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Despite significant progress in the development of accounting systems, there is almost universal growth accounting losses of electricity and reduce its quality. Along with the introduction of modern energy efficient electrical problem efficiency of electric energy in the stationary energy sector can be achieved through the implementation of active-adaptive technologies for controlling the operation of compensating devices, controlled means of voltage control, switching and power equipment and diagnosis based on digital technology, including automatically maintain a minimum transmission losses when the load. Management of objects offered no traction electricity consumers based on adaptive technology and hardware-software optimization mode parameters in real time.

The article discusses the urgent problem of upgrading non-public railway tracks through the introduction of automated loading and unloading control systems. The relevance of the study is due to the significant proportion of non-public tracks in the Russian railway infrastructure (29 % of the total length) and their constant increase, the growing volume of industrial production in the country and the need to improve the efficiency of transport services for enterprises and improve the efficiency of their use. More than 85 % of all freight traffic by rail starts and ends on non-public roads. The correctness of the service, organization and technology of the operation of the considered routes affects the operation of the entire transport network. The problem of the study lies in the fact that traditionally accepted methods of loading and unloading operations on non-public tracks do not provide the necessary efficiency of the transportation process, which leads to long downtime of rolling stock and increased operating costs for railway transport. The methods of system analysis, mathematical modeling and comparative analysis of statistical data are used in the work. Based on a study of international experience and domestic practice, it has been shown that the introduction of automated control systems can reduce the downtime of wagons by 25 - 30 % and reduce operating costs by 15 - 20 %. The article presents the definition of an automated loading and unloading management system as an integrated information management system that integrates hardware and software. A step-by-step methodology for system implementation has been developed, including seven consecutive stages from preliminary analysis to optimization and development. The proposed solutions take into account the specifics of Russian operating conditions and import substitution requirements.

Low-density railway lines (LDRL) make up almost 1/5 (15,353 km) (18.2 %) of the total length of Railways of JSC "Russian Railways". Currently, the operation of LDRLs in countries of Europe and in Russia is very expensive. This is due to the large number of manual management operations and the excessive need for staff. The solution to the problem of efficiency of use of LDRL in the conditions of market economy is one of the priority tasks facing the transport industry. Despite the fact that LDRL are poorly loaded (on average 3.5 pairs of trains per day) and, therefore, unprofitable, their content is subject to almost the same requirements as for the mainlines, including reporting requirements. The stationmaster and staff of LDRL are overloaded the reporting documentation. This requires the performance of work on the revision of the technology, standards of service and operating procedures LDRL. The purpose of the study is to reduce costs for the main types of activities by changing the technology of maintenance and operation of LDRL. The subject of this study is the operation and maintenance of the LDRL network of JSC "Russian Railways". The methodology of the conducted research is based on the system analysis and scientific generalization of domestic and foreign experience in operation and maintenance of LDRL. The article highlights the technological features of operation of the LDRL. The classification of lines with low-intensity traffic has been developed and the criteria for their assignment to the proposed types have been determined. The peculiarities of the organization of movement of trains, passenger and freight work for the LDRL of various types are presented.

In this paper, the possibility of controlled shunt reactor (CSR) to absorb excess charging capacity in long lightly loaded transmission lines of 110 kV electric networks Nordic branch of JSC "IDGC of Siberia" - "Omskenergo." The emergence of excess reactive power leads to an increase in the voltage at the nodes of the power system and the emergence of significant power loss. The application of CSR, The calculation of the required power, the place of installation, pre-feasibility study.

The method of practical realization of decision of the special case of a transport task is examined. It allows to find optimal and the set amount of routes the nearest to it on the size of criterion of optimality. A method provides large flexibility in the decision of questions of planning of optimal organization of vehicular process at making, both strategic plans and operative plans in case of origin of situations of type "accident", "congestion", or other force-majeure circumstances.

