scholarly journals EQUALIZING BUILDING LOAD DIAGRAM BY THE METHOD OF RANDOM COMPONENT COMPENSATION WHEN CONNECTING A GROUP OF KINETIC ENERGY STORAGES TO POWER SUPPLY SYSTEM

2021 ◽  
Vol 24 (1) ◽  
pp. 39-45
Author(s):  
SAVCHENKO N. ◽  

The article presents the results of a theoretical study of the process of regulating the load diagram while compensating its random component by connecting a group of kinetic energy storages devices to the power supply system of the administrative building. Daily load diagrams of the administrative building are presented in the form of an additive model. The definition of the law of load distribution is validated. The structure of group of kinetic power storages connecting to the power supply system of administrative building has been developed to compensate the random component of the load diagram. A method of load diagrams equalizing by random component compensating is proposed. Application of the proposed method of load equalizing will allow controlling effectively the capacity of load in the building’s internal power supply system.

2021 ◽  
Author(s):  
Oleksandr Ostapchuk ◽  
◽  
Andrii Bondarenko ◽  
Maryna Kyrychenko ◽  
◽  
...  

The aim of the study is to improve the quality of electricity and reliability of power supply systems of underground mining complexes of deep-level and power-intensive mines based on determining the optimal voltage class of highvoltage power lines. The subject of the research is the methods of quality indicators ensuring, reliability and safety of power supply systems of underground mining complexes of deep-level and power-intensive mines. Research methods. Analytical and calculation methods were used to solve the scientific problem to assess the nature and level of electricity consumption in modern deep-level and power-intensive mines; scientific generalization was used in determining the state of development of power supply systems of underground mining complexes of modern ore and coal mines; mathematical modeling was used in the description of processes in grids. The result of the study. The paper analyzes the current situation when choosing a rational voltage class in the underground power supply system of modern mining complexes was analyzed. Factors that have a direct impact on the efficiency of electricity consumers of deep horizons are identified. The method of power quality indicators calculation at definition of a voltage class of a certain mining horizon or the enterprise as a whole is offered. Prospects of application of voltage classes 6, 10 and 35 kV for power supply of shaft cables in the conditions of deep-level and power-intensive mines are considered. Conclusion. According to the obtained research results, it was established that the normalized voltage levels are far from the voltage values used today for the power supply lines of the underground power supply system, namely 6 and 10 kV


2019 ◽  
Vol 2 (1) ◽  
pp. 8-16 ◽  
Author(s):  
P. A. Khlyupin ◽  
G. N. Ispulaeva

Introduction: The co-authors provide an overview of the main types of wind turbines and power generators installed into wind energy devices, as well as advanced technological solutions. The co-authors have identified the principal strengths and weaknesses of existing wind power generators, if applied as alternative energy sources. The co-authors have proven the need to develop an algorithm for the selection of a wind generator-based autonomous power supply system in the course of designing windmill farms in Russia. Methods: The co-authors have analyzed several types of wind turbines and power generators. Results and discussions: The algorithm for the selection of a wind generator-based autonomous power supply system is presented as a first approximation. Conclusion: The emerging algorithm enables designers to develop an effective wind generator-based autonomous power supply system.


2019 ◽  
Vol 139 (12) ◽  
pp. 810-813
Author(s):  
Katsuhiro SHIMADA ◽  
Kunihito YAMAUCHI ◽  
Shinichi MORIYAMA

2013 ◽  
Vol 133 (12) ◽  
pp. 961-966
Author(s):  
Hitoshi Hayashiya ◽  
Kazushi Matsuura ◽  
Norio Koguchi ◽  
Hiroshi Yamamoto ◽  
Tetsuo Fujita

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