Mass service theory as a tool for finding solutions to reduce the duration of outages in rural electrical networks

It is known that rural electrical networks have mostly exhausted their operational life and re-quire massive reconstruction and modernization, which requires significant financial investments and is unlikely to be carried out in the near future. In such a situation, the operational maintenance system aimed at maintaining rural electrical networks in working condition acquires a special role. One of the important tasks of operation is to reduce the duration of power supply interruptions. Given the low level of automation of rural electrical networks, their significant exposure to adverse natural and climatic influences, and the high degree of wear of electrical network equipment, it should be noted that the availability of spare ele-ments in the reserve fund and the number of repair personnel involved in emergency recovery operations play a significant role in reducing the duration of emergency shutdowns. The most common methods of calculating spare elements in the practice of forming a reserve fund are the standard method based on de-termining the reserve stock depending on the units of equipment in operation, and the analytical method using the mathematical apparatus of the mass service theory (MST). Since there are specially developed tables for the practical application of the standard method. The analytical method of calculation requires certain mathematical calculations, which is not always convenient in operating practice. The article propo-ses a software product that allows automating calculations using the analytical method. Using the example of one of the electric grid companies, the calculation of the reserve fund of spare elements was carried out by both methods, the calculation results were compared, and conclusions were made. In case of mass faullts occurring under unfavorable climatic conditions in rural electrical networks, additional teams from other regions are attracted to reduce the duration of outages. The article proposes an algorithm for finding the optimal number of such teams, based on the provisions of the MST.