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Capacity allocation method of hydrogen-blending natural gas pipeline network based on bilevel optimization

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  • Qi, Shikun
  • Zhao, Wei
  • Qiu, Rui
  • Liu, Chunying
  • Li, Zhuochao
  • Lan, Hao
  • Liang, Yongtu

Abstract

Blending hydrogen into the natural gas pipeline network is an efficient approach for storing and delivering renewable energy. However, the variation in gas quality and the diversity of delivery paths can lead to difficulties in pipeline operation management. In this paper, we propose a bilevel optimization model to understand the influence of hydrogen blending on pipeline capacity allocation and gas transmission tariffs. The lower-level model optimizes the best capacity booking of each shipper, and the upper-level model optimizes the best capacity allocation of the transmission system operator. Detailed transmission paths and gas calorific values at each delivery point are taken into account to calculate the actual gas transmission tariffs. The proposed model is solved by the alternating direction multiplier method and validated by a real-world pipeline network. Results show that: (1) the proposed method can facilitate shippers to meet the energy demand under different hydrogen blending cases, (2) a fair-cost sharing is achieved among all parties, (3) when the hydrogen blending ratio reaches 5 %, the pipeline capacity can be optimally utilized to achieve the maximum pipeline capacity allocation. This approach can guide efficient gas pipeline capacity allocation and facilitate the establishment of trading platforms.

Suggested Citation

  • Qi, Shikun & Zhao, Wei & Qiu, Rui & Liu, Chunying & Li, Zhuochao & Lan, Hao & Liang, Yongtu, 2023. "Capacity allocation method of hydrogen-blending natural gas pipeline network based on bilevel optimization," Energy, Elsevier, vol. 285(C).
    • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028116
    DOI: 10.1016/j.energy.2023.129417
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    References listed on IDEAS

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    1. Alrobaian, Abdulrahman A. & Alsagri, Ali Sulaiman, 2024. "Analysis of the effect of component size and demand pattern on the final price for a green hydrogen production system," Energy, Elsevier, vol. 307(C).

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