Open Access
E3S Web Conf.
Volume 58, 2018
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2018)
Article Number 02010
Number of page(s) 4
Section Models and Methods for Assessing the Reliability of Intelligent Energy Systems
Published online 10 October 2018
  1. Nepomnyashchy V. A. Reliability of work of elements of electric networks of 1150-35 kV / / Energoekspert. 2012. №4. p. 26–40. [Google Scholar]
  2. Polovko A. M., Gurov S. V. Fundamentals of reliability theory. 2nd Ed., Rev. and extra – SPb.: BHV-Petersburg, 2006. – P.43–45. [Google Scholar]
  3. Pruss V. L., Tislenko V. V. Improving the reliability of rural electrical networks. – L.]. Leningr. otd., 1989 – p.208 [Google Scholar]
  4. Tereshko O. A. Innovative methods of control of reliability of distribution electric networks / / Methodical questions of research of reliability of big systems of power: Collection of scientific. art / Ed. N. I. Voropay, M. A. Korotkevich, A. A. Mikhalevich. Minsk: publishing House of BSTU, 2015. - Issue. 66. - C. 206–210. [Google Scholar]
  5. IEEE Guide for Electric Power Distribution Reliability Indices - Redline ,” in IEEE Std 1366-2012 (Revision of IEEE Std 1366-2003) Redline, vol., no., pp.1–92, May 31 2012 [Google Scholar]
  6. M. Papic and R. N. Allan, “Comparison of alternative techniques for the reliability assessment of distribution systems,” 1991 Third International Conference on Probabilistic Methods Applied to Electric Power Systems, London, 1991, pp. 174–179 [Google Scholar]
  7. R. Allan and R. Billinton, “Power system reliability and its assessment. III. Distribution systems and economic considerations,” in Power Engineering Journal, vol. 7, no. 4, pp. 185–192, Aug. 1993. [CrossRef] [Google Scholar]
  8. P. K. Goswami, S. Chowdhury, S. P. Chowdhury, Y. H. Song and J. K. Das, “Reliability evaluation of distribution system,” 2007 42nd International Universities Power Engineering Conference, Brighton, 2007, pp. 158–166 [CrossRef] [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.