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With the advent of new series of locomotives, the development of heavy freight trains, the increasing speeds of passenger trains, the introduction of innovative technical means and technologies, the degree of influence of various indicators on energy consumption is redistributed. The aim of the article is to develop a methodology for monitoring the efficiency of locomotives when changing the set of operational factors. This will make it possible to more accurately determine the estimated change in specific energy consumption, which in turn will increase the objectivity of the assessment of the causes of changes in the energy intensity of transport and will help to reduce energy losses.

A significant share of JSCo «Russian Railways» expenses falls on the purchase of diesel fuel and electric power for train traction. In this connection, the task of ensuring rational consumption of energy resources acquires special importance. Its solution is impossible without a well-functioning system for planning and forecasting the energy efficiency of locomotives. The article proposes a method for predicting specific energy consumption (SEC) for train traction, based on determining predicted values of transportation work and fuel and energy resources consumption by extrapolating time series, which consists in spreading the trends in changes in the values established in the past to the future period. A distinctive features of the developed method is the determination of seasonality indices and consideration of the rhythm of changes in the indicators. In cases where the forecast period includes months of the first or fourth quarters, a formula is proposed for determining the forecast value of the SEC, taking into account the influence of the atmospheric air temperature. The calculations performed showed that the application of the proposed method for structural divisions with different volume and nature of transportation work and the level of the SEC ensures a sufficiently high accuracy of train traction energy cost forecasting. The method is included in the Methodology for Analysis and Prediction of Fuel and Energy Resources Consumption for Traction of Trains developed by OmGUPS and implemented in the railroad network of the Russian Federation.

The most important task of the Russian Federation's energy strategy is the efficient use of energy resources. Rail transport is a one of the major consumers of diesel fuel and electricity, where the major energy consumption is used for traction. Traction energy consumption depends on a number of operational factors, including the characteristics of high-speed trains. The article is devoted to the designation of ways to assess the impact of changes in the coefficient of the precinct speed of freight trains on the change in specific energy consumption of locomotives. It is concluded that the calculation influence coefficient use indicators of locomotives, including the coefficient of the precinct speed must be performed for each of the structural units and analyzed the calendar period. Proposed by the authors for this formula is included in the methods of analysis and forecasting of energy resources consumption for traction trains introduced on the Russian train system in 2015.

The introduction of digital technologies in electrical networks and substations allows the introduction of new technologies and promising methods for managing transportation and distribution of electricity in intelligent electric networks of railways based on multi-agent control. These methods should provide improved performance, adaptive definition of restrictions on the use of electric power equipment, control of mode parameters, partitioning and power flow modes in distribution networks, restoration of power supply after emergency events. A method of adaptive control of transport and distribution of electrical energy in the power supply system of stationary consumers of railways has been developed, based on the hierarchical structure of IEC 61850, taking int o account the coordination of control and local controllers in the data exchange environment, a variable area of responsibility of control controllers multi-agent approach. It presents approaches to managing power flows to reduce energy losses, increase the capacity of transport channels and ensure restoration of the normal mode of the electrical network by reconfiguring it and managing active elements based on graph theory, taking into account the projected hourly load schedule, limiting the demand for power to active consumers and closed mode electrical network operation through controlled sections. The presented simulation results of voltage control in the test circuit showed the feasibility and effectiveness of the proposed approaches.

The authors propose the methodology of transportation on railway transport forecasting based on the construction of temporal trends.

The article is devoted to the features of the implementation of the user interface of an automated information system for processing and analyzing data about the energy consumption of locomotives, ensuring its effective functioning in order to improve the control of fuel and energy resources consumption for train traction.