ALGORITHM FOR CALCULATING THE RELIABILITY OF POWER SUPPLY SCHEMES USING CONNECTION COEFFICIENTS

The article considers a method of simplifying the forecasting of reliability parameters and assessment of the technical condition of the most responsible units of the power supply system with the help of connection coefficients. The purpose of the study is to develop a methodology for determining the probability of failure-free operation of a power supply scheme using connection coefficients. Materials and Methods. A scheme of 10/0.4 kV indoor power supply is presented. Probabilistic methods of determining reliability and mathematical statistics were used. Results of the study. The probability of failure-free operation in time was calculated using the exponential distribution law. The graphs of dependences of probability of system uptime on the number of load connections, as well as graphs of change of values of connection coefficients in time are presented. Formulas for load connection factors depending on the number of connections are derived. The derived analytical expressions allow modeling the values at possible additional load connections. The obtained dependencies allow to determine the probability of failure-free operation time of low-voltage electrical equipment, as well as the schemes of the in-house power supply. Conclusions. The proposed methodology simplifies the forecasting of reliability parameters of the scheme of in-house power supply and assessment of the technical condition of the most important and critical nodes. The modeled values of the load connection factors can be used in technical and economic calculations, namely to further increase the number of outgoing lines from the switch cabinet and distribution point or to increase the load per line, taking into account the permissible probability of failure-free operation of the circuit. The results of the study are recommended for the evaluation of technical indicators and determination of the main reliability parameters of the operating systems of the inplant power supply.

in-house power supply system, probability of uptime, distribution point, connection factor.

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2026-03-27