Reliability assessment of autonomous power plants in electrical complexes of the gas industry

Reliability of autonomous power plants based on gas piston and gas turbine power units for auxiliary needs (APU) of gas industry enterprises is one of the key factors for ensuring uninterruptible power supply and efficient functioning of gas industry facilities. In modern economic conditions, stable operation of APU is important, and any failures can lead to significant financial losses and shutdown of production processes. Modern APU are complex technical systems that include various types of equipment. The article analyzes statistical data on failures that occur during operation of autonomous power plants for auxiliary needs of fuel and energy complex enterprises. Based on the data on the number of failures and mean time between failures (MTBF) of APU units from the beginning of operation, their statistical processing was carried out, and empirical dependencies of reliability indicators were established. The values of the probabilities of failure-free operation and the probability of failure, as well as the probability density functions of failures, were obtained. A hypothesis was put forward on the distribution of the average time to failure according to the Weibull distribution law. In accordance with the Pearson goodness-of-fit criterion, it was found that the obtained experimental data correspond to the theoretical model of the Weibull distribution. Based on the obtained statistical model of the mean time between failures, dependencies of the reliability indicators of the electric units of the APU were constructed. The Weibull distribution function proven during the study is the basis for further scientific research. 

1. Assessment of the role of the state in the management of mineral resources / V. S. Litvinenko, E. I. Petrov, D. V. Vasilevskaya [et al.] //Notes of the Mining Institute 2023; 259,: 95–111. – DOI 10.31897/PMI.2022.100.

2. The concept of development of energy of industrial facilities in the context of dynamic changes in the economic conditions of enterprises in the gas industry / V. A. Markelov, A. N. Bronnikov, A. A. Shapovalo [et al.] // Gas industry 2023; S3 (853): 8–11.

3. Abramovich B. N., Bogdanov I. A. Improving the efficiency of autonomous electrical complexes of oil and gas enterprises // Notes of the Mining Institute 2021; 249,: 408–416. – DOI 10.31897/PMI.2021.3.10.

4. On Amendments to the Rules for Technical Operation of Electric Power Plants and Grids of the Russian Federation, approved by Order of the Ministry of Energy of Russia dated October 4, 2022 No. 1070. Order of the Ministry of Energy of Russia dated November 29, 2024 No. 2321.

5. RD 34.45.-51.300-97. Scope and Standards for Testing Electrical Equipment. Moscow: Publishing House of the Scientific Center Enas, 2004,: 153.

6. STO 34.01-23.1-001-2017. Organization Standard "Scope and Standards for Testing Electrical Equipment", introduced by Order of PJSC Rosseti dated May 29, 2017 No. 280r.

7. Order of the Ministry of Energy of Russia dated October 25, 2017 No. 1013 "Rules for organizing the maintenance and repair of electric power facilities".

8. Experience in the development and practical application of safety guidelines in the field of accident risk assessment methodology at gas industry facilities / D. V. Ponomarenko, V. G. Veselkov, E. L. Gavrilenko, O. A. Andreeva, I. G. Volynets, R. R. Kantyukov [et al.] // Gas industry 2023; 8 (852): 94–98.

9. Aging management of transformers for normal operation systems of NPPs based on a risk-oriented approach / A. N. Nazarichev, D. A. Andreev, O. S. Melnikova, A. A. Pugachev // Power engineer 2022; 3: 7–13.

10. Zhitomirsky B. L., Lyapichev D. M., Zhukova E. A. Improving the energy efficiency of natural gas transportation in modern conditions // Proceedings of the Gubkin Russian State University of Oil and Gas 2023; 3 (312): 98–108. – DOI 10.33285 / 2073-9028-2023-3 (312)-98-108.

11. Improving the efficiency of auxiliary power plants of PJSC Gazprom by loading free generating capacities / A. S. Kaidash, T. F. Konoplev, I. S. Tokarev [et al.] // Gas industry. 2024; 5 (865): 100–105.

12. Resolution of the Government of the Russian Federation of 19.12.2016 No. 1401 "On the comprehensive determination of indicators of the technical and economic condition of electric power facilities, including indicators of physical deterioration and energy efficiency of electric grid facilities, and the procedure for monitoring such indicators" (Collected Legislation of the Russian Federation, 2016, 52, Art. 7665).

13. Order of the Ministry of Energy of Russia dated July 26, 2017 No. 676 "On approval of the methodology for assessing the technical condition of the main technological equipment and power transmission lines of electric stations and electric networks."

14. Order of the Ministry of Energy of Russia dated March 17, 2020 No. 192 "On Amendments to the Methodology for Assessing the Technical Condition of the Main Process Equipment and Power Transmission Lines of Electric Power Stations and Electric Grids, Approved by Order of the Ministry of Energy of Russia dated July 26, 2017 No. 676".

15. Tarasov V. A., Petrochenkov A. B., Kavalerov B. V. Computer Complex for Testing Gas Turbine Power Plants // Electrical Engineering 2017; 11: 55–60.

16. Order of the Ministry of Energy of Russia dated February 19, 2019 No. 123 "On Approval of Guidelines for Calculating the Probability of Failure of a Functional Unit and a Unit of Main Process Equipment and Assessing the Consequences of Such Failure".

17. Design Features of Gas Engines Manufactured by JSC RUMO and Their Application in Gas Piston Power Plants for the Russian Energy Industry / V. V. Denisenko, V. B. Shipov, S. E. Andrusenko [et al.] // Gas Industry 2023; S3 (853): 110–116.

18. Revyakin E. E., Sushkov V. V., Khamitov R. N. Study of Joint Operation of an Autonomous Gas Turbine Power Plant and a Generating Unit with Renewable Electricity Sources // Electrical and Information Complexes and Systems 2023; 19 (1): 14–23. – DOI 10.17122/1999-5458-2023-19-1-14-23.

19. Ensuring stable operation of autonomous power systems in the gas industry / I. S. Tokarev, A. N. Nazarichev, Ya. E. Shklyarsky, I. V. Skvortsov // Energetik 2024; 7: 15–19.

20. Modern technologies of relay protection and automation at the facilities of PJSC Gazprom / A. A. Shapovalo, S. A. Golovatov, D. N. Mizonov [et al.] // Gas industry 2023; S3 (853): 52–57.

21. Reference List. – Text: electronic // ZVEZDA-ENERGETIKA: [website]. – URL: https://www.zvec.ru/reference_list/reference.pdf?clckid=b25087d0 (date of access: 28.12.2024).

22. Ventzel E. S., Ovcharov L. A. Theory of random processes and its engineering applications – 5th edition. – Moscow: Yusticia 2018,: 448. – ISBN 978-5-4365-1903-6.

23. Melnikova O. S., Kuznetsov V. S. Method for calculating the electrical strength of oil channels of the main insulation of power transformers // Bulletin of the Ivanovo State Power Engineering University 2020; 5: 48 – 55. – DOI 10.17588/2072-2672.2020.5.048-055.

24. Dechgummarn Y., Fuangfoo P., & Kampeerawat W. (2023). Predictive Reliability Analysis of Power Distribution Systems Considering the Effects of Seasonal Factors on Outage Data Using Weibull Analysis Combined With Polynomial Regression. IEEE Access, 11, 138261–138278. https://doi.org/10.1109/ACCESS.2023.3340515

25. Gumbel E. J. Statistics of Extremes // Echo Point Books and Media, 2013 p. 396.

26. GOST R 50779.27-2017 (IEC 61649:2008). Statistical methods. Weibull distribution. Data analysis.