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Classification of integral indicators of EPS operational efficiency

https://doi.org/10.24223/1999-5555-2020-13-3-218-224

Abstract

It becomes more and more obvious that focusing solely on economic efficiency is not a good strategy for business development. Moreover, a quantitative assessment of the integral operation indicators, including complex indicators of efficiency, environmental performance and safety, can help to protect a business against possible bankruptcy [1]. In the electric power industry, this is reflected in the modified concept of operational efficiency (OE). OE is not only the usual economic efficiency, but also operational reliability and safety. There is a good reason for such modification of the concept. In electric power systems (EPS), the actual service life of about 60% of the main equipment, devices and installations exceeds the rated value. We shall refer to such equipment as “overage facilities” (OF). The failure of such OF is the main cause of unacceptable system emergencies. During the rated service life of EPS, only a quantitative assessment of operational economic efficiency is performed. Operational reliability and safety (for example, the average monthly values) are not calculated, since they are guaranteed by the manufacturer. However, after the warranty period is over, operators still do not evaluate complex indicators of operational reliability and safety, since there is no methodology for their assessment. Moreover, it is necessary to be able to calculate the integral OE indicators which reflect the actual values of economic efficiency, operational reliability and safety. It can significantly reduce the risk of mistakes when choosing the methods for organizing operation, maintenance and repair. Then, decisions will be made based on comparing these integral indicators. The random nature of changes in technical and economic indicators (TEI) is determined by the random nature of changes in the integral OE indicators. The article presents new methods and algorithms for determining the feasibility of classifying the integral OE indicators of OF.

About the Authors

E. M. Farhadzadeh
Azerbaijan Scientific-Research and Design-Prospecting Institute of Energetic
Azerbaijan
AZ1012, Ave. H. Zardabi-94, Baku, Azerbayjan


A. Z. Muradaliyev
Azerbaijan Scientific-Research and Design-Prospecting Institute of Energetic
Azerbaijan
AZ1012, Ave. H. Zardabi-94, Baku, Azerbayjan


S. A. Abdullayeva
Azerbaijan Scientific-Research and Design-Prospecting Institute of Energetic
Azerbaijan
AZ1012, Ave. H. Zardabi-94, Baku, Azerbayjan


U. K. Ashurova
Azerbaijan Scientific-Research and Design-Prospecting Institute of Energetic
Azerbaijan
AZ1012, Ave. H. Zardabi-94, Baku, Azerbayjan


References

1. Online conference. Responsible business in solving global problems. – RBK Trends. https://trends.rbc.ru/trends/green/5ee8a4689a794786afd8ea61

2. Farhadzadeh E. M., Farzaliyev Y. Z., Muradaliyev A. Z. Assessment of the feasibility of classifying multidimensional data for a given criterion. Kiev, Electronic modeling 2015; 2: 77 – 85.

3. Farhadzadeh E. M., Farzaliev Y. Z., Muradaliyev A. Z. Comparison of indicators of averaged and individual reliability of equipment in electric power systems. M:, Electricity 2015; 12: 31 – 37.

4. Demin S. E., Demina E. L. Mathematical statistics: uch. method. Benefit. Nizhniy Tagil, NTI UFU 2016;: 284.

5. Farhadzadeh E. M., Muradaliyev A. Z., Farzaliyev Y. Z. Distribution of a sample of a continuous random variable Kiev, Electronic modeling 2015; 6: 69 – 82.


Review

For citations:


Farhadzadeh E.M., Muradaliyev A.Z., Abdullayeva S.A., Ashurova U.K. Classification of integral indicators of EPS operational efficiency. Safety and Reliability of Power Industry. 2020;13(3):218-224. (In Russ.) https://doi.org/10.24223/1999-5555-2020-13-3-218-224

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ISSN 1999-5555 (Print)
ISSN 2542-2057 (Online)