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Intellectualization of emergency control of power systems on the basis of incorporated ontologies of knowledge-bases

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The research deals with improvement of methods and systems of controlling integrated power systems (IPSs) on the basis of intellectualization of decision-making support. Complex analysis of large-scale accidents at power facilities is performed, and their causes and damages are determined. There is substantiated topicality of building condition knowledge-bases as the foundation for developing decision-support systems in power engineering. The top priorities of the research include developing methods of building a knowledge base based on intensity models of control actions influencing the parameters of power system conditions and introducing the smart system into information contours of the automated dispatch control system (ADCS), as well as assessing practical results of the research. To achieve these goals, the authors apply methods of experiment planning, artificial intelligence, knowledge presentation, mathematical simulation, and mathematical statistics as well as methods of power systems studying. The basic research results include regression models of a power system sensitivity to control actions, methods of building a knowledge base based on the models of sensitivity matrices, a structure of the smart decision-support system, a scheme of introducing the decision-support system into the operating ADCS environment. The problem of building a knowledge base of the dispatch decision-support system on the basis of empirical data resulted from calculating experiments on the system diagram has been solved. The research specifies practical efficiency of the suggested approaches and developed models.
Rocznik
Strony
86--94
Opis fizyczny
Bibliogr. 45 poz., rys., tab., wykr.
Twórcy
  • Faculty of Information Technology, Kryvyi Rih National University, Vitalii Matusevych Street, 11, Kryvyi Rih, 50027 Ukraine
autor
  • Faculty of Information Technology, Kryvyi Rih National University, Vitalii Matusevych Street, 11, Kryvyi Rih, 50027 Ukraine
Bibliografia
  • 1. Accident rates doubled in Ukraine’s power system (2015) (in Russian), retrieved from: https://economics.unian.net/energetics/ 1073586-avariynost-v-energosisteme-ukrainyi-za-god-vyirosla-vdvoe. html – 30.04.2015.
  • 2. Accident rates of Ukrainian power engineering facilities in 2005. The industry data document (2005). Association of power enterprises ‘Industry Reserve and Investment Fund of Power Engineering Development’ (in Ukrainian). Enerhia, Kyiv.
  • 3. Babu N. R. (2018), Smart Grid Systems: Modeling and Control, CRC Press, Apple Academic Press, 290.
  • 4. Baldinger F., Jansen T., Riet M., Volberda F. (2010), Nobody knows the future of Smart Grid, therefore separate the essential in the secondary system – Developments in Power System Protection, the 10th IET International Conference (DPSP), 29 March – 1 April 2010, Manchester, UK.
  • 5. Bao Y., Guo Ch., Zhang J., Wu J., Pang S., Zhang Zh. (2018), Impact analysis of human factors on power system operation reliability, J. Mod. Power Syst. Clean Energy, Springer Verlag, Berlin, 6(1), 27–39.
  • 6. Bao Y., Li Z., Wen D., Guo Ch. (2015), Development and design of dispatcher training simulation evaluation system based on IDAC, Conference: 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 1–5.
  • 7. Benysek G., Kazmierkowski M.P., Popczyk J., Strzelecki R. (2011), Power electronic systems as a crucial part of Smart Grid infrastructure – a survey, Bulletin of the Polish Academy of Sciences: Technical Sciences, Power electronics, 59(4), 455–473.
  • 8. Berdnikov R.N., Morzhin Yu.I., Shakaryan Yu.G. (2012), Basic principles of the smart power engineering system of Russia with the active and adaptive grid. Power of the Unified Grid(in Russian), Energiya Yedinoy Seti, 4, 4–11.
  • 9. Besanger Y., Eremia M., Voropai N. (2013), Major grid blackouts: Analysis, classification, and prevention, Handbook of Electrical Power System Dynamics: Modeling, Stability, and Control, New Jersey: Wiley – IEEE Press, 789–863.
  • 10. Bevrani H., Hiyama T. (2017), Intelligent Automatic Generation Control, CRC Press, Taylor & Francis Group, 308.
  • 11. Buchholz B.M., Styczynski Z. (2014), Smart Grids - Fundamentals and Technologies in Electricity Networks, Springer Verlag, Berlin, 396.
  • 12. Dronova Yu.V. (2016), Risks of implementing smart grids into power complexes of the Russian Federation regions. Economy and Management: Problems, Solutions, Management Problems (in Russian), 2 (6), 77–83.
  • 13. Gluskin I.Z., Iofev B.I.. Meklin A.A., Chekalovec L.N. (2009), Emergency automation in power systems (in Russian), Moscow: Znak, 568.
  • 14. Hanusz Z., Tarasinska J., Zielinski W. (2016), Shapiro–Wilk test with known mean, REVSTAT Statistical Journal, 14(1), 89–100.
  • 15. Hashmi H.M., Hanninen S., Maki K. (2011), Survey of Smart Grid Concepts, Architectures and Technological Demonstrations Worldwide, IEEE PES Conference, Innovative Smart Grid Technologies (ISGT), Medellin, Oct.
  • 16. Heliodore F., Poullain S., Boussaad I., Nakib A. (2014), Methodology for management of power system emergency situations, PGMOCOPI’14 Conference on optimization & practices in industry, 3.
  • 17. International Atomic Energy Agency (2018), Nuclear Power Plant Operating Experience, IAEA, Vienna, 53.
  • 18. Joas F., Oswald K., Wido Witecka (2018), RAP: Report on the Polish Power System. Version 2.0 Study commissioned by Agora Energiewende, Mercator Foundation and the European Climate Foundation, 48.
