Study on Topology-Based Identification of Sources of Vulnerability for Natural Gas Pipeline Networks

被引:1
作者
Wang, Peng [1 ]
Yu, Bo [1 ]
Sun, Dongliang [1 ]
Ao, Shangmin [1 ]
Zhai, Huaxing [1 ]
机构
[1] Beijing Inst Petrochem Technol, Sch Mech Engn, Beijing Key Lab Pipeline Crit Technol & Equipment, Beijing 102617, Peoples R China
来源
COMPUTATIONAL SCIENCE - ICCS 2018, PT III | 2018年 / 10862卷
关键词
Natural gas pipeline network; Topology; Pipeline network safety; Vulnerability; Fragile source;
D O I
10.1007/978-3-319-93713-7_13
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Natural gas pipeline networks are the primary means of transporting natural gas, and safety is the priority in production operation. Investigating the vulnerability of natural gas pipeline networks can effectively identify weak links in the pipeline networks and is critical to the safe operation of pipeline networks. In this paper, based on network evaluation theory, a pipeline network topology-based natural gas pipeline network method to identify sources of vulnerability was developed. In this process, based on characteristics of actual flow in natural gas pipeline networks, network evaluation indices were improved to increase the accuracy of the identification of sources of vulnerability for natural gas pipeline networks. Based on the improved index, a topology-based identification process for sources of vulnerability for natural gas pipeline networks was created. Finally, the effectiveness of the proposed method was verified via pipeline network hydraulic simulation. The result shows that the proposed method is simple and can accurately identify sources of vulnerability in the nodes or links in natural gas pipeline networks.
引用
收藏
页码:163 / 173
页数:11
相关论文
共 7 条
  • [1] Efatmaneshnik Mahmoud, 2016, International Journal of System of Systems Engineering, V7, P294
  • [2] More than meets the eye: Convertible bond issuers' concurrent transactions
    Henderson, Brian J.
    Zhao, Bo
    [J]. JOURNAL OF CORPORATE FINANCE, 2014, 24 : 57 - 79
  • [3] [黄亮亮 Huang Liangliang], 2014, [中国安全科学学报, China Safety Science Journal(CSSJ)], V24, P93
  • [4] Inspection of Unpiggable Natural Gas Pipelines Using In-Pipe Robot
    Kim, Dae-Kwang
    Yoo, Hui-Ryong
    Cho, Sung-Ho
    Koo, Sung-Ja
    Kim, Dong-Kyu
    Yoo, Jung-Su
    Rho, Yong-Woo
    [J]. AETA 2016: RECENT ADVANCES IN ELECTRICAL ENGINEERING AND RELATED SCIENCES: THEORY AND APPLICATION, 2017, 415 : 364 - 373
  • [5] You Q., 2014, OIL GAS STORAGE TRAN, V33, P950
  • [6] Zhao Xiu-wen, 2011, J SAFETY SCI TECHNOL, V7, P93
  • [7] Zhu YH, 2013, IEEE SOUTHEASTCON