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Supply reliability allocation of natural gas pipeline network system based on composite allocation method

Author

Listed:
  • Tang, Shuaishuai
  • Hou, Lei
  • Liu, Yueqi
  • Yang, Kai
  • Sun, Xingshen
  • Wang, Mincong
  • Zhang, Xiaoyu
  • Jiang, Lumeng

Abstract

The challenge of supply reliability allocation of natural gas pipeline network system cannot be solved by classical reliability allocation methods due to the complex mapping relationship between system supply reliability and unit reliability. In this paper, a composite allocation method for supply reliability allocation is proposed. Firstly, an evaluation indicator of supply reliability is established. The influencing factor and allocation principle of supply reliability are discussed. Secondly, hydraulic simulation is employed to calculate the system gas deficiency under different operating statuses. The contribution of unit operating status to system gas supply capacity are quantified. Thirdly, the influencing factor is prioritized, and influencing factors are further refined to evaluate unit technical ability. The scoring criteria is established, the comprehensive factor model is amended. Finally, a model for supply reliability allocation is established. To demonstrate the feasibility and superiority of the methodology, an example of a pipeline network in China is presented. The unit reliability requirement under system target reliability is clarified and system weak units are identified. The results demonstrate that the proposed composite allocation method is highly applicable to natural gas pipeline network. The majority of weak units are located in high operating load region, which is consistent with engineering.

Suggested Citation

  • Tang, Shuaishuai & Hou, Lei & Liu, Yueqi & Yang, Kai & Sun, Xingshen & Wang, Mincong & Zhang, Xiaoyu & Jiang, Lumeng, 2025. "Supply reliability allocation of natural gas pipeline network system based on composite allocation method," Reliability Engineering and System Safety, Elsevier, vol. 257(PB).
    • Handle: RePEc:eee:reensy:v:257:y:2025:i:pb:s0951832025000808
    DOI: 10.1016/j.ress.2025.110876
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