Affiliation:
1. FSBEI “Irkutsk National Research Technical University”; FSBEI “Irkutsk State Agrarian University named after A. A. Yezhevsky”
Abstract
Analysis has been performed of the transmission of electric energy through the power distribution networks of PJSC Krasnoyarskenergosbyt over the period of 2016 – 2022. The structure of the company is considered, the characteristics of the main elements of the studied power networks are given, the degree of wear of the main electrical equipment is estimated. Based on the information from public media on the level of accidents in the company's power networks, an estimate has been made of the number of emergencies that occurred during the study period, the share of self-healing failures in the total amount of damage has been determined. The duration of interruptions of power supply to consumers, as well as the amount of undersupply of electric energy caused by these interruptions, has been estimated. The influence of the seasonal component on the number of emergencies during the study period is considered. Based on the data for the first half of 2022, the analysis of the main causes of damage to the elements of electrical networks has been performed. The classification of failures is made, with their main characteristics over the period under study considered. The possibility of using various methods of forecasting the reliability level of the power networks under consideration is evaluated. The results of the analysis of the use of statistical and cybernetic methods of preventive assessment of undersupply of electrical energy are presented. Based on the comparison of the results obtained, it is concluded that statistical methods are the most effective. The research uses general scientific methods, numerical methods of analysis, methods of the theory of electrical circuits, theories of mathematical statistics, data interpolation and forecasting. To visualize the results of the analysis, the technologies of the MATLAB graphics editor were used. The results obtained may be of interest to the heads of power grid companies, as well as researchers and engineers engaged in research in the field of reliability of power supply.
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