Analysis of statistical data on power units of captive power plants from the perspective of reliability of gas industry enterprises

The fleet of power units within captive power plants (CPP) at gas industry enterprises, which ensure an uninterrupted power supply for electricity consumers involved in the extraction, transportation, storage, distribution, and processing of hydrocarbons, has been analyzed. The characteristics of their technical parameters are presented, and their operating conditions and modes are considered. Structural schemes for integrating CPPs into the general power system are described, including autonomous and parallel operation modes, allowing for the specifics of their application to be accounted for, considering the features of the facility’s power supply system and its reliability requirements.

Statistical data characterizing the operational parameters of the CPP power unit fleet have been processed and analyzed. The initial information includes the distribution of power units by rated capacity, length of service, and designation (primary, standby, emergency). The sample incorporated gas turbine, gas piston, and diesel power units, enabling an examination of various unit types and a comparative analysis based on the type of prime mover, power range, and operating conditions.

Analysis of quantitative distribution of power units showed that the overwhelming majority of CPPs are equipped with only one power unit, which reduces the reliability of power supply by increasing the probability of failures. The rise in failure probability is associated with the fact that a significant proportion of the power units has been in operation for more than 20 years. This extended service life underscores the necessity for timely maintenance and modernization.

The employed approach provides a foundation for formulating recommendations on the effective operation of electrical equipment, optimizing the structure of the power unit fleet, and planning repairs and modernization of CPPs based on actual performance indicators of the CPP power units. The results obtained can be applied in developing strategies for gas industry enterprises to improve the reliability and energy efficiency of electrical equipment, as well as to reduce operating costs.

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