摘要
A mathematical model of optimal scheduling scheme for gas pipeline network is established, which takes maximum benefits of pipeline network service provider as objective function after comprehensively considered the resources of gas field, downstream gas utilizing conditions, operating parameters of compressor stations and work conditions of pipeline system etc. Evolutionary-based particle swarm algorithm has been investigated, and a new hybrid particle swarm algorithm with embedded chaotic search has been presented to the optimization solution of pipeline network scheduling. Improved algorithm makes use of the ergodicity of chaos to improve the capability of precise search and keep the balance between the global search and the local search, which is able to avoid the premature convergence problem effectively. This paper took a gas network with 17 nodes, 16 pipelines, 2 compressor stations as example, and make the decision on the optimal scheduling scheme for gas pipeline network. The analysis of example demonstrates the effectiveness and applicability of the established model and algorithm.