Open Access
Issue
E3S Web Conf.
Volume 58, 2018
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2018)
Article Number 01012
Number of page(s) 7
Section Innovative Energy Technologies and their Impact on the Reliability of Energy Systems
DOI https://doi.org/10.1051/e3sconf/20185801012
Published online 10 October 2018
  1. Handbook on terminology in electric power industry. (М.: Printing house “KEM”, 2008) (in Russian) [Google Scholar]
  2. Kovalev G.F., Lebedeva L.M. Reliability of electric power systems. (Novosibirsk: Nauka, 2015) (in Russian) [Google Scholar]
  3. Chukreev Yu.Ya. Models for electric power system reliability support. (Syktyvkar, 1995) (in Russian) [Google Scholar]
  4. Wenyuan Li, Probabilistic Transmission System Planning (Wiley-IEEE Press, 2011) [Google Scholar]
  5. https://www.geenergyconsulting.com/practice-area/software-products/mars. [Google Scholar]
  6. Krupenev D.S., Boyarkin D.A., Iakubovskii D.V. Generation of random states of electric power systems for their reliability assessment by the Monte Carlo method. Reliability and safety in energy. V.10. No. 1. (2017) (in Russian) [Google Scholar]
  7. Renewables 2018 global status report (http://www.ren21.net/wpcontent/uploads/2018/06/178652_GSR2018_FullReport_web_-1.pdf) [Google Scholar]
  8. List of the selected RES projects (https://www.atsenergo.ru/vie/proresults) [Google Scholar]
  9. Krupenev D.S., Perzhabinsky S.M. Reliability assessment of electric power systems with wind power plants, Bulletin of the Russian Academy of Sciences. Energy. No. 2. (2017) (in Russian) [Google Scholar]
  10. https://www.jinkosolar.com/index.html?lan=en [Google Scholar]
  11. https://www.enercon.de/en/home/ [Google Scholar]

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