Open AccessClassification of integral indicators of EPS operational efficiency
Author(s) -
E M Farhadzadeh,
A Z Muradaliyev,
S. A. Abdullayeva,
У. К. Ашурова
Publication year - 2020
Publication title -
nadežnostʹ i bezopasnostʹ ènergetiki
Language(s) - English
Resource type - Journals
eISSN - 2542-2057
pISSN - 1999-5555
DOI - 10.24223/1999-5555-2020-13-3-218-224
Subject(s) - warranty , operational efficiency , reliability (semiconductor) , reliability engineering , operational risk , service (business) , risk analysis (engineering) , economic efficiency , computer science , performance indicator , operational costs , operations research , power (physics) , business , risk management , engineering , economics , physics , finance , marketing , quantum mechanics , political science , law , market economy
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.