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Study on the multi-objective optimization of reliability and operating cost for natural gas pipeline network

管道(软件) 可靠性(半导体) 管道运输 可靠性工程 计算机科学 网络拓扑 天然气 压气站 吞吐量 工程类 计算机网络 机械工程 电信 功率(物理) 物理 量子力学 无线 程序设计语言 废物管理
作者
Kaituo Jiao,Peng Wang,Yi Wang,Bo Yu,Bofeng Bai,Qianqian Shao,Xinran Wang
出处
期刊:Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles [EDP Sciences]
卷期号:76: 42-42 被引量:11
标识
DOI:10.2516/ogst/2021020
摘要

The development of natural gas pipeline network towards larger scale and throughput has urged better reliability of the pipeline network to satisfy transportation requirement. Previously, studies of optimizing natural gas pipeline network have been mainly focused on reducing operating cost, with little concern on the reliability of pipeline network. For a natural gas pipeline network with a variety of components and complicated topology, a multi-objective optimization model of both reliability and operating cost is proposed in this study. Failure of each component and the state of pipeline network under failure conditions are taken into account, and minimum cut set method is employed to calculate the reliability of the pipeline network. The variables to be determined for the optimization objectives are the rotating speed of compressors and the opening of valves. Then the solving procedure of the proposed model is presented based on Decoupled Implicit Method for Efficient Network Simulation (DIMENS) method and NS-saDE algorithm. The validity of the optimization model is ascertained by its application on a complicated pipeline network. The results illustrate that the optimization model can depict the relative relationship between reliability and operating cost for different throughput, by which the operation scheme with both satisfying reliability and operating cost can be obtained. In addition, the customer reliability and the impact of the failure of each pipeline on the whole network can be evaluated quantitatively to identify the consumers and pipelines of maintenance priority. The pipeline network reliability can be improved through proper monitoring and maintenance of these consumers and pipelines.

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