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The article analyzes the influence of parameters and operating modes of traction power supply system on the value of the useful energy recovery and the amount of electricity losses caused by the energy recovery through the traction power system to various consumers. The amount of energy lost in recuperation determines the degree of efficiency of its use. The approaches to the sequential determination of the recuperation energy efficiency and the calculation of the numerical values of the quantities characterizing the parameters of the traction power supply system, which are necessary for an adequate analysis of the energy distribution flow distribution, are proposed. It is determined that it is sufficient to use the regression analysis method to estimate the influence of the parameters and operating conditions of the traction power system on the energy efficiency of the recovery. The values of the relative resistance of the contact network are calculated depending on the type of the contact suspension, as well as on the traction network supply circuits. It is shown that the parameters and operating modes of traction power supply system affect the losses in the contact network, the losses in rectifier-inverter converters and traction transformers of direct current traction substations, the amount of energy recovery from tires of traction substations, as well as the relative change in losses in the system traction power supply with the use of regenerative braking.

The article outlines methodological approaches to assessing the effectiveness of measures aimed at improving the efficiency of recuperative braking application and the use of energy recovery. An example of calculating the energy efficiency of recuperation on a double-track section of direct current is given. The analysis of the influence of changes in such parameters of the section as technical and district speed of freight trains on the efficiency of energy recovery. The article presents the results of estimating the energy recovery components that form the economic efficiency of recuperation, and describes the approaches to predicting the change in this efficiency, depending on the change in the influencing factors.