Improving the methods for managing the operational dependability of distributed energy facilities

Improving the management of the technical state of equipment, devices, and installations, whose service life exceeds the respective standard value, is a most important problem of national security, as their proportion already exceeds 60%. The paper presents the findings of an analysis of literature data in the respective subject area that confirms its relevance and significance. Importantly, the findings apply not only to electrical power systems, but to many other industrial systems as well. The primary difficulties associated with solving the problem at hand are, first and foremost, the small quantity of statistical data that characterise operational dependability, their multidimensional and random nature. The authors suggest solving the problem by abandoning average annual dependability indicators in favour of average monthly operational dependability indicators. The authors provide a brief description of the individual solutions as part of the overall problem as regards overhead power lines that together represent a new methodology for managing the technical state of distributed facilities. The research-intensive, cumbersome, and time-consuming calculation algorithms suggest employing intelligent systems. The management of the electrical power system and its individual business units is to receive monthly specialised forms with recommendations as to the ways of improving the dependability of overhead power lines by restoring wear and tear.