Abstract
The paper deals with the accident rate of power electrical equipment of transformer substations of rural electric networks is studied depending on a number of factors, i.e. voltage class, service life, organizational and technical reasons for equipment damage as well as the type of equipment elements. The analysis was carried out on the basis of data for 2019 provided in the annual report of the branch of PJSC “Rosseti South”. In addition, the paper considers the information of patent documents in the subject area “Diagnostics of power electrical equipment” over the period of 2012-2019. The limited possibilities of the known methods for the purposes of operational forecasting of pre-emergency situations are shown. The feasibility of developing an intelligent data and measurement system for substations that supply electricity to remote agricultural facilities that uses complex diagnostic methods and provides operational forecasting of pre-emergency situations of transformer substations is justified.
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