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In general, improvement of methods for electrical calculations aimed at increasing the accuracy of the results. One of the ways to improve the methods of calculation is the account in the calculation of the various factors that affect the accuracy of calculation of the traction power system parameters. This article describes an approach aimed at improving the method of calculation in the electrical part to improve the accuracy by changing the algorithm for calculating and accounting for a number of additional factors.

The article deals with the question of methodology stop imitation modeling when using modern instruments of mental resources, which are, for example, was Wednesday MatLab. In particular, analysis of factors that determine the duration of the simulation for a given level of accuracy desired results.

Nowadays fuzzy neural networks are widely used for modeling of complex industrial processes. The paper considers the application of fuzzy logic to generate a mathematical model of electricity consumption in rail transport for example, traction substation Dorogino. Algorithm for choice of the structure of fuzzy neural network including the species and number of membership functions for input and the number of training cycles is presented. Comparative analysis of the structures by evaluating the mean square error is made.

The paper deals with the problem of sustainable innovation development of the electric power system of Mongolia, taking into account the geographical position of the country on the border of a transport route between China and Russia. In the broadest sense between the Asian industrial region and Europe, the turnover between them is increasing every year. The main constraining factor on the way of this process is not electrified main railway line, passing through the territory of Mongolia. Shown the advantages of railway electrification to solve the problems of power supply industry and agriculture. The most important objective is the electrification of the transport route Sukhbaatar Ulaanbaatar-Zamyn-Ude, the length of 1111 km. It is shown that the realization of this goal will reduce rail route from Europe to Central Asia of 1,025 km. The forecast of development of transportation in the future. Along with this a forecast of the Mongolia’s electric power system, in which the traction electric load would be approximately 22%. Included the corresponding graph required the development of generating capacities in the Mongolian power system in order to adjust the available capacity to 3500MW by the year 2025. Proved significant advantages of electrified railway through improving electric locomotive in comparison with diesel locomotive. In contrast to the significant proportion of electrified railways of Russia on a direct current, proposed the path of traction power supply system 2x25kV. Following the example of other highly developed countries, it will go to the use of high-speed railways. Thus it is achieved balanced development of Mongolia's electric power system based on electrification of the transport corridor from Asia to Europe.

Currently, according to regulatory documents, the resistivity of power line wires is assumed to be the same for any permissible load current and the heating temperature of the wires is equal to 20 degrees. This account of resistivity causes significant errors that significantly affect the operating modes of power transmission lines. This article analyzes the influence of outdoor air temperature, load current, solar radiation intensity, wind speed and direction on the heating temperature of overhead power lines, and as a result, on the value of the resistivity of the wires and power and electricity losses in them. The example of the BAM highway shows that even in the conditions of one region, the outdoor air temperature varies, depending on the time of year, within a very wide range. This in turn requires careful consideration of the dependence of the resistivity value of the line wires on the external air temperature. At the same time, it is shown that it is permissible to ignore the intensity of solar radiation, wind speed and direction on the heating temperature of overhead power lines due to the lack of comprehensive information about these factors and their opposite direction. However, this assumption will only be valid for operating currents in the range from zero to double the current value corresponding to the economic density. When calculating power losses, especially in heavily loaded lines, it is necessary to take into account all external temperature influences. Due to the appearance of sensor temperature sensors, it is proposed to use them directly to measure the heating temperature of line wires and then calculate their resistivity.