EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 584 (2024) E3S Web Conf., 584 (2024) 01021 References
Open Access
Issue
E3S Web Conf.
Volume 584, 2024
Rudenko International Conference “Methodological Problems in Reliability Study of Large Energy Systems” (RSES 2024)
Article Number 01021
Number of page(s) 6
DOI https://doi.org/10.1051/e3sconf/202458401021
Published online 06 November 2024
  1. Energy Strategy of the Russian Federation Until 2035. Approved by Government Decree N° 1523-r of June 9, 2020. [Google Scholar]
  2. GOST R 55.0.05-2016. Asset Management. Enhancing Safety and Reliability of Assets. Requirements. Moscow: Standardinform, 2016. [Google Scholar]
  3. Government Decree N° 1401 of December 19, 2016 on the Comprehensive Definition of Technical and Economic Indicators of Electric Power Facilities, including Indicators of Physical Wear and Energy Efficiency of Electrical Network Assets, and Monitoring of Such Indicators. [Google Scholar]
  4. Order of the Ministry of Energy of the Russian Federation N° 676 of July 26, 2017 “On Approval of the Methodology for Assessing the Technical Condition of Major Technological Equipment and Power Transmission Lines of Electric Power Stations and Electrical Networks”. [Google Scholar]
  5. Order of the Ministry of Energy of the Russian Federation N° 123 of February 19, 2019 “On Approval of Methodological Recommendations for Calculating the Probability of Failure of Functional Units and Major Technological Equipment and Assessing the Consequences of Such Failures”. [Google Scholar]
  6. GOST R 27.010-2019 Reliability in Engineering. Mathematical Expressions for Indicators of Failure Rate, Readiness, and Maintainability. [Google Scholar]
  7. GB DNO Groups, Health & Criticality - Version 2.1, 2021. DNO Common Network Asset Indices Methodology. [Google Scholar]
  8. Naderian, A., Piercy, R., Cress, S., Service, J., Wang, F., 2009. An Approach to Power Transformer Asset Management Using Health Index. IEEE Electrical Insulation Magazine, 25 (2), 2. [CrossRef] [Google Scholar]
  9. Scatiggio, F., Pompili, M., 2013. Health Index:The TERNA’s Practical Approach for Transformers Fleet Management. IEEE Electrical Insulation Conference (EIC), 178-182. [Google Scholar]
  10. Vermeer, M., Wetzer, J., van der Wielen, P., de Haan, E., de Meulemeester, E., 2015. Asset Management Decision Support Modeling, Using a Health and Risk Model. PowerTech, IEEE. Eindhoven, 1-6. [Google Scholar]
  11. Order of the Ministry of Energy of the Russian Federation N° 90 of March 2, 2010 (as amended on July 27, 2017) “On Approval of the Form of the Act on Investigation of Causes of Accidents in the Electric Power Industry and the Procedure for Its Completion”. [Google Scholar]
  12. Grabchak, E.P. Assessment of the technical condition of energy equipment in the context of the digital economy. Reliability and Safety of Energy. 2017;10(4):268-274. [Google Scholar]
  13. Vodenikov, D. Technical Condition of Electrical Equipment:Assessment Methods. Electric Power. Transmission and Distribution. Special Issue “Rosseti” K 4(15), 2019 - P. 8-11. [Google Scholar]
  14. Nepomnyashchy, V.A. Reliability of Power System Equipment. Publishing House of the Journal “Electric Power. Transmission and Distribution”, 2013, 196 pages. [Google Scholar]
  15. Order of the Ministry of Energy of the Russian Federation N° 1256 of November 29, 2016 “On Approval of Methodological Recommendations for Calculating the Reliability and Quality Indicators of Supplied Goods and Services for the Organization Managing the Unified National (AllRussian) Electric Grid and Territorial Network Organizations”. [Google Scholar]
  16. Order of the Ministry of Energy of the Russian Federation N° 976 of October 18, 2017 “On Approval of Basic Values for Reliability Indicators, Allowable Deviation Coefficients for Actual Reliability Indicators from Planned Values, and Maximum Dynamics of Improvement of Planned Reliability Indicators for Groups of Territorial Network Organizations with Comparable Economic and Technical Characteristics and/or Operating Conditions, Using the Analog Comparison Method”. [Google Scholar]
  17. Order of the Federal Tariff Service of the Russian Federation N° 254-e/1 of October 26, 2010 “On Approval of Methodological Recommendations for Calculating and Applying Reducing (Increasing) Coefficients to Ensure Compliance of Tariff Levels Established for Organizations Conducting Regulated Activities with the Level of Reliability and Quality of Supplied Goods and Services” (Registered with the Ministry of Justice of the Russian Federation on November 13, 2010, X> 18951). [Google Scholar]
  18. Proposal for Tariff Levels, Long-Term Regulation Parameters (type of price (tariff):service for electricity (capacity) transmission for 2024 by Public Joint-Stock Company “Rosseti Moscow Region”. https://rossetimr.ru/upload/iblock/fd6/5bb2xbf748mr88rinozs6tbvof37f2io/predlogenie-M-2024.pdf. [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.