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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

Volumes:
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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v50.i8.50
pages 50-65

Mathematical Models and Methods of Formation of Intelligent Computer Networks for Control of Power Supply and Optimization of Power Consumption of Railways

Alexander I. Stasiuk
State Economy and Technology University of Transport, Kiev
Lidiya L. Goncharova
State Economy and Technology University of Transport, Kiev

SINOPSIS

The key directions of evolution of innovative transformation of railways electric systems are studied. It is shown that the solution of complex problem of power supply optimization and creation of energy saving technologies is possible by intellectualization of fast-flowing technological processes of power consumption. The paper has proposed the conceptual approach and the set of principles for formation of intelligent computer networks focused on obtaining a new knowledge in the field of railway power engineering and capable to solve a set of problems that traditionally belong to a class of the creative. By applying available excess computing performance at any point or segment of the object topology the paper makes a scientific substantiation of formation of mathematical models and methods of increased intellectual complexity and dimension focused on identification of new special knowledge in the field of railway power engineering. There were proposed differential mathematical models for determining comprehensive information content of a primary information, conducting the spectral analysis of primary data, studying a computer architecture control level of traction substation, determining probabilities of states of computer network nodes, bandwidth, the number of failures of service calls and busy channels. The mathematical model of cybersecurity of the computer environment is developed, criteria of cybersecurity are formalized and the strategy of ensuring cybersecurity based on the minimax principle is developed.

REFERENCIAS

  1. Stasiuk A.I., Goncharova L.L., Mathematical models and methods for analysis of computer networks for control of railways power supply, Kibernetika i sistemnyi analiz, 2018, 54, No. 1, 134–145.

  2. Stasiuk A.I., Gryshchuk R.V., Goncharova L.L., Mathematical model of cybersecurity of computer network for control of traction substations power supply, Ibid., 2017, 53, No. 3, 170–179.

  3. Stasiuk A.I., Goncharova L.L., Differential mathematical models for studying computer architecture of all-mode control system of power supply distance, Ibid., 2017, 54, No. 1, 83–92.

  4. Stasiuk A.I., Goncharova L.L., Mathematical models of computer intellectualization of technologies for synchronous vector measurements of power networks, Ibid., 2016, 52, No. 5, 186–192.

  5. Stasiuk A.I., Goncharova L.L., Golub G.M., Method for assessing cybersecurity of distributed computer networks for control of electricity consumption of power supply distances, Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal “Problemy upravleniya i informatiki”, 2017, No. 4, 119–127.

  6. Stasiuk A.I., Goncharova L.L., Mathematical models and methods of the analysis of computer networks of control of power supply of railways traction substations, Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal “Problemy upravleniya i informatiki”, 2017, No. 1, 104–113.

  7. Stasiuk A.I., Butkevich O.F., Levkonyuk A.V., Increase of reliability of monitoring of admissible loading of controlled intersections of power systems, Tekhnichna elektrodynamika, 2014, No. 2, 56–67.

  8. Pukhov G.E., Taylor transformations and their application in electrical engineering and electronics [in Russian], Naukova dumka, Kiev, 1978.

  9. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) DC, USA, Apr 23, 2017 – Apr 26, 2017, http://www.scgsc.net/l.

  10. European Technology Platform-Smart Grids. April 2011: Strategic Deployment document for European Commission, 2014, Mode of access: http://www.smartgrids.eu/.


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