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[1]崔静怡　朱坤锋　高萃仙　谷俐　任静　李玉星　王武昌.区域天然气管网新建管道设计优化技术[J].油气储运,2025,44(04):1-14.
　CUI Jingyi,ZHU Kunfeng,GAO Cuixian,et al.Research on optimization technology of new pipeline design for regional natural gas pipeline network[J].Oil & Gas Storage and Transportation,2025,44(04):1-14.

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区域天然气管网新建管道设计优化技术

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 44 期数: 2025年04期页码: 1-14 栏目: 出版日期: 2025-04-25

Title:: Research on optimization technology of new pipeline design for regional natural gas pipeline network

作者:: 崔静怡　朱坤锋　高萃仙　谷俐　任静　李玉星　王武昌

Author(s):: CUI Jingyi; ZHU Kunfeng ; GAO Cuixian ; GU Li ; REN Jing; LI Yuxing; WANG Wuchang

关键词:: 天然气管网; 新建管道; 设计优化; 管网布局; 稳态优化

Keywords:: natural gas pipeline network; design optimization; regional pipe network; steady-state optimization

分类号:: TE832

文献标志码:: A

摘要:: 【目的】随着天然气用户数量与用气量增长，管网在不断扩建，然而错综复杂的管网结构、多样化的供/用气特征、相互影响的设计参数，致使难以按照常规方式对新管道进行规划设计。为保障用户的未来用气需求、提高管道设计效率，亟需对现有的管道规划设计方法、优化算法进行梳理研究，提出一套适用于多气源、多用户且存在旧管网的复杂管网系统的设计优化方法。【方法】首先在管道水力约束、压气站能耗约束等约束条件下，以费用现值最低为目标，采用3级优化方法构建天然气管网设计优化模型，第1级模型以管网布局为决策变量进行迭代求解，第2级模型对管道设计输量进行寻优，第3级模型对管道管径、压气站等参数进行设计、寻优；其次，采用粒子群优化算法对模型进行优化求解；最后，将所提方法应用于某实际天然气管网中，计算得到管网的规划设计方案。【结果】与仅考虑总输量最大的单一工况相比，考虑未来管网可能出现的多种工况计算得到的新建管道设计方案更加合理。该优化方法计算得到的最优设计方案的总成本相比传统设计方案低27.09%。【结论】管网输送能力的提高验证了该规划模型可在满足管网输送需求的情况下、最大限度减少管道建设与运营成本。

Abstract:: [Objective] With the growth of the number of users and gas consumption, the gas pipeline network expands. However, it is difficult to design the new pipeline in a conventional way due to the complex network structure, diversified gas supply/use characteristics and mutual influence of design parameters. In order to satisfy the future gas demand and improve the efficiency and scientificity of pipeline design, it is essential to review existing planning and design methods and propose a design optimization method for complex pipe network system with multi-gas source, multi-user and old pipe network. [Methods]Under the constraints of pipeline hydraulic constraint and energy consumption constraint of compressor station, the study firstly adopts a three-level optimization method to construct natural gas pipeline network design optimization model with the lowest present value of cost as the goal. In the first-level model, pipe network layout is taken as the decision variable; in the second-level model, pipeline design flow rate is optimized. The third level model optimizes the parameters such as pipeline diameter and compressor station. Secondly, particle swarm optimization algorithm (PSO) is used to optimize the model. Finally, the model is applied to a real natural gas pipeline network, and design scheme of the pipeline network is calculated. [Results] The results show that the new pipeline design schemes, which consider multiple future flow conditions, are more reasonable than schemes based solely on a single flow condition with maximum total gas supply. Additionally, the optimal design scheme derived from the proposed method has a total cost that is 27.09% lower than the traditional design schemes.[Conclusion] The improved pipeline capacity demonstrates that the model proposed in this study effectively meets transportation demands while minimizing construction and operational costs.

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更新日期/Last Update: 2024-11-21