  • 19. Kuno M.Ya., Kondratev A.N., Chalisov Yu.I., Malyishev A.V., Morozovich R.B., Sulimov V.A. (2012), Dispatch Adviser for eliminating overloads in the power system. Technical and Software Means of Automation Systems (in Russian), 5(34), 34–37.
  • 20. Lund H., Østergaard P.A., Connolly D., Mathiesen B.V. (2017), Smart energy and smart energy systems, Energy, 137, 556–565.
  • 21. Merkurev G.V. (2002), Operative and dispatch control of power systems. Methodological Guide. Teaching Guide (in Russian). Edition of the Energy Training Center, 116.
  • 22. Morkun V., Morkun N., Tron V., Hryshchenko S. (2018), Synthesis of robust controllers for the control systems of technological units as iron ore processing plants, Eastern European Journal of Enterprise Technologies, 1(2-91), 37–47.
  • 23. Morkun V., Tcvirkun S. (2014), Investigation of methods of fuzzy clustering for determining ore types, Metallurgical and Mining Industry, 5, 11–14.
  • 24. Morkun V., Morkun N., Pikilnyak A. (2015), Adaptive control system of ore beneficiation process based on Kaczmarz projection algorithm, Metallurgical and Mining Industry, 2, 35–38.
  • 25. Morkun V., Morkun N., Pikilnyak A. (2014), The adaptive control for intensity of ultrasonic influence on iron ore pulp, Metallurgical and Mining Industry, 6, 8–11.
  • 26. Morkun V., Morkun N., Tron V. (2015), Model synthesis of nonlinear nonstationary dynamical systems in concentrating production using Volterra kernel transformation, Metallurgical and Mining Industry, 10, 6–9.
  • 27. Morkun V., Morkun N., Tron V. (2015), Formalization and frequency analysis of robust control of ore beneficiation technological processes under parametric uncertainty, Metallurgical and Mining Industry, 5, 7–11.
  • 28. Morzhin Yu.I., Popov S.G. (2013), Digital substation. Concept, implementation technology (in Russian). Unified Grid Power, 5, 4–19.
  • 29. Negnevitsky M., Tomin N., Panasetsky D., Kurbatsky V. (2013), Intelligent Approach for Preventing Large-Scale Emergencies in Electric Power Systems, Proceedings from IEEE International Conference on Electric Power Engineering PowerTech, Grenoble, France, 16-20 June, 1–6.
  • 30. Report of the Unified Energy System of Russia on investigating the accident on May 25, 2005 (2005) (in Russian). RAO «UES of Russia», appointed by order, 331, Moscow, 48.
  • 31. Panasetskiy D.A., Tomin N.V., Kurbatskiy V.G., Voropay N.I., Efimov D.N. (2014), Smart emergency control of power system modes (in Russian). The Institute of Control Problems named after V.A. Trapeznikov of the Russian Academy of Sciences, Moscow, 4770–4782.
  • 32. Peng Zh., Na Liu, Jing Ch., Qi-feng Zh., Man-man Lin (2018), A New Dispatch Control Integration System of the Smart Grid Based on the Regional Network Centralized Protected Mode, Journal of Clean Energy Technologies, 6(4), 324–332.
  • 33. PKP Energetyka (2018), Implementation of the centralised system of controlling traffic in the SCADA / ADMS power and traction system. Engineering standards for NC facilities. Standardisation and Data Quality (in Polish), Warszawa, 33.
  • 34. Reliability standards for the bulk electric systems of North America. NERC (2007), Retrieved from: http://www.nerc.com – 18.08.2017.
  • 35. Roy R., Vijayakumar A., Nair R. (2015), A Study on Electrical Accidents and Safety Measures, International Journal of Latest Trends in Engineering and Technology (IJLTET), 5(2), 147–154.
  • 36. Sibikin Yu.D. (2017), Maintenance of electrical equipment of power stations and substations: teaching guide for students of higher educational institutions (in Russian). Moscow: Berlin, Direkt-Media, 447.
  • 37. Sobczyński D., Balawejder M. (2015) Participation of consumers in Smart Grid development (in Polish), Scientific Journals of Rzeszіw University of Technology, Series: Electrotechnics, RUTJEE , 34(4), 5–13.
  • 38. Status Review of Regulatory Approaches to Smart Electricity Grids (2011), Council of European Energy Regulators, CEER, Brussels, 37–40.
  • 39. Swora M. (2011), Smart Grids after the Third Liberalization Package: Current Developments and Future Challenges for Regulatory Policy in the Electricity Sector, Yearbook of Antitrust and Regulatory Studies, 4(4), 9–22.
  • 40. Maintenance of power plants and grids. Rules (2003) (in Ukrainian), DP "NTUKC" AsElEnergo, 599.
  • 41. Technology roadmap. Smart Grids (2011), International Energy Agency, OECD/IEA, 49.
  • 42. Tolshakov, A.V. (2014), Smart Grid: development, practice, problems (in Russian). Enerhonadzor, 1(53).
  • 43. Vingerhoets P., Chebbo M., Hatziargyriou N. (2016), The Digital Energy System 4.0, European technology platform Smartgrids, 72.
  • 44. Volkova I.O., Okorokov V.R., Okorokov R.V., Kobets B.B. (2011), Concept of smart power systems and its potential in the Russian power engineering (in Russian). The Russian Academy of Sciences. The Institute of National Economy Forecasting. The Open Seminar “Economic Problems of the Power Complex”, INP RAN, Moscow.
  • 45. Woszczyk M. (2009), The Smart Grid and Smart Metering Polish Perspective, ERRA Chairmen Meeting, Istanbul, 17 November, 19.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4e56082a-4df0-40e1-a648-71d3fefa1d71
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