Intelligent Traction Power Supply System

Zakaryukin, Vasiliy; Kryukov, Andrey; Cherepanov, Aleksandr

doi:10.1007/978-3-319-70987-1_10

Cited by 18 publications

(7 citation statements)

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“…Research on the problem of innovation-investment transformation of railway power supply systems, in order to optimize electricity consumption and the formation of energy-saving technologies, including the organization of trouble free transportation, contributed to creating and developing of a new generation of intelligent computer networks that control fast-moving technological processes of electricity supply [1][2][3][4][5][6]. The concept of intelligent energetics has opened wide opportunities to conduct real-time synchronous vector measurements of the whole set of mode parameters in different points and segments of the distributed power system with rigid association to astronomical time and accuracy to several hundred nanoseconds, to implement direct observation of the dynamic characteristics of the power system, to calculate the coefficients of low-frequency oscillations, as well as to assess the level of instability risk.…”

Section: Introductionmentioning

confidence: 99%

“…The concept of intelligent energetics has opened wide opportunities to conduct real-time synchronous vector measurements of the whole set of mode parameters in different points and segments of the distributed power system with rigid association to astronomical time and accuracy to several hundred nanoseconds, to implement direct observation of the dynamic characteristics of the power system, to calculate the coefficients of low-frequency oscillations, as well as to assess the level of instability risk. Monitoring of operating conditions of traction power systems may be achieved by combining controlled reactive power sources, energy storage systems, active harmonic conditioners and distributed generators [4][5][6][7][8][9]. The work [2] indicates to importance to conduct the dependability analysis for contemporary complex systems.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Models of Effective Topology of Computer Networks for Electric Power Supply Control on Railway Transport

Стасюк¹,

Kuznetsov²,

Zubok³

et al. 2022

Communications

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The paper is devoted to analysis of modern directions of innovation-investment formation of intelligent computer networks that control the fast-moving technological processes of electricity supply. It is based on the conclusion that the problem of increasing the productivity of information exchange between information resources and consumers is dominant. A method for increasing the efficiency of information exchange is proposed as a search for the rational location of a new node and the organization of such a set of its connections among the whole set of nodes of the computer network, which provides a minimum average topological distance. Mathematical models of effective topological organization of connections in computer network of power consumption control at the level of traction substations, electric power distances and the railway in general are proposed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mathematical Models of Effective Topology of Computer Networks for Electric Power Supply Control on Railway Transport

Стасюк¹,

Kuznetsov²,

Zubok³

et al. 2022

Communications

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“…The current stage in the development of the electric power industry is characterized by the transition to a new technological platform based on the concept of intelligent electrical power networksa smart grid [1]. This concept is fully applicable in railway power supply systems (RPSS) [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…The intelligent RPSS implementation requires the development of computer technologies for modeling modes and electromagnetic fields determining electromagnetic safety conditions. Such technologies are implemented based on the methods developed at IrGUPS [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Imitative Modelling of Electromagnetic Safety Conditions in Smart Power Supply Systems

Buyakova¹,

Zakaryukin²,

Kryukov³

2018

Proceedings of the VTH International Workshop "Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Clou

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The implementation of intelligent railway power supply system requires the development of computer technologies for modeling modes and electromagnetic fields determining the conditions for electromagnetic safety. Such technologies are implemented based on the methods developed at the Irkutsk State Transport University. The formation of intelligent power supply systems will solve the following important tasks: provision of high reliability of power supply for traction of trains, as well as for non-traction and non-transport consumers; increase of electromagnetic safety; minimization of energy losses and operating costs of traction power networks; improvement of electricity quality in traction power networks, as well as in the interface regions with the supply electric power system. The article presents the technology of electromagnetic environment simulation modeling on alternating current railway. An example of calculations is considered. The amplitude values of the magnetic field strength vary with the average size of train movement from several amperes per meter to 60 A/m, the electric field strength varies comparatively little.

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“…These algorithms are widely used in the modern mining industry: from the control of the gas atmosphere in the mine to maintaining the proper operation of draglines [10,24,25]. The provision of mining operations is directly related to the supply of power of the required quality to the final consumers, whether it is mining equipment or heavily rated power units [26]. Special requirements are placed on the operation of powerful equipment since the continuity and safety of the process depend on their work.…”

mentioning

confidence: 99%

Novel Approach to Collect and Process Power Quality Data in Medium-Voltage Distribution Grids

2021

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The paper is devoted to the development of the structure of a fast and flexible data collecting system based on the proposed approach to measure power quality indicators in three-phase medium-voltage distribution grids with an example of a Mikhailovsky mining and processing plant. The approach utilizes the properties of a space vector, obtained from grid currents and voltages with disturbed waveform, to allow faster extraction of the harmonic components compared to traditional approaches, based on the direct Fourier-transform applied to a line or phase values. During the study, the concept of a universal measurement device was introduced, which allows fast estimation of the following values at the grid node: magnitudes and phases of voltage and current harmonic components, active and reactive power of harmonics and fundamental components, positive and negative instantaneous powers. The structure of interconnected measurement and control units for the considered grid node with simultaneous operation of two active variable frequency drives with active rectifiers was proposed in accordance with a concept of the Internet of things. The benefits of the proposed solution are shown by the example of the model of the grid node with two operating draglines and nonlinear load, which was developed in MATLAB/Simulink software. The proposed approach was utilized to produce distributed references for control systems of grid inverters to compensate nonlinear currents, which allowed to significantly improve THDi of the grid node input power.

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Intelligent Traction Power Supply System

Cited by 18 publications

References 0 publications

Mathematical Models of Effective Topology of Computer Networks for Electric Power Supply Control on Railway Transport

Mathematical Models of Effective Topology of Computer Networks for Electric Power Supply Control on Railway Transport

Imitative Modelling of Electromagnetic Safety Conditions in Smart Power Supply Systems

Novel Approach to Collect and Process Power Quality Data in Medium-Voltage Distribution Grids

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