Improving the methods for managing the operational dependability of distributed energy facilities

Improving the management of the technical state of equipment, devices, and installations, whose service life exceeds the respective standard value, is a most important problem of national security, as their proportion already exceeds 60%. The paper presents the findings of an analysis of literature data in the respective subject area that confirms its relevance and significance. Importantly, the findings apply not only to electrical power systems, but to many other industrial systems as well. The primary difficulties associated with solving the problem at hand are, first and foremost, the small quantity of statistical data that characterise operational dependability, their multidimensional and random nature. The authors suggest solving the problem by abandoning average annual dependability indicators in favour of average monthly operational dependability indicators. The authors provide a brief description of the individual solutions as part of the overall problem as regards overhead power lines that together represent a new methodology for managing the technical state of distributed facilities. The research-intensive, cumbersome, and time-consuming calculation algorithms suggest employing intelligent systems. The management of the electrical power system and its individual business units is to receive monthly specialised forms with recommendations as to the ways of improving the dependability of overhead power lines by restoring wear and tear.

1. Berdnikov R.N., Dementiev Yu.A., Morzhin Yu.I. et al. [The main provisions of the concept of an intelligent energy system with an active adaptive network]. Energia yedinoy seti 2012;4(4):4- 11. (in Russ.)

2. [Safe Life Management of Nuclear Power Plants INSAG-14. Report of the International Nuclear Safety Group. INSAG Safety Series no. 14]. IAEA, Vienna; 2014.

3. Kuzmin A. Organizations to Ensure Safety of Dangerous Industrial Based on the Quantitative Estimation of its Security System. Civil Security Technology 2011;8(4(30):72-79. (in Russ.)

4. Abdrakhmanov N.Kh., Shaybakov R.A., Markov A.G. Information models of management of minimization of risks potentially hazardous production facilities. Mining informational and analytical bulletin 2015;57:729-736. (in Russ.)

5. Kolesnikov E.Yu., Anokhin V. V., Maslov E. F. [Main problems of emergency risk assessment methodology]. Pozharovzryvobezopasnost – Fire and Explosion Safety 2016;25(2):5–9. DOI: 10.18322/PVB.2016.25.02.5-9. (in Russ.)

6. Lisanov M.V, Pecherkin A.S., Sumskoy S.I., Shvyryayev A.A. Methodical ware and issues of emergency risk analysis at dangerous industrial facilities of the oil-and-gas complex. Gas Science Bulletin 2017;1(29):179-184. (in Russ.)

7. Lisanov M.V, Sumskoy S.I., Shvyryayev A.A. Uncertainties of the quantitative emergency risk assessment at oil-gas facilities. Gas Science Bulletin 2018;2(34):125-135. (in Russ.)

8. [Methodology for assessing the technical state of the essential process equipment and power transmission lines of power plants and electric grids]. Approved by the Order of the Ministry of Energy of the Russian Federation dated July 26, 2017 No. 676. (in Russ.)

9. [Methodological guidelines for calculating the probability of failures of a functional unit and a unit of basic process equipment and assessing the consequences of such failures]. Approved by Order No. 123 of the Ministry of Energy of the Russian Federation dated February 19, 2019. (in Russ.)

10. V Research and practical conference “Equipment condition monitoring of power engineering facilities”. ELECTRIC POWER. Transmission and distribution 2019;1(52):18-21 (accessed: 27.12.2024). Available at: https://eepir.ru/article/v-nauchno-prakticheskaya-konferenciya-kontroly-tehnicheskogo-sostoyaniya-oborudovaniyaobyektov-elektroenergetiki/. (in Russ.)

11. Modern Digital Technologies Used for Monitoring and Estimation of Power Object Technical Condition. ELECTRIC POWER. Transmission and distribution 2020;1(58):18-26 (accessed: 27.12.2024). Available at: https://eepir.ru/new/obzor-dokladov-vi-nauchno-prakticheskoy-konferencii-kontroly-tehnicheskogo-sostoyaniya-iobnarughenie-mest-povreghdeniy-oborudovaniya-podstanciy-vozdushnyh-i-kabelynyh-liniy. (in Russ.)

12. Fedorets A.G. [Using the modern risk management methodology in occupational health and safety management systems]. Bezopasnost i okhrana truda 2018;1:1-18. (in Russ.)

13. Antonenko I.N. [Analysing the risk-based approach to physical asset management]. Industrial Power Engineering 2020;10:57-60. (in Russ.)

14. Farkhadzade E.M., Muradaliyev A.Z., Abdullayeva S.A., Nazarov A.A. Automated Analysis of Service Life of Air-Lines of the Electricity Transmission of Electric Power Systems. Energetika. Proc. CIS Higher Educ. Inst. and Power Eng. Assoc. 2021;64(5):435-445. DOI: 10.21122/1029-7448-2021-64-5-435-445. (in Russ.)

15. Farkhadzade E.M., Muradalyiev A.Z., Muradalyiev S.A., Nazarov A.A. Assessment of technical condition of high-voltage overhead power transmission lines at the stage of their ageing. Safety and Reliability of Power Industry 2021;14(2):100-107. (in Russ.)

16. Farkhadzade E.M., Muradaliyev A.Z., Abdullayeva S.A. et al. [Quantitative estimation of the operating reliability of aerial power lines]. Elektricheskiye stantsii 2021;2:28-34. DOI: 10.34831/EP.2021.1081.8.004. (in Russ.)

17. Farkhadzade E.M., Muradaliyev A.Z., Abdullayeva S.A. Estimation, comparison and ranking of operational reliability indicators of overhead transmission lines of electric power systems. Reliability: Theory & Applications 2021;4(65):186-197. DOI: 10.24412/1932-2321-2021-465186-196.

18. Farkhadzade E.M., Muradalyiev A.Z., Abdullayeva S.A. Quantitative analysis of the operational reliability of overhead lines. Operativnoe upravlenie v elektroenergetike 2021;5:16-24. (in Russ.)

19. Farkhadzade E.M., Muradalyiev A.Z., Abdullayeva S.A. Improving of the operational management of the efficiency of distribution networks. Industrial Power Engineering 2021;12:16-23. DOI: 10.34831/EP.2021.77.85.002. (in Russ.)