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All issues Volume 209 (2020) E3S Web Conf., 209 (2020) 06021 References
Open Access
Issue
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
Article Number 06021
Number of page(s) 8
Section Session 5. Reliability of Fuel and Energy Supply to the Consumer, Energy Security
DOI https://doi.org/10.1051/e3sconf/202020906021
Published online 23 November 2020
  1. Han F. & Zio E. & Kopustinskas V. & Praks P. Quantifying the importance of elements of a gas transmission network from topological, reliability and controllability perspectives, considering capacity constraints. In book: Risk, Reliability and Safety: Innovating Theory and Practice, 2016, pp. 2565-2571. DOI 10.1201/9781315374987-389, [Google Scholar]
  2. Su H., Zio E., Zhang J. Li X. A systematic framework of vulnerability analysis of a natural gas pipeline network. Reliability Engineering & System Safe-ty, Volume 175, July 2018, Pages 79-91 https://doi.org/10.1016/j.ress.2018.03.006 [CrossRef] [Google Scholar]
  3. Jonsson H., Johansson J., Johansson H. Identifying critical components in technical infrastructure networks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2008. Vol. 222. No. 2. P. 235-243. https://doi.org/10.1243%2F1748006XJRR138 [CrossRef] [Google Scholar]
  4. Li T., Eremia M., Shahidehpour M., Interdependency of natural gas network and power system security, IEEE Transactions on Power Systems, 2008, vol. 23, 1817–1824. https://doi.org/10.1109/TPWRS.2008.2004739 [Google Scholar]
  5. Dokic S.B., Rajakovic N.Lj. Security Modelling of Integrated Gas and Electrical Power Systems by Analyzing Critical Situations and Potentials for Performance Optimization. Energy (2018), doi: 10.1016/j.energy. 2018.04.165. [Google Scholar]
  6. V. Kopustinskas, P. Praks. Identification of the main contributors to the security of supply in a gas transmission network. In: Probabilistic Safety Assessment and Management PSAM 14, September 2018, Los Angeles, USA. [Google Scholar]
  7. V. Kopustinskas, P. Praks. Bottleneck analysis of the gas transmission network using ProGasNet simulator. In Luca Podofillini et al. (ed.), Safety and Reliability of Complex Engineered systems; Proc. of ESREL’2015, Zurich 7-10 September 2015. Leiden, CRC Press/Balkema. [Google Scholar]
  8. P. Praks, V. Kopustinskas, M. Masera. Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure. Reliability Engineering and System Safety 144:254-264, (2015).P. Praks, V. Kopustinskas, M. Masera. “Monte-Carlo based reliability and vulnerability assessment of a natural gas transmission system due to random network component failures”, Sustainable and Resilient Infrastructure, Vol. 2(3), pp.97-107, (2017). [CrossRef] [Google Scholar]
  9. Senderov S., Edelev A. Formation of a list of critical facilities in the gas transportation system of Russia in terms of energy security. Energy, 2019, doi:10.1016/j.energy.2017.11.063. [Google Scholar]
  10. S.M. Senderov, S.V. Vorobev, Approaches to the identification of critical facilities and critical combinations of facilities in the gas industry in terms of its operability. Reliability Engineering & System Safety, Volume 203, 107046, 2020, doi: 10.1016/j.ress.2020.107046. [Google Scholar]
  11. Senderov S.M., Rabchuk V.I., Edelev A.V. Features of the formation of a list of critical objects of the gas transmission network of Russia, taking into account the requirements of energy security and possible measures to minimize the negative consequences of emergencies at such facilities / Izvestiya RAN. Energetika, 2016, No. 1, p. 70-78. [Google Scholar]
  12. Voropai N.I., Senderov S.M., Edelev A.V. Detection of ―bottlenecks‖ and ways to overcome emergency situations in gas transportation networks on the example of the European gas pipeline network. Energy, 2012, doi:10.1016/j.energy.2011.07.038. [Google Scholar]
  13. Edelev A.V., Enikeeva S.M., Senderov S.M. Information support in the study of the functioning of large pipeline systems / Computational technologies. - 1999. - Volume 4, No. 5. - P. 30 - 35. [Google Scholar]
  14. Vorobev S.V., Edelev A.V. Methodology for determining bottlenecks in the operation of large pipeline systems / Software products and systems. - 2014. - No. 3. - P. 174 - 177. [Google Scholar]
  15. Khramov A.V., Enikeeva S.M., Khrustaleva N.M. et al. Software and information support for solving the problems of survivability of the Unified Gas Supply System of the USSR // in Methods and models for studying the survivability of energy systems, Novosibirsk: Nauka, Sib. dep, 1990, p. 86-91. [Google Scholar]
  16. Ford L.R., Fulkerson D.R. Flows in Networks / Princeton University Press, Princeton, New Jersey, 1962, 276 p. [Google Scholar]
  17. S. Vorobev, A. Edelev, E. Smirnova, RSES 2017. E3S Web Conf. Vol. 25, DOI 10.1051 / e3sconf / 20172501004. (2017). [CrossRef] [EDP Sciences] [Google Scholar]
  18. Export of the Russian Federation of the most important goods in 2012 - 2019 (according to the Federal Customs Service of Russia) http://customs.ru/index.php?option=com_ newsfts&view =category&id=52&Itemid=1978&limitstart=60. [Google Scholar]
  19. InfoTEK Monthly oil and gas magazine. No. 1, 2019, p. 154. [Google Scholar]
  20. Ministry of Energy of the Russian Federation. Statistics. http://minenergo.gov.ru/activity/statistic. [Google Scholar]
  21. Jonsson H., Johansson J., Johansson H. Identifying critical components in technical infrastructure networks. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2008. Vol. 222. No. 2. P. 235-243. [CrossRef] [Google Scholar]
  22. Johansson J., Hassel H., Zio E. Reliability and vulnerability analyses of critical infrastructures: comparing two approaches in the context of power systems. Reliability Engineering & System Safety. 2013. No. 120. P.27-38. [Google Scholar]
  23. 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 Re-liability Study of Large Energy Systems (RSES 2017). E3S Web Conf. Volume 25, 2017. doi: 10.1051/e3sconf/20172501004. [CrossRef] [EDP Sciences] [Google Scholar]
  24. Feoktistov A., Gorsky S., Sidorov I., Kostromin R., Edelev A., Massel L. Orlando Tools: Energy Research Application Development through Convergence of Grid and Cloud Computing / Communications in Computer and Information Science. 2019. Vol. 965. P. 289-300. [CrossRef] [Google Scholar]
  25. Irkutsk Supercomputer Center SB RAS. URL: http://hpc.icc.ru [Google Scholar]
  26. Vorobev S., Smirnova E. Search of the most important combinations of gas industry objects from the positions of system operability, Rudenko International Conference ―Methodological problems in reliability study of large energy systems‖ (RSES 2019), E3S Web Conf. Vol. 139, 2019. doi: 10.1051/e3sconf/201913901016. [CrossRef] [Google Scholar]
  27. Senderov S.M., Smirnova E.M., Vorobev S.V. Approaches to assessing the vulnerability of fuel supply systems to gas-consuming regions of Russia in the context of the shutdown of especially significant facilities in the gas industry / Izvestia RAS. Energetika, No. 1, 2020, p. 82-91. [Google Scholar]

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