Open Access
Issue
E3S Web Conf.
Volume 461, 2023
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems“ (RSES 2023)
Article Number 01026
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/202346101026
Published online 12 December 2023
  1. Voropai N.I. Survivability of EPS: methodologi-cal framework and methods of the research. Pro-ceedings of USSR Academy of Sciences. Energy and Transport 6, pp. 52-59 (1991) (in Russian). [Google Scholar]
  2. Demand management in the Russian electric power industry: opportunities opening up. Expert and analytical report/ ed. Opadchy F., Kholkin D. Moscow, 2019. Available at: https://www.so-ups.ru/fileadmin/files/company/markets/dr/publication/EnergyNet_2019.pdf [Google Scholar]
  3. Kuleshov M.A. (2019) Pilot project to create De-mand Response aggregators. Available at: https://www.so-ups.ru/fileadmin/files/company/markets/dr/present/2019/present_041219_kuleshov.pdf. [Google Scholar]
  4. Konceptsiya funktsionirovaniya agregatorov raspredelennykh energeticheskikh resursov v sostave Edinoj energeticheskoj sistemy Rossii. Agregatory upravleniya sprosom na elektroener-giyu [The concept of functioning of aggregators of distributed energy resources as part of the Uni-fied Energy System of Russia. Aggregators of electricity demand management] Available at: https://www.so-ups.ru/fileadmin/files/company/markets/dr/docs/dr_agregator_concept.pdf [Google Scholar]
  5. Byk F.L., Myshkina L.S. Aggregator – an element of digital transformation of the regional network. Proc. of 91st Int. Scientific Workshop on Meth-odological Problems in Reliability Study of Large Energy Systems Vol. 70, pp. 144-152 (2019) (in Russian). [Google Scholar]
  6. Voropai N.I., Kolosok I.N., Korkina E.S., Osak A.B. Problemy uyazvimosti i zhivuchesti kiber-fizicheskih elektroenergeticheskikh sistem [Prob-lems of vulnerability and survivability of cyber-physical electric power systems]. Energetich-eskaya politika, 5, pp. 53-61 (2018) [Google Scholar]
  7. Berman A.F., Pavlov N.Y., Nikolaychuk O.A. the method for synthesis and analysis of “failure trees" based on the concepts of mechanism and events kinetics. Issues of Risk Analysis, Vol. 15, 3, pp. 62-77 (2018) (in Russian) Available at: https://doi.org/10.32686/1812-5220-2018-15-3-62-77. [Google Scholar]
  8. Guk Yu.B. Rashchet nadezhnosti electroenerget-icheskih ustanovok, Leningrad, Energoatomizdat, 224 p. (1988) [Google Scholar]
  9. Ryabinin IA On the relationship of mathematical logic with the theory of probability. Scientific notes. Saint-Petersburg 6, pp.70-176 (2008) [Google Scholar]
  10. Reliability of technical systems and man-made risk. Event tree. Available at: http://www.obzh.ru/nad/6-9.html [Google Scholar]
  11. Diakov A.F., Stennikov V.A., Senderov S.M. et al.; Reliability of energy systems: Problems, models and methods for solving them/ ed. By N.I. Voropai // Novosibirsk: Nauka, 284 p. (2014) [Google Scholar]
  12. Kolosok, I., Korkina, E. Selection of prosumers in the structure of the demand response aggregator by analytical methods. ELECTRIC POWER. Transmission and Distribution. Vol. 3, 66, pp.22-28 (2021) [Google Scholar]
  13. Kolosok, I., Korkina, E. Application of net-centric management to the structure of the elec-tricity demand aggregator. Industrial power engi-neering 12, pp.2-8 (2020). [Google Scholar]
  14. Kudzh S.A., Tsvetkov V.Ya. Network-centric control and cyber-physical systems. Educational Resources and Technologies, Vol. 2(19), pp. 86-92 (2017) (in Russian). [CrossRef] [Google Scholar]
  15. I. Kolosok, E. Korkina. Applying the principles of cyber-physical management to Demand Response Aggregator structure // IFAC Papers OnLine, Vol. 50, 9, p. 198-203 (2022) [CrossRef] [Google Scholar]
  16. Mozhaev A.S., Gladkova I.A. Software package for automated structural and logical modeling of complex systems (ПКАСМ 2001). Registration certificate № 2003611099 [Google Scholar]

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