Towards the study of the efficiency using of locomotives of electrical traction on the Kokand - Andizhan section of the Kokand branch of the railway

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Authors: Oleg S. Ablyalimov, Altynbek T. LESOV, Zukhritdin Ergashev, Natalya Sarvirova
Cited by: 0

Abstract

The subject of the study is the moving parameters of a cargo train with a constant fixed mass of the composition, organized by an electric locomotive of the Uz-EL type, and the amount of electrical energy consumed by it in conditions the energy-optimal control mode of the movement of such a cargo train. Substantiation of the main efficiency indicators of locomotives of electrical traction, taking into account the given traffic schedule with use various options for the optimal mode of controlling driving of a cargo train with the constant fixed train mass on a real flat section of Uzbekistan railway. Methods and methodology of the investigation are theoretical foundations of locomotive traction and of theories of mathematical optimization of object control, including the C# programming language taking into account the necessary programming applications in the Microsoft Visual Studio 12.0 environment. Results received from the energy-optimal curves and moving parameters of the motion of a cargo train, and the parameters of the main indicators of the energy effectiveness of the investigated electric locomotives for different options of computer calculation of cargo trains conducting (driving) modes on a real plainly of the section Kokand - Andijan of the Uzbekistan railway. The results of the study, taking into account the actual conditions of organizing cargo transportation, will ensure the rational use of electrical energy at the Kokand locomotive depot and substantiate the traction characteristics of railway areas of varying by degree complexity.

Fields of Study & Subjects

Railway Systems and Energy Efficiency Electric Power Systems and Control Railway Engineering and Dynamics

Publication details

Journal / source
Springer Link (Chiba Institute of Technology)
Publication date
16 February 2026
Language
EN