Evaluating, comparing, and ranking operational reliability indicators of overhead transmission lines of electric power systems

The systematically growing proportion of equipment, devices, and installations (hereinafter referred to as entities) of electrical power systems, whose service life exceeds the standard value, and the consequences of that fact, some of which are unacceptable, require decisive measures to improve their efficiency. Today, the effort is focused on improving the methods of identifying and monitoring their technical state. In other words, the matters associated with improving the reliability and safety of operation naturally come to the fore. The authors suggest monitoring the technical state of overhead lines with a rated voltage of 110 kV or higher monthly based on the operational reliability indicators. New methods and algorithms for their assessment, comparison, and ranking are presented. Since the operational reliability indicators are multidimensional, the existing methods for comparing and ranking unidimensional statistical estimates are unacceptable, as neglecting the premises of such methods causes a significantly higher risk of a wrong decision. The proposed new methods are based on the fiducially approach, simulation, and the theory of statistical hypothesis testing. The awkwardness and labour intensity of manual calculation of operational reliability indicators and the scientific complexity of the calculation methods are compensated by the migration to automated systems that provide procedures and information on the technical state of overhead lines. The recommended methods are part of the group of risk-based approaches to improving the efficiency of electrical power systems.

1. Volkova I.O. Conception of network company’s asset management system creation in Russia on benchmarking base. π-Economy 2008;2:101-108. (in Russ.)

2. Karpov N.V. [A strategy for managing industrial assets of an electric grid company]. Herald of Omsk University. Series “Economics” 2019;17(2):112-123. DOI: 10.25513/1812-3988. (in Russ.)

3. Grabchak E.P. Assessment of technical condition of power equipment in conditions of digital economy. Safety and Reliability of Power Industry 2017;10(4):268-274. (in Russ.)

4. [Proceedings of the V Science and Practice Conference Monitoring the Technical State of Electric Power Facilities]. Moscow; 2018. (in Russ.)

5. [Proceedings of the VI Science and Practice Conference Monitoring the Technical State of Electric Power Facilities]. Moscow; 2019. (in Russ.)

6. Danilov G.A., Denchik Yu.M., Ivanov M.N., Sitnikov G.V. Gorelov V.P., Salnikov V.G., editors. [Improving the operational performance of power transmission lines. 3rd ed.]. Moscow; Berlin: Direct Media; 2019. (in Russ.)

7. [STO-34.01-24-003-2017. ROSSETI standard. Operational asset management system. Procedure for recording and classifying defects. Procedure for electronic logging of defects. Approved by the order of ROSSETI dated 04.21.2017 No. 212p.]. (in Russ.)

8. [STO-34.01-23.1-001-2017. ROSSETI standard. Scope and code for testing electrical equipment. Approved by the order of ROSSETI dated 05.29.2017 No. 280r.]. (in Russ.)

9. [STO-34-01-24-002-2018. ROSSETI standard. Organisation of maintenance and repair of electric power facilities. Approved by the order of ROSSETI dated 16.10.2018 No. 456r.]. (in Russ.)

10. [STO-34.01-35-001-2020. ROSSETI standard. Methodological guidelines for technical certification of substation equipment and power transmission lines. Approved by order of ROSSETI dated 12.21.2020 No. 418]. (in Russ.)

11. [RD 34.09.453. Standard algorithm for calculating key performance indicators of powerful heating power plants. (updated 01.01.2021)]. SPO Soyuztekhenergo; 1983. (in Russ.)

12. Farhadzadeh E.M., Muradaliyev A.Z., Rafiyeva T.K., Abdullayeva S.A. Fiducially approach in maintenance of homogeneous technical and economic parameters. Èlektron. model. 2020;42(1):13-24. DOI: 10.15407/emodel.42.01.013. (in Russ.)

13. Farhadzadeh E.M., Muradaliyev A.Z., Abdullayeva S.A. et al. Method and algorithm a comparison efficienty of gas and piston power stations of the electro power systems. Izvestiya RAN. Energetika 2019;2:106-117. DOI: 10.1134/S0002331019020067. (in Russ.)

14. Farhadzadeh E.M., Muradaliyev A.Z., Farzaliyev Y.Z., Abdullayeva S.A. Comparison and ranking of steam-turbine installations of thermal power-stations’ power-generating units by working efficiency. Thermal Engineering 2018;65(10):708-715.

15. Kaneh M.M., Ivanov B.V. et al. [Quality management systems, methods, and tools. 2-nd ed.]. St. Petersburg: Izd. Piter; 2017. (in Russ.)

16. Farkhadzade E.M., Muradaliyev A.Z., Rafiyeva T.K. et al. Ensuring the validity of methodical support for managing electric power system components. Elektrichestvo 2020;2:4-9. DOI: 10.24160/0013-5380-2020-2-4-9 (in Russ.)