Multi-period integrated scheduling optimization of complex natural gas pipeline network system with underground gas storage to ensure economic and environmental benefits

Jinghong Peng, Jun Zhou, Guangchuan Liang, Chengyu Li and Can Qin

Energy, 2024, vol. 302, issue C

Abstract: Underground gas storage plays a crucial role in ensuring the supply and demand balance of natural gas pipeline network. However, the peak shaving function of underground gas storage or its injection-withdrawal hydraulic characteristics are often overlooked in the optimization of pipeline network scheduling. This paper develops an integrated scheduling optimization model of complex natural gas pipeline network system with underground gas storage, which responds to multi-period consumer demand changes to balance supply and demand, while considering both economic and environmental benefits. The optimization model comprehensively considers the elements of underground gas storage, including reservoir, injection-withdrawal well, and compressor group. A mixed integer linear programming relaxation method combining the linearization of univariate and bivariate functions and convex relaxation of feasible regions is designed. The case study results show that underground gas storage peak shaving function can effectively compensate for gas supply shortage. Compared to the non-relaxation method, the relaxation method reduced the transportation and injection-withdrawal energy cost by 10.21 % and 15.89 %, and carbon emissions by 20,426 tons. Furthermore, the study analyzed the advantages of the comprehensive underground gas storage model, the coordinated injection-withdrawal strategies of multiple underground gas storages, and the response strategies under system abnormal conditions.

Keywords: Natural gas pipeline network; Underground gas storage; Scheduling optimization; Carbon reduction; Linearization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:302:y:2024:i:c:s0360544224016104

DOI: 10.1016/j.energy.2024.131837

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