Везде

RAS Energy, Mechanics & ControlИзвестия Российской академии наук. Энергетика Bulletin of the Russian Academy of Sciences. Energetics

  • ISSN (Print) 0002-3310
  • ISSN (Online) 3034-6495

Justification of the Development Paths of the Gas Transportation Network in Emergency Situations in the Gas Industry

You can
PII
S0002331025040022-1
DOI
10.31857/S0002331025040022
Publication type
Article
Status
Published
Authors
S. V. Vorobev
  • Affiliation: Meleniyev Energy Systems Institute
Volume/ Edition
Volume / Issue number 4
Pages
16-27
Abstract
The existing structure of the gas transportation network of Russia is characterized by the presence of critically important objects, the loss of operability of which cannot be compensated by any of the previously considered measures. Therefore, it is necessary to justify the development of the gas transportation network with the creation of additional gas transportation capacities outside the arcs of the existing graph. This problem can be solved by segmenting the existing network into simple polygons with the possibility of creating arcs connecting previously unconnected nodes, i.e. polygons starting with a quadrangle are of interest. The specific cost of creating such arcs, in the first approximation, is an order of magnitude higher than the specific cost of creating additional arcs in the existing corridors of main gas pipelines. The authors of the article propose a mathematical model for solving this problem. The results of the study on the aggregated calculation scheme of the gas transportation network of Russia are presented, conclusions are made on the operability of the proposed approach.
Keywords
газовая отрасль критически важные объекты дефициты газа
Date of publication
14.09.2025
Year of publication
2025
Number of purchasers
0
Views
12

