Electronic modeling

Vol 45, No 3 (2023)

CONTENTS

Mathematical modeling and Computation Methods

 
SAUKH S.Ye.

3-10
 

BORUKAIEV Z.Kh., EVDOKIMOV V.A., OSTAPCHENKO K.B.
The State And Prospects Organization of Decentralized Electricity Trade At the Regional Level


11-27

Informational Technologics

 
KAPITON A.M., SKAKALINA O.V., TYSHCHENKO D.O., FRANCHUK T.M.
Automated Setup System Security Configuration of Network Equipment


28-42
  KONDRATENKO M.S.
Use of Blockchain Technology for Building a Hierarchical Structure on Most State Registries for the Purpose of Protection Against Forgery of Information


43-56
  LEBID O.V., KIPORENKO S.S., VOVK V.Yu.
Use of Artificial Intelligence Technologies in Agriculture: European Experience and Application in Ukraine

57-71

Application of Modeling Methods and Facilities

 
72-80
 
81-91
 
92-103
  PODGURENKO V.S., GETMANETS O.M., TEREKHOV V.Ye.
The Limit of the Wind Turbine Maximum Efficiency with Given Sizes in Specific Wind Conditions


104-115
  DRAHUNTSOV R., ZUBOK V.
Modeling of Cyber Threats Related To Massive Power Outages and Summary of Potential Countermeasures

116-128

 

THE CONCEPT OF ENSURING THE STRONG SUSTAINABILITY OF UKRAINE'S ELECTRIC POWER INDUSTRY IN THE CONDITIONS OF TERRORIST AND MILITARY THREATS

S.Ye. Saukh

Èlektron. model. 2023, 45(3):03-10

https://doi.org/10.15407/emodel.45.03.003

ABSTRACT

To support the strong sustainability of the energy sector in the conditions of terrorist and military threats, the concept of structural variability of the electric power industry is proposed. Structural variability is defined as the power system's ability to form such a number of subsystems and electrical connections between them that enables the operator to control the structure of the system and, in this way, ensure the hard stability of the power sector in conditions of purposeful destructive actions. We proposed a model of distributed market management of a structurally variable electric power system. The model is based on the decomposition of a single liberalized market into an upper-level market and regional markets interacting with each other according to uniform rules.

KEYWORDS

electric power industry, hard sustainability, structural variability, market decomposition.

REFERENCES

  1. Stability of energy systems. Guidelines. Kyiv: OEP "GRIFRE". 2002, 23 p. (Ukr)
  2. Ensuring the stability of energy systems and their associations. / Butkevich O.F., Kyiv: Instytut Elektrodynamiky Natsionalnoi Akademii Nauk Ukrainy. 2018, 320 p. (Ukr)
  3. Transmission System Code: Resolution of the NKREKP. No. 309. 14.03.2018. as of04.2023. URL: https://zakon.rada.gov.ua/laws/show/v0309874-18#Text (date of access: 11.05.2023) (Ukr)
  4. Power sector resilience planning / S. Stout et al. U.S. Department of Energy’s NREL and USAID. 2019, 82 p.
  5. Stirling A. From Sustainability, through Diversity to Transformation: towards more refle-xive governance of technological vulnerability. Vulnerability in Technological Cultures: new directions in research and governance. / ed. by A. Hommels, J. Mesman, W. Bijke. MIT Press. 2014, р. 305–332.
  6. Mitoulis S.-A., Argyroudis S., Panteli M., Fuggini C., Valkaniotis S., Hynes W., Linkov I. Conflict-resilience framework for critical infrastructure peacebuilding. Sustainable Cities and Society. 2023, 91, 104405, 19 p. URL: 
    https://doi.org/10.1016/j.scs.2023.104405
  7. Saukh S., Borysenko A. Modelling of market equilibrium on the basis of Smart Grid market system decomposition. Energy Smart Systems. Proceedings of the 2020 IEEE 7th International Conference. Kyiv, May 12-14, 2020. / Institute of Energy Saving and Energy Management, Igor Sikorsky Kyiv Polytechnic Institute, 2020. р. 358-362. URL:
    https://doi.org/10.1109/ESS50319.2020.9160333
  8. Saukh S.Ye., Borysenko A.V. Mathematical Model of a Local Grid with Small Modular Reactor NPPs. Nuclear & Radiation Safety. 2022. Vol. 94, no 2, р. 44–52. URL:
    https://doi.org/10.32918/nrs.2022.2(94).05

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THE STATE AND PROSPECTS ORGