Abstract
Resilience is a key component of system safety evaluation and optimization, and research on natural gas pipeline network system (NGPNS) resilience indices and corresponding evaluation is still in early stages. To evaluate the resilience of NGPNS more synthetically and realistically, and to take into account different forms of disruptions, an integrated simulation model combining the topology and operational parameters is provided. The properties of deterministic disruptions, such as earthquakes and equipment breakdowns, are investigated. The maximum flow method and the shortest path method are combined with operational and structural parameters, to assess the amounts and routes of gas supply before and after disturbance; using complex networks theory and graph theory, the traditional view point is changed from the entire system to the affected area. The results can help guide NGPNS topological design and the development of prewarning schemes, including spare gas sources and gas route optimization, as well as pipeline maintenance strategy. They can also aid in the rapid analysis of disturbance consequences and the improvement of NGPNS resilience evaluating accuracy.
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References
Kammouh, O., Gardoni, P., Cimellaro, G.P.: Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks. Reliab. Eng. Syst. Saf. 198 (2020)
Cai, B., Zhang, Y., Wang, H., Liu, Y., Ji, R., Gao, C., et al.: Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance. Reliab. Eng. Syst. Saf. 209, 107464 (2021)
Marino, A., Zio, E.: A framework for the resilience analysis of complex natural gas pipeline networks from a cyber-physical system perspective. Comput. Ind. Eng. 162, 107727 (2021)
Rausand, M., Hoyland, A.: System Reliability Theory: Models, Statistical Methods, and Applications, vol. 396. John Wiley & Sons (2003)
Su, H., Zhang, J., Zio, E., Yang, N., Li, X., Zhang, Z.: An integrated systemic method for supply reliability assessment of natural gas pipeline networks. Appl. Energy 209, 489–501 (2018)
Cimellaro, G.P., Villa, O., Bruneau, M.: Resilience-based design of natural gas distribution networks. J. Infrastruct. Syst. 21(1), 1–14 (2015)
Hauser, P., Hobbie, H., Mst, D.: Resilience in the German natural gas network: modelling approach for a high-resolution natural gas system. In: European Energy Market (2017)
Carvalho, R., Buzna, L., Bono, F., Masera, M., Arrowsmith, D.K., Helbing, D.: Resilience of natural gas networks during conflicts, crises and disruptions. PLoS One 9(3) (2014)
Xueyi, L., Jinjun, Z., Huai, S., Zio, E.: Resilience assessment of China’s natural gas supply system based on ecological network analysis. In: 2019 4th International Conference System Reliability Safety, ICSRS 2019, pp. 402–406 (2019)
He, C., Dai, C., Wu, L., Liu, T.: Robust network hardening strategy for enhancing resilience of integrated electricity and natural gas distribution systems against natural disasters. IEEE Trans. Power Syst. 33(5), 5787–5798 (2018)
Di Maio, F., Matteo, F., Guerini, C., Federico, P., Zio, E.: Time-dependent reliability analysis of the reactor building of a nuclear power plant for accounting of its aging and degradation. Reliab. Eng. Syst. Saf. 205, 107173 (2021)
Lin, Y., Bie, Z.: Study on the resilience of the integrated energy system. Energy Procedia 103, 171–176 (2016)
Li, Y., Li, Z., Wen, F., Shahidehpour, M.: Minimax-regret robust co-optimization for enhancing the resilience of integrated power distribution and natural gas systems. IEEE Trans. Sustain. Energy 11(1), 61–71 (2020)
Shao, C., Shahidehpour, M., Wang, X., Wang, X., Wang, B.: Integrated planning of electricity and natural gas transportation systems for enhancing the power grid resilience. IEEE Trans. Power Syst. 32(6), 4418–4429 (2017)
Yan, M., He, Y., Shahidehpour, M., Ai, X., Li, Z., Wen, J.: Coordinated regional-district operation of integrated energy systems for resilience enhancement in natural disasters. IEEE Trans. Smart Grid 10(5), 4881–4892 (2018)
Praks, P., Kopustinskas, V., Masera, M.: Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure. Reliab. Eng. Syst. Saf. 144, 254–264 (2015)
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Yang, Z. et al. (2024). A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems. In: Li, S. (eds) Computational and Experimental Simulations in Engineering. ICCES 2023. Mechanisms and Machine Science, vol 145. Springer, Cham. https://doi.org/10.1007/978-3-031-42987-3_95
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DOI: https://doi.org/10.1007/978-3-031-42987-3_95
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