References

  1. 1. Аварии на магистральных газопроводах в России в 2018–2019 годах. https://ria.ru/20190728/1556953028.html
  2. 2. Топ-5 самых крупных и разрушительных аварий на газопроводах. https://sila-sibiri-rabota.ru/avarii-na-gazoprovodax
  3. 3. Cендеров С.М., Рабчук В.И., Еделев А.В. Особенности формирования перечня критически важных объектов газотранспортной сети России с учетом требований энергетической безопасности и возможные меры минимизации негативных последствий от чрезвычайных ситуаций на таких объектах / Известия Российской академии наук. Энергетика, 2016, № 1. С. 70–78.
  4. 4. Senderov S., Edelev A. Formation of a list of critical facilities in the gas transportation system of Russia in terms of energy security / Energy, 2017. https://doi.org/10.1016/J.ENERGY.2017.11.063
  5. 5. Vorobev S., Edelev A. Analysis of the importance of critical objects of the gas industry with the method of determining critical elements in networks of technical infrastructures / Management of Large-Scale System Development (MLSD), 2017 Tenth International Conference. IEEE, 2017. https://doi.org/10.1109/MLSD.2017.8109707
  6. 6. Vorobev S., Edelev A., Smirnova E. Search of critically important objects of the gas industry with the method of determining critical elements in networks of technical infrastructures / Methodological Problems in Reliability Study of Large Energy Systems (RSES2017). E3S Web Conf. Volume 25, 2017. https://doi.org/10.1051/e3sconf/20172501004
  7. 7. Senderov S., Kruppnev D. Energy security and critical facilities of energy systems: methodology and practice of their identification on the example of Russia's gas and electric power industries, Energy Systems Research. 2019. Т. 2. № 2 (6). P. 41–50.
  8. 8. Kрупенев Д.С. Принципы определения критически важных объектов электроэнергетических систем / Методические вопросы исследования надежности больших систем энергетики. Международный научный семинар им. Ю.Н. Руденко: В 2-х книгах. Отв. редактор Воропай Н.И., 2018. С. 329–337.
  9. 9. Krupenev D., Boyarkin D., Iakubovskii D. Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method, Reliability Engineering & System Safety. 2020. T. 204.
  10. 10. Senderov S., Vorobev S., Edelev A. Search of critically important combinations of objects of the gas industry from the positions of the system operability / Rudenko International Conference "Methodological problems in reliability study of large energy systems" (RSES2018). E3S Web Conf. Volume 58, 2018. https://doi.org/10.1051/e3sconf/20185803002
  11. 11. Sesini M., Giarola S., Hawkes A.D. The impact of liquefied natural gas and storage on the EU natural gas infrastructure resilience, Energy, Volume 209, 2020, 118367. https://doi.org/10.1016/j.energy.2020.118367
  12. 12. Jiang Q., Cai B., Zhang Y., Xie M., Liu C. Resilience assessment methodology of natural gas network system under random leakage. Reliability Engineering & System Safety, Volume 234, 2023, 109134. https://doi.org/10.1016/j.ress.2023.109134
  13. 13. Yu W., Song S., Li Y., Min Y., Huang W., Wen K., Gong J. Gas supply reliability assessment of natural gas transmission pipeline systems. Energy 2018, 162, p. 853-870.
  14. 14. Chi L., Su H., Zio E., Qadrdan M., Zhou J., Zhang L., Fan L., Yang Z., Xie F., Zuo L., Zhang J. A systematic framework for the assessment of the reliability of energy supply in Integrated Energy Systems based on a quasi-steady-state model. Energy, Volume 263, Part B, 2023, 125740. https://doi.org/10.1016/j.energy.2022.125740
  15. 15. Chi L., Su H., Zio E., Qadrdan M., Li X., Zhang L., Fan L., Zhou J., Yang Z., Zhang J. Data-driven reliability assessment method of Integrated Energy Systems based on probabilistic deep learning and Gaussian mixture Model-Hidden Markov Model. Renewable Energy. Volume 174, 2021, p. 952-970. https://doi.org/10.1016/j.renene.2021.04.102
  16. 16. Yu W., Huang W., Wen Y., Li Y., Liu H., Wen K., Gong J., Lu Y. An integrated gas supply reliability evaluation method of the large-scale and complex natural gas pipeline network based on demand-side analysis, Reliability Engineering & System Safety, Volume 212, 2021, 107651. https://doi.org/10.1016/j.ress.2021.107651
  17. 17. Thompson J.R., Frezza D., Necioglu B., Cohen M.L., Hoffman K., Rosfjord K. (2019). Inter-dependent Critical Infrastructure Model (ICIM): An agent-based model of power and water infrastructure. International Journal of Critical Infrastructure Protection. Volume 24, p. 144-165.
  18. 18. Kai L., Ming W., Weihua Z., Jinshan W., Xiaoyong Y. (2018). Vulnerability analysis of an urban gas pipeline network considering pipeline-road dependency. International Journal of Critical Infrastructure Protection Volume 23, p. 79-89.
  19. 19. Tichy L. (2019). Energy infrastructure as a target of terrorist attacks from the islamic state in Iraq and Syria. International Journal of Critical Infrastructure Protection. https://doi.org/10.1016/j.ijcip.2019.01.003
  20. 20. Tsavdaroglou M., Al-Jibouri S.H.S., Bles T., Halman, J.I.M. (2018). Proposed methodology for risk analysis of interdependent critical infrastructures to extreme weather events. International Journal of Critical Infrastructure Protection Volume 21, p. 57-71.
  21. 21. Praks P., Kopusfinskas V. (2019). Node importance analysis of a gas transmission network with evaluation of a new infrastructure by ProGasNet. CRITIS2018, LNCS11260, pp. 3-16, 2019. https://doi.org/10.1007/978-3-030-05849-4_1
  22. 22. Zio E., 2016. Challenges in the vulnerability and risk analysis of critical infrastructures. Reliability Engineering & System Safety, 152, pp. 137-150.
  23. 23. Zio E., 2009. Reliability engineering: Old problems and new challenges. Reliability Engineering & System Safety, 94(2), pp. 125-141.
  24. 24. Apostolakis G.E., 2004. How useful is quantitative risk assessment? Risk analysis, 24(3), pp. 515–520.
  25. 25. Liu H., Davidson R.A. and Apanasovich T.V., 2008. Spatial generalized linear mixed models of electric power outages due to hurricanes and ice storms. Reliability Engineering & System Safety, 93(6), pp. 897–912.
  26. 26. Cuadra L., Salcedo-Sanz S., Del Ser J., Jiménez-Fernández S. and Geem Z.W., 2015. A critical review of robustness in power grids using complex networks concepts. Energies, 8(9), pp. 9211–9265.
  27. 27. Ouyang M., 2014. Review on modeling and simulation of interdependent critical infrastructure systems. Reliability engineering & System safety, 121, pp. 43–60.
  28. 28. Wang S., Hong L. and Chen X., 2012. Vulnerability analysis of interdependent infrastructure systems: A methodological framework. Physica A: Statistical Mechanics and its applications, 391(11), pp. 3323–3335.
  29. 29. Johansson J., Hassel H. Modelling, simulation and vulnerability analysis of interdependent technical infrastructures. pp. 49–66 in Hokstad P, Utne IB, Vatn J (eds). Risk and Interdependencies in Critical Infrastructures: A Guideline for Analysis. London: Springer-Verlag, 2012.
  30. 30. Экспорт Российской Федерации важнейших товаров в 2012–2023 году (по данным ФТС России) http://customs.ru/index.php?option=com_newsfts&view=category&id=52&Itemid=1978&limitstart=60
  31. 31. ИнфоТЭК Ежемесячный нефтегазовый журнал. № 1, 2022 г. С. 150.
  32. 32. Министерство энергетики Российской Федерации. Статистика. http://minenergo.gov.ru/activity/statistic
QR
Translate

Индексирование

Scopus

Scopus

Scopus

Crossref

Scopus

Higher Attestation Commission

At the Ministry of Education and Science of the Russian Federation

Scopus

Scientific Electronic Library