E3S Web of Conf.
Volume 216, 2020Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|Number of page(s)||6|
|Published online||14 December 2020|
- D. Krupenev, A. Nazarychev, Reliabilityand assessmenot tfhetechnicacl onditionoef quipmenftor powersupplysystems: atutorial. Novosibirsk: Science 224 p. (2020) (In Russia) [Google Scholar]
- G. Kovalev, L. Lebedeva, ReliabilityoPf ower Systems/Springer Cham; 1st ed., 237 (2019) [CrossRef] [Google Scholar]
- Billinton R., Li W, Reliability Assessment of Electric Power Systems Using Monte Carlo Methods /Springer; 361p. (1994) [Google Scholar]
- D. Krupenev, D. Boyarkin, D. Iakubovskii, Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method Reliability Engineering and System Safety, 204. ID: 107171. (2020) [Google Scholar]
- P. Alekseev, Accident rate is an indicator of accidents in the power industry. Calculation method. Presentation of JSC “SO UES” (2017) (In Russia) [Google Scholar]
- A. Abdurakhmanov, S. Glushkin, V.Plotnikov, A.Shutov, Once again about the characteristics of the reliability of the elements of electrical networks. On Sat. Methodological issues of research on the reliability of large energy systems.Vol. 69. Reliability of developing energy systems Book 1. Irkutsk: ISEM SB RAS. 38–48 p. (2018) (In Russia) [Google Scholar]
- A. Nepomnyashchy, Power system equipment reliability. M.: Publishing house of the journal “ELECTRICENERGYT. ransmissionandDistribution” 196 p. (2013) (In Russia) [Google Scholar]
- V. Ershevich, A. Zeiliger, G. Illarionov, Ed. Rokotyana S.S., Shapiro I.M. M:Energoatomizdat. Handbook for the design of electrical power systems. 352 (1985) (In Russia) [Google Scholar]
- Order of the Ministry of Energy of Russia dated February 28, 2018 No. 121 “On approval of the scheme and program for the development of the Unified Energy System of Russia for 2018-2024” (In Russia) [Google Scholar]
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