Optimization of Large-Scale Natural Gas Pipeline Network Base on the Combined GASA Algorithm

Abstract

Large natural gas pipeline network optimization with the discrete variables is a question of the nonlinear optimized. Operating agencies have to ensure maximization of the business sector efficiency according the different resource conditions, the selling price and user requirements by the optimization. Based on the analyzing of the GA, SA algorithm's decision variables and the implementation process, a mathematical optimization model is put forward, using GASA combined algorithm, and it applied to carry out the optimization of a large-scale gas pipeline network with 98 nodes, the results shown that the GASA is more reasonable for the pipeline networks with better precision.

Research on the Steady Operation Optimization Model of Natural Gas Pipeline Considering the Combined Operation of Air Coolers and Compressors

“…Li et al [19]- [22] used particle swarm optimization to find out the minimum energy consumption of natural gas pipeline network. Kirkpatrick et al [23] proposed simulated annealing algorithm in 1979, but simulated annealing algorithm was not applied to the operation optimization of natural gas pipelines until 2007 [24]. Dorigo proposed the ant colony algorithm in 1992.…”