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 02002
Number of page(s) 6
Section Models and Methods for Assessing the Reliability of Intelligent Energy Systems
DOI https://doi.org/10.1051/e3sconf/20185802002
Published online 10 October 2018
  1. Methodical recommendations on designing the development of power systems. (Approved by Order of the Ministry of Energy of Russia of June 30, 2003, No. 281). M: Ministry of Energy of the Russian Federation, SO 153-34.20.118-2003. [Google Scholar]
  2. Wolkenau IM, Zeyliger AN, Khabachev LD Economics of the formation of electric power systems. -Moscow: Energoatomizdat. 1981. 320 s. [Google Scholar]
  3. Volkov G.A. Optimization of reliability of electric power systems. Moscow: Nauka, 1986. -117 p. [Google Scholar]
  4. Kovalev GF, Lebedeva LM Reliability of power systems. Novosibirsk: Science, 2015. -224 p. [Google Scholar]
  5. Chukreev Yu.Ya. Models for ensuring the reliability of electric power systems. Syktyvkar: Komi Scientific Center of the UrB RAS, 1995. -176 p. [Google Scholar]
  6. Chukreev Yu.Ya., Chukreev M.Yu. Models for estimating the indicators of balance reliability in the management of the development of electric power systems. Syktyvkar: Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences, 2014. – p.207 [Google Scholar]
  7. Billinton R., Allan R.N. Reliability Evaluation of Power Systems. Second Edition. New York and London, Plenum Press, 1996. p.509 [Google Scholar]
  8. Chukreev Yu.Ya. Provision of balance reliability in relation to the current conditions of long-term planning of the UPS of Russia // Methodological issues of reliability research of large energy systems. Issue.68. Irkutsk: Research and provision of reliability of energy systems ISEM SB RAS, 2017. p. 56–65. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.