Estimation of the traction energy system reliability and efficiency due to timely and immediate identification of heating sites of contact joints is the future-oriented technology for the condition oriented service and repair of the electrical equipment of energy providers. It is peculiar with the roughly alternating load of the electric current action during the day. This makes it difficult to identify the current state of the electrical connection. Thus, it becomes necessary to specify the dependence of changes in the assessment criteria of the electrical connection condition in operation.
A modular transfer line designing problem is investigated. The problem is to find the best subset of modules (machining units) from a given set and to assign them to different stations so that technological constraints and cycle upper limit are respected and the line cost is minimal. The investigated lines have a mixed activation mode for the machining units of each station, i.e. the units of each station are arranged into a series of stages such that each stage is composed of several units activated in parallel. A mixed integer program approach is proposed to model and solve the corresponding design problem. Improvements are suggested in order to reduce the model size and speed up the computations.
Currently, the task is to increase the capacity of the Russian Far Eastern Railway in the direction of ports on the Pacific Coast. This causes a significant increase in loads in the traction energy system, and under such conditions, the serviceability of the electric power infrastructure is crucial to ensure. In this regard, the stability of operation can be increased by improving the monitoring and diagnostics systems of the traction network elements. One of these elements is the electrical connection which has always been the most sensitive in the power grid. Therefore, the identification of factors that affect its failure, as well as the logic in maintenance and repair are relevant and significant not only for railway networks but for the electric power industry as a whole.
This article provides the economic assessment of the application of digital in-formation exchange technologies at electric power facilities of Transenergo, a branch of the JSC Russian Railways, which is one of the first in the world to implement a pilot project of a specialized traction substation of the railway transport. One of the goals of the Digital traction substation project is a universal and scalable information infrastructure controlled by the uniform operation rules. A significant part of the economic indicators of the digital traction substation is advanced diagnostics of equipment, timely condition-based repair, increased reliability due to duplication of information processes of management and protection, modeling and forecasting of equipment operating modes and condition. In this article, the authors attempt to develop approaches to the economic assessment of the application of digital information exchange technologies at electric power facilities of transport and determine the most effective digitization level for traction substations.
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