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Regina computer system for intelligent monitoring, diagnostics, and management of railway power supply systems
 
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1
Small Private Enterprise "ANIGER"
2
State University Infrastructure and Technologies
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Railway Research Institute
CORRESPONDING AUTHOR
Valeriy Kuznetsov   

Railway Research Institute
Submission date: 2021-06-29
Final revision date: 2021-10-11
Acceptance date: 2021-11-05
Online publication date: 2021-11-29
Publication date: 2021-11-29
 
Diagnostyka 2021;22(4):77–88
 
KEYWORDS
TOPICS
ABSTRACT
The analysis of the problem of innovative transformation of power supply networks of railways made it possible to scientifically substantiate the direction of research related to an optimal strategy for computer monitoring and intellectualization of the processes of power supply of traction substations of railways. Conceptual approaches to the formation of a new model of intellectualization of power supply networks have been developed. Differential models of high organization of synchronous vector measurements are proposed, allowing to determine the comprehensive information content of the primary data. Based on the concept of smart energy, a set of differential models and methods of harmonic and correlation analysis of anomalous and transient processes occurring in power systems has been developed. The REGINA computer system has been designed and manufactured to carry out, in real-time, intelligent monitoring, diagnostics, identification of accidents, optimization of power consumption and expanding the range of market services in managing railway power supply networks. The REGINA system complies with the requirements of ISO 9001: 2015 and the German certification body DOS. Many actual results obtained during the operation of the REGINA on the railways are presented.
 
REFERENCES (18)
1.
Kulbovskyi I, Holub HM, KyiashkoVT, Andonova S. Information model of railway transport power supply system computer monitoring data flow. Metallurgical and Mining Industry. 2018; 2: 31–36.
 
2.
Sopel MF, Grebchenko MV, Maksimchuk VF, Pilipenko Yu.V. Determining the location of a single-phase earth fault in the conditions of electromagnetic influence on overhead signaling, centralization and blocking lines of railways. Technical electrodynamics. 2019;1:50-54. https://doi.org/10.15407/techn....
 
3.
Yoldaş Y. Önena A, Muyeen SM. Vasilakos AV. Alan I. Enhancing smart grid with microgrids: Challenges and opportunities. Renewable Sustainable Energy Rev. 2017;72 :205–214. https://doi.org/10.1016/j.rser....
 
4.
Stasiuk A. Kuznetsov V, Goncharova L., Hubskyi P. Models of the computer intellectualization optimal strategy of the power supply fast-flowing technological processes of the railways traction substations. Komunikácie. 2021; 23(2):30–C36. https://doi.org/10.26552/com.C....
 
5.
Bartłomiejczyk M. Smart grid technologies in electric power supply systems of public transport. Transport. 2018;33(5):1144–1154 https://doi.org/10.3846/transp... .
 
6.
Brenna M, Foiadelli F, Kaleybar HJ. The evolution of railway power supply systems toward smart microgrids: The concept of the energy hub and integration of distributed energy resources. IEEE Electrification Magazine. 2020;8(1):12–23 https://doi.org/10.1109/MELE.2....
 
7.
Zhelieznov KI, Akulov AS, Zabolotnyi OM, Ursulyak LV, Chabanuk EV, Shvets AO, Kuznetsov VG, Radkevych AV The revised method for calculating of the optimal train control mode. Archives of Transport. 2019;51(3):21–34. https://doi.org/10.5604/01.300....
 
8.
Holub H, Kulbovskyi I, Skliarenko I, Hannoshyna I, Klochkov Y, Kharuta V. Research on the possibilities of solution of the monitoring projects of the railway power supply system. Technol. Aud. Prod. Reserv. Private Company Technology Center, 2019;6(50): 23–25. https://doi.org/10.15587/2312-....
 
9.
Kaleybar HJ, Brenna M, Foiadelli F, Fazel SS, Zaninelli D. Power quality phenomena in electric railway power supply systems: an exhaustive framework and classification. Energies. 2020; 13(24):6662. https://doi.org/10.3390/en1324....
 
10.
Gomez-Exposito A, Conejo AJ, Canizares C. Electric energy systems: analysis and operation. CRC Press. 2018.
 
11.
Stasiuk AI, Goncharova LL. Mathematical models of computer intellectualization of technologies for synchronous phasor measurements of parameters of electric networks. New Means Cybernetics, Informatics, Computers Engineering And Systems Analysis. Springer Science. 2016;52(5):825-830. https://doi.org/10.1007/s10559....
 
12.
Szeląg A. Trakcja elektryczna - podstawy. Oficyna Wydawnicza Politechniki Warszawskiej. 2019.
 
13.
Tryapkin EY, Keino MY, Protasov FA. Synchronous phase measurements in the automated monitoring system of railway power supply facilities. Russian Electrical Engineering. 2016; 87(2):110–112. https://doi.org/10.3103/S10683....
 
14.
Pawlik M. Cybersecurity guidelines for the employees of the railway entities. Railway Report. 2021;191:95–97. https://doi.org/10.36137/1915E.
 
15.
Bialon A, Kuznetsov V, Sychenko V, Hubskyi P. Energy efficient distributed DC traction power supply system. Transport Means - Proceedings of the International Conference. 2019.
 
16.
Su H, Dong H, Zhao F. Research and practice on curriculum integration on power system analysis and electrified railway power supply system. First International Workshop on Education Technology and Computer Science. 2009.
 
17.
Stasiuk AI, Hryshchuk, RV, Goncharova LL. A Mathematical Cybersecurity Model of a Computer Network for the Control of Power Supply of Traction Substations. New Means Cybernetics, Informatics, Computers Engineering And Systems Analysis. Springer Science. 2017;53(3):476-484. https://doi.org/10.1007/s10559....
 
18.
Pukhov GE. Taylor transformations and their application in electrical engineering and electronics Naukova dumka. Kiev. 1978. (in Russian).
 
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