Efficient use of railway rolling stock is an important aspect of the transportation industry. The presence of wagons on access roads plays a significant role in the overall performance of logistics chains. The article discusses the main approaches to rationing the time spent by wagons, analyzes existing problems and suggests optimization techniques based on modern technological solutions. The purpose of this work is to develop a methodology for rationing the time spent by wagons on access roads, aimed at reducing downtime and increasing the speed of cargo turnover without compromising the quality of cargo handling. The research method includes an analysis of the current state of operation of access roads, identification of the main problems and limitations, as well as the application of the principles of queuing theory. The technological and interoperable components of the time spent by wagons on access roads, including unproductive downtime, are considered. Special attention is paid to the complexity of applying the analytical method due to the difficulties of classifying access roads, the need for accurate data collection and the approximation of the formulas used. The scope of the results includes planning and optimizing the operation of access roads of industrial enterprises, terminals and warehouse complexes integrated into multimodal supply chains. The proposed methodology makes it possible to take into account the specifics of technological operations, the technical characteristics of rolling stock and infrastructural constraints. The practical significance of the work lies in the possibility of reducing the downtime of wagons, improving the use of rolling stock and increasing the overall efficiency of the transport system. The implementation of the proposed approaches contributes to the adaptation of access roads to changes in external and internal conditions, as well as the integration of advanced technologies into logistics process management.

The article considers the peculiarities of the transport network ports on the Baltic sea, the problems of optimization is to increase cargo turnover and the challenges associated with the modernization of the transport complex of Russia

Is executed the analysis of the special features of the territorially distributed objects of rail transport for developing the systems of video surveillance and video registration. Is proposed the three-stage design procedure of such systems, at basis of which lies the separation of entire system into the zones of video surveillance, zones of video registration and the information clusters, which ensure the optimization of system on the criterion of minimum expenditures.

The problem of increasing energy saving when using fuel in heating furnaces of forging and thermal shops for heat treatment of metal under pressure treatment (forging and stamping) and heat treatment (quenching, tempering, carburizing and nitrocarburizing) is considered. Ways to improve energy saving in industrial furnaces and issues of reducing fuel consumption in thermal processes were studied. The problem of rationalizing the regeneration of low-grade heat of flue gases was not solved fully enough, since economic factors and the influence of the determining parameters on the temperature and thermal regimes of heat recovery plants were not fully taken into account. Thus, it is relevant to address the issue of the appropriate degree of recovery of the thermal potential of the gases leaving the heating furnace, finding the most favorable parameters of heat recovery plants. A criterion is proposed for assessing the effective level of the degree of utilization of the heat of exhaust gases at the outlet from the heating furnaces. It is proposed to evaluate the efficiency of the heat recovery plant and determine the optimal degree of heat recovery from flue gases leaving the heating furnace based on the difference in the changing costs for the construction and operation of the heat recovery plant. A method and an algorithm for determining the technically and economically feasible degree of utilization of low-potential heat of fuel combustion products after furnace units in a heat recovery unit have been developed. The developed algorithm provided the necessary optimality conditions, was checked for sufficiency by conducting studies on the existence of an extremum at the test point and the positivity of subsequent derivatives. The dependences of the economically viable temperature of the fuel combustion products after the heat recovery plant on the determining factors, basic values, price indicators and initial data are obtained, which, in the case of reconstruction and modernization of the furnace facilities of forge and thermal shops, minimize the costs of reconstruction and increase the efficiency of its use. The practical significance of the application of the proposed developments for practical use in the design, reconstruction and modernization of the furnace facilities of forging and thermal shops has been substantiated.

