基于天鹰优化器(AO)算法的气田管网布局优化

Optimization of Gas Field Pipeline Network Layout Based on Aquila optimizer

在进行天然气田地面集输系统建设时,气田管网是其重要的组成部分,为减少地面管网集输系统建设成本、节约管网建设资源,使用天鹰优化器(AO)算法结合气田建设工程约束实际条件,对集输管网进行布局优化,以达到最小管网投资的目的。通过MATLAB软件对天鹰优化器算法进行编码实现,对所建立的气田管网数学模型分别进行分层规划以及整体规划。结果表明:整体规划所建立的气田管网优于分层规划所建立的气田管网。通过与标准粒子群、改进粒子群算法进行比较,验证了天鹰优化器算法的有效性以及稳定性。

In the construction of the surface gathering and transportation system of natural gas fields, the gas field pipeline network is an important part of it. In order to reduce the construction cost of the surface pipeline network gathering and transportation system and save the resources of the pipeline network construction, the Aquila optimizer(AO) algorithm was used in conjunction with the gas field construction project. Based on the actual constrain conditions, the layout of the gathering and transportation pipeline network should be optimized to achieve the goal of minimum pipeline network investment. In this paper, the AO algorithm was coded by MATLAB software, and the mathematical model of the established gas field pipeline network was implemented by layered planning and overall planning. The results showed that the gas field pipeline network established by the overall planning was better than that established by the layered planning method. Compared with the standard particle swarm and improved particle swarm algorithm, the effectiveness and stability of the AO algorithm were verified.