Reliability assessment of autonomous power plants in electrical complexes of the gas industry

Reliability of autonomous power plants based on gas piston and gas turbine power units for auxiliary needs (APU) of gas industry enterprises is one of the key factors for ensuring uninterruptible power supply and efficient functioning of gas industry facilities. In modern economic conditions, stable operation of APU is important, and any failures can lead to significant financial losses and shutdown of production processes. Modern APU are complex technical systems that include various types of equipment. The article analyzes statistical data on failures that occur during operation of autonomous power plants for auxiliary needs of fuel and energy complex enterprises. Based on the data on the number of failures and mean time between failures (MTBF) of APU units from the beginning of operation, their statistical processing was carried out, and empirical dependencies of reliability indicators were established. The values of the probabilities of failure-free operation and the probability of failure, as well as the probability density functions of failures, were obtained. A hypothesis was put forward on the distribution of the average time to failure according to the Weibull distribution law. In accordance with the Pearson goodness-of-fit criterion, it was found that the obtained experimental data correspond to the theoretical model of the Weibull distribution. Based on the obtained statistical model of the mean time between failures, dependencies of the reliability indicators of the electric units of the APU were constructed. The Weibull distribution function proven during the study is the basis for further scientific research.