Formation of a Scale of Repair Priorities for Electric Power Equipment of an Industrial Enterprise Based on the Analysis of Statistical Data

The article is devoted to conceptual methods for determining the priority of performing maintenance and repair of equipment of the electric power infrastructure of an industrial enterprise, as an important factor in managing the company’s fixed assets. A computational procedure for a comprehensive comparative assessment of the criticality of performing maintenance on individual units of the same type of equipment is presented and described in order to rationalize the operating and investment budgets of an enterprise using the example of an electric power facility of JSC “Vyksa metallurgical plant”. The results of the approbation of the proposed computational procedure are presented, which made it possible to distribute the volume of the repair program of the same type of electrical equipment of the enterprise, taking into account the magnitude of its impact on the continuity of the technological process.

The purpose of the study. Performing an assessment of the economic efficiency of the implemented maintenance and repair programs for the fleet of the same type of equipment of the electric power infrastructure of an industrial enterprise and making their rating based on the application of an original computational procedure for a comprehensive comparative assessment using weighting coefficients – indexes.

Materials and methods. To carry out this research, the author applied the method of a comprehensive comparative assessment of the economic efficiency of maintenance and repair programs applied to the same type of equipment of the electric power infrastructure of the enterprise. The assessment was carried out using two weighting coefficients – indicators: the “criticality coefficient” and the “damage coefficient”. The collection of the initial data necessary for the study was carried out based on the analysis of the operable, dispatch, accounting, operational, technical and financial reporting documentation of the industrial enterprise unit operating and maintaining the equipment fleet in question. The author applied the following methods of processing the data collected during the study: rating assessment, normalization and generalization of results. The results of the study are presented using the graphical method.

Results. The level of technical and economic impact on the production process was assessed for each evaluated group of the same type of equipment of the power supply unit of an industrial enterprise included in the sample. The evaluation results can be useful in determining the priority of maintenance, allocation of operational and investment financial resources.

Conclusion. Applying the proposed comprehensive assessment system and testing it, when determining repair priorities on the existing equipment of the electric power infrastructure of the industrial enterprise of JSC “Vyksa metallurgical plant”, groups of individual units of electric grid equipment with a higher criticality were identified in comparison with other sample units, while receiving a standardized volume of technical maintenance and units with a minimum level of criticality are determined, the complete abandonment of technical maintenance of which, in the medium term, will in no way affect the technical and economic indexes of the technological process implemented at the enterprise. The study revealed that there is a reserve for improving the efficiency of operating the equipment of the electric power infrastructure of an industrial enterprise by reducing the maintenance costs of certain least critical units.

1. Ancharova T.V., Bodrukhina S.S. Spravochnik po energosnabzheniyu i elektrooborudovaniyu promyshlennykh predpriyatiy i obshchestvennykh zdaniy = Handbook of power supply and electrical equipment of industrial enterprises and public buildings - Ed. S.I. Gamazin et al. Moscow: MPEI; 2010. 745 p. (In Russ.)

2. Levin V.M., Guzhov N.P., Chernenko N.A., Yakh’ya A.A. Methodology for managing equipment repairs in electrical networks of oil fields. Nauchnyy vestnik Novosibirskogo gosudarstvennogo tekhnicheskogo universiteta = Scientific Bulletin of the Novosibirsk State Technical University. 2020; 2-3(79): 139–155. DOI: 110.17212/1814-1196-2020-2-3-139-155. (In Russ.)

3. Antonenko I.N. Risk-oriented approach to managing production assets in the energy sector. Energoekspert = Energoexpert. 2020; 1(23): 26–33. (In Russ.)

4. Sekretarev Yu.A., Levin V.M. Risk-oriented models for managing equipment repairs in power supply systems with a single consumer. Zhurnal Sibirskogo federal’nogo universiteta. Tekhnika i tekhnologii = Journal of the Siberian Federal University. Engineering and Technology. 2021; 14(1): 17–32. DOI: 10.17516/1999-494X-0295. (In Russ.)

5. Levin V.M., Guzhov N.P. Predictive assessment of the risks of power supply interruption to oil production consumers, taking into account changes in significant factors. Izvestiya vysshikh uchebnykh zavedeniy. Problemy energetiki = News of higher educational institutions. Problems of energy. 2022; 24; 5: 84-96. DOI: 10.30724/1998-9903-2022-24-5-84-96. (In Russ.)

6. Khayder S., Finkel’shteyn M., Lisanov M.V. et al. Foreign experience in using a risk-based approach in the operation of technical devices at oil and gas facilities. Bezopasnost’ truda v promyshlennosti = Occupational Safety in Industry. 2015; 8: 24-30. (In Russ.)

7. Ovchinnikova T.I., Pototskiy Ye.P., Firsova V.M. Risk-based approach to hazard assessment in the mining industry. Gornyy informatsionno-analiticheskiy byulleten’ = Mining Information and Analytical Bulletin. 2021; 2–1: 199- 208. DOI: 10.25018/0236-1493-2021-21-0-199-208. (In Russ.)

8. Hashemi-Dezaki H., Askarian-Abyaneh H., Haeri- Khiavi H. Reliability optimization of electrical distribution systems using internal loops to minimize energy not-supplied (ENS). Journal of Applied Research and Technology. 2015; 13(3): 416–424. DOI: 10.1016/j.jart.2015.07.008.

9. Brown R.E., Frimpong G., Willis H.L. Failure rate modeling using equipment inspection data. IEEE Transactions on Power Systems. 2004; 19(2): 782–787. DOI: 10.1109/TPWRS.2004.825824.

10. Zhirkin Yu.V. Nadezhnost’, ekspluatatsiya i remont metallurgicheskikh mashin = Reliability, operation and repair of metallurgical machines. Moscow: Teplotekhnik; 2009. 330 p. (In Russ.)

11. Chichenev N.A. Nadezhnost’ tekhnologicheskikh mashin = Reliability of technological machines. Moscow: NUST MISIS; 2019. 264 p. (In Russ.)

12. Dukhanina Ye. V., Khametova A. T. Implementation of a risk-oriented approach to managing the investment and construction process [Internet]. Vestnik yevraziyskoy nauki = Bulletin of Eurasian Science. 2023; 15: 2. Available from: https://esj.today/PDF/10SAVN223.pdf. (In Russ.)

13. Karpov M.V. Methodology for Assessing Damage from Failure of Power Grid Equipment in the Production Asset Management System. Vestnik Omskogo universiteta. Seriya «Ekonomika» = Bulletin of Omsk University. Series «Economics». 2018; 3(63): 29-37. DOI: 10.25513/1812-3988.2018.3.29-37. (In Russ.)

14. Gitelman L.D., Kozhevnikov M.V., Chebotareva G.S. et al. Asset Management of energy company based on risk-oriented strategy. Energy Production and Management in the 21st Century IV. 2020; 246: 125–135. DOI: 10.2495/EPM200121.

15. Sukharev D.YU. Assessment of Reserves for Improving the Efficiency of Maintenance and Repair Systems for High-Voltage Electrical Equipment of Industrial Enterprises. Ekonomika promyshlennosti = Industrial Economics. 2023; 16(2): 190–200. DOI: 10.17073/2072-1633-2023-2-190-200. (In Russ.)