-dominated set of solutions for the nonlinear multiobjective pipeline problem obliges noteworthy registering exertion. In the present paper, for solving multiobjective gas pipeline transportation problem, a multiobjective ant colony optimization technique for pipeline optimization has been developed. The multiobjective problem considered is about minimizing fuel consumption in compressors and maximizing throughput. For validation of the technique used, it has been applied on some test problems reported in the literature. After validation, the technique has then been implemented in the gas pipeline transportation problem. An eighteen-node gas pipeline network has been taken for analysis. The result obtained supports the industrial practice of maximizing throughput at the cost of an increase in fuel consumption in compressors. The technique employed and the results obtained may be used by the pipeline operators and managers to develop strategies for improving the operating conditions of gas pipeline network.

Keywords

• Multiobjective ant colony optimization
• Gas transmission system
• Pipeline simulation and optimization
• Natural gas consumption in compressors