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Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability

Author

Listed:
  • Chen, Qian
  • Zuo, Lili
  • Wu, Changchun
  • Li, Yun
  • Hua, Kaixun
  • Mehrtash, Mahdi
  • Cao, Yankai

Abstract

To guarantee the gas delivery reliability of a gas pipeline system, some standby compressor units or standby powers are typically installed in a compressor station. A reasonable compressor standby scheme plays a vital role in the efficient operation of compressor stations. This paper presents two standby scheme optimization models considering various normal and failure scenarios for two standby modes: unit standby and power standby, respectively. The proposed models aim to maximize the gas delivery reliability subjected to rigorous operating constraints of a gas pipeline system and budget constraints (e.g., the total amount of standby power/ units). The resultant optimization models for power standby and unit standby schemes are large-scale nonlinear programming (NLP) and mixed-integer nonlinear programming (MINLP), respectively. In order to solve the unit standby optimization scheme efficiently, we decompose the original large-scale model into two sub-problems equivalently. The first sub-problem is to maximize the gas delivery flow rate under various scenarios based on determined compressor configurations. Based on the solutions from the first sub-problem, the second one is to optimize the standby scheme. Numerical results are provided to verify the effectiveness of the proposed approaches. It is demonstrated that the results of compressor standby optimization models can provide valuable information for the design and planning of gas pipeline systems.

Suggested Citation

  • Chen, Qian & Zuo, Lili & Wu, Changchun & Li, Yun & Hua, Kaixun & Mehrtash, Mahdi & Cao, Yankai, 2022. "Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:reensy:v:221:y:2022:i:c:s0951832022000308
    DOI: 10.1016/j.ress.2022.108351
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    References listed on IDEAS

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    Cited by:

    1. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2024. "Allocation and activation of resource constrained shock-exposed components in heterogeneous 1-out-of-n standby system," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    2. Wang, Guotao & Zhao, Wei & Qiu, Rui & Liao, Qi & Lin, Zhenjia & Wang, Chang & Zhang, Haoran, 2023. "Operational optimization of large-scale thermal constrained natural gas pipeline networks: A novel iterative decomposition approach," Energy, Elsevier, vol. 282(C).
    3. Yang, Kai & Hou, Lei & Man, Jianfeng & Yu, Qiaoyan & Li, Yu & Zhang, Xinru & Liu, Jiaquan, 2023. "Supply reliability analysis of natural gas pipeline network based on demand-side economic loss risk," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    4. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2023. "Co-optimizing component allocation and activation sequence in heterogeneous 1-out-of-n standby system exposed to shocks," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Wen, Kai & Lu, Yangfan & Lu, Meitong & Zhang, Wenwei & Zhu, Ming & Qiao, Dan & Meng, Fanpeng & Zhang, Jing & Gong, Jing & Hong, Bingyuan, 2022. "Multi-period optimal infrastructure planning of natural gas pipeline network system integrating flowrate allocation," Energy, Elsevier, vol. 257(C).

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