The urgency of the work is connected with the improvement of the components of the distributed automation system and voltage control within the framework of the development of actively adaptive electrical networks. An approach is presented to the determination of control actions within the framework of coordinated voltage control in distribution electrical networks using active elements based on multi-agent control. Voltage control in the electric network is carried out by all local regulators within the boundaries of the controlled zone under the condition of voltage stabilization. The control actions of local agents are determined as a result of coordination between each other in the type of "auction", the solution of the linearized optimization problem based on the sensitivity of the locations of the active elements to the change in voltages in the distribution network. The sensitivity of the parameters of the regime to the injection of power in the nodes of the electrical network is determined on the basis of sensory analysis of the conductivity of the network topology elements and the partial derivative of the unbalance of the constituent electrical quantities. Achieving the global goal of managing coordinating agents is achieved by optimizing the mode parameters and adjusting the work of local agents. The presented simulation results on the test circuit showed the feasibility and effectiveness of the proposed approaches..

Is executed the analysis of the special features of the process of the optimization of the complex systems of video surveillance and video registration in the territorially distributed objects of rail transport. Is proposed the procedure of setting optimization problem during the local level for the group of adjacent clusters into supers-clusters and the step-by-step optimization of entire system at the global level. The procedure of two-level optimization and the association of the adjacent information clusters of system into the supers-cluster make it possible to combine the methods of linear and dynamic programming for the optimization of the complex branched systems on the criterion of minimum expenditures.

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 results of mathematical modeling of the optimization of maintenance cable lines are presented in article. The results can be used to calculate the optimal frequency and number of major repairs and substitutions of cable lines.

The problem of optimizing train driving modes continues to be relevant for a long time, despite a large number of scientific research and development in this subject area. This is due both to the general complexity of the implementation of the technological process of running the train, and to parametric uncertainty and significant variations in the parameters of the control object itself and the external environment. Well-known methods for calculating energy-optimal train driving modes (calculus of variations, the maximum principle, dynamic programming) and auto-driving systems based on them assume some simplifications of the original problem, and, as a result, implement quasi-optimal control in practice. In this regard, the development of methods for searching for the global extremum of a functional defined on the set of permissible trajectories of a train as a dynamic system is both theoretically and practically a significant task. The aim of the work is to create a computationally efficient metaheuristic algorithm for searching for energy-optimal control as a global extremum of the objective function, the values of which are calculated using a reference model of the control object. The authors have developed a problem-oriented evolutionary algorithm for calculating the optimal control of train movement based on the theory of random search. Its features are the proposed specialized operators of local random search, taking into account the specifics of the control object as a multi-mode system; combined procedures of local and global optimization based on the concept of a multi-island population algorithm with superpopulation, as well as a method of selection (selection) of promising options based on the clustering algorithm. Computational experiments have shown good convergence of the algorithm and repeatability of the calculation results. Based on the solutions obtained, a train running time controller can be implemented that implements asymptotically optimal control.

This article examines the development of Uzbekistan’s transport and logistics system, focusing on optimizing the piggyback train schedule. Due to its strategic geographic location, Uzbekistan serves as a crucial transit hub connecting Europe and Asia. The continuous growth in freight traffic and the increasing need for greater logistics efficiency require a comprehensive approach to modernizing railway infrastructure and optimizing transportation processes. The study provides a detailed analysis of the current state of Uzbekistan’s railway network, identifying key areas for improvement. Special attention is given to the implementation of piggyback transportation, which offers significant advantages such as reducing transport costs, improving cargo delivery reliability, and minimizing environmental impact. To evaluate the efficiency of transport solutions, mathematical models are applied to assess station capacity and train scheduling. A comparative analysis of different freight transportation methods is conducted using Laplace and Wald decision-making criteria, enabling the identification of the optimal transportation mode and route. The results demonstrate that a well-planned train timetable facilitates increased freight volumes, enhances logistical coordination, and strengthens Uzbekistan’s role as a major transit corridor. Additionally, the study highlights the economic and operational benefits of implementing optimized piggyback train schedules. The findings of this research contribute to the development of strategies for railway infrastructure modernization, providing practical recommendations for improving freight transportation efficiency. These insights can support policymakers and industry stakeholders in making informed decisions to enhance the competitiveness of Uzbekistan’s transport corridors in the global logistics network.