Improving the Quality of Electrical Energy in the Railway Power Supply System

Author(s):  
Yevgen Sokol ◽  
Volodymyr Zamaruiev ◽  
Volodymyr Ivakhno ◽  
Bohdan Styslo
2021 ◽  
Vol 939 (1) ◽  
pp. 012014
Author(s):  
A Rakhmatov ◽  
N Rajabov ◽  
Kh Yakubova

Abstract This article describes the methods and means for determining the technical condition of electrical equipment in power supply systems, particularly in transformer substations. There are many ways to determine the technical condition of electrical equipment. However, their implementation requires complex and additional equipment and devices. In addition, these tests must be carried out when the power supply system is off. This will lead to a decrease in the quality of electrical energy. Determination of the technical condition of electrical equipment using thermal imagers is performed under the voltage and in operating modes, the measurement process does not affect the parameters of the power supply system. The results of research in energy enterprises of the Syrdarya region are presented.


2015 ◽  
Vol 35 (3) ◽  
pp. 63-70 ◽  
Author(s):  
Viktor G. Sychenko ◽  
Dmitry O. Bosiy ◽  
Eugene M. Kosarev

Purpose of the work is improved approaches to ensure the required quality parameters of voltage in the traction network based on modern technologies and equipment in the application of power distribution system. Actuality. The introduction of high-speed traffic, increase weight standards Train necessitates increasing the carrying capacity of railways. Often the carrying capacity of existing sections electrified at 3.0 kV DC power supply unit limits. Such limitations include voltage decrease on the electric current collector below the allowable value for the normal operation of 2700 (2900 for high-speed V) and heating the contact wires, thereby losing their mechanical strength. Existing power supply system of RS, which have considerable installed traction substations, can not provide the required level of power density traction network for high-speed movement within 1.5 - 2 MW / km and, respectively, the required voltage quality. At the same time, the daily loading of a powerful traction substations in providing intensive schedule of trains does not exceed 20-25%, while the energy loss in traction network peak load increases and reaches 10-15% of the energy consumed. Thus, the existing system of power traction networks is not sufficiently effective and economical, even with the application of existing methods to strengthen them. In our view, the main limiting factor for a given quality of voltage in the traction network is the use of centralized power. From this, the development of measures to improve the quality of voltage in the traction network in the implementation of high-speed traffic in a growing scarcity of energy resources is an urgent task. Scientific novelty. Using distributed power supply system with adjustable supply points combined into intelligent power supply, which enables adaptive change the characteristics of the transfer, conversion and consumption and optimize the mode of functioning of the traction power supply is suggested for improving the quality of voltage in the traction network in the implementation of high-speed and heavy traffic. Practical significance. Improving the quality of voltage in the traction network by using the proposed circuit design traction power supply will ensure the desired mode voltage and power characteristics of the traction network in the implementation of high-speed and heavy traffic while reducing electricity losses by 20-30%.


Author(s):  
J. Prince Joshua Gladson ◽  
A. Ravielango

Metro is integral to the urban rail transit with the expansion of the city. Due to the tremendous power consuming of the traction load which is generally considered to be megawatt class, the attendant problems concerning energy-saving and emission-reduction cannot be neglected. An approach wherein the photovoltaic plants are connected into the metro traction power supply system to provide electrical energy is proposed in this paper. Given the deterioration of power quality brought about by PV connection, the photovoltaic inverter adopts output reactive power control method.


Author(s):  
Aleksey M. BEZNYAKOV ◽  
Aleksey V. NEMIROV ◽  
Gennadiy B. STEGANOV

The paper discusses transmission, reception, conversion and consumption of energy of laser and microwave radiation from Earth or space power plants. It proposes a classification of advanced systems for remote supply of power to spacecraft (SC). It addresses practicability of using remote power supply to SC under various operational conditions. The paper formulates the problem of evaluating the capability of the existing SC power supply systems to receive and convert emissions from additional sources. An analysis of criteria for the quality of pulsed or rapidly varying flow of energy into a SC power supply system. It reviews the structures of typical channels of power consumption in a SC power supply system. An equivalent circuit replacing receivers of pulsed or rapidly changing radiation is described. A math model is proposed for a power consumption channel operating under conditions of intermittent power supply to photovoltaic converters. Math modeling results are presented and analyzed. Key words: space power plant, solar array, onboard power supply system, power consumption channel, voltage converters.


2021 ◽  
Vol 2131 (5) ◽  
pp. 052050
Author(s):  
V Z Manusov ◽  
S K Khaldarov ◽  
B V Palagushkin

Abstract It is important to note that the generated power of renewable sources depends on the natural conditions at a particular geographic point, the level of wind flow speeds and solar radiation. The patterns characterizing these parameters depend on the time of year, locality and are purely probabilistic in nature. Taking into account the above-mentioned conditions for the effective implementation of “green” objects in the power supply system, the purpose of this work is to build forecasting models that are more likely to be able to determine what part of the load can be covered by the power supply system based on wind power and solar installations. This purpose was achieved by constructing and training artificial neural networks with data on the speed of wind flow and solar radiation obtained from real renewable energy facilities. The most significant result is the identification of the necessary forecasting horizon, taking into account the preservation of a relatively good quality of metrics, as well as understanding what additional data is required to improve this quality. The significance of the results obtained lies in the fact that they make it possible to determine what reserve capacity is required to be included in the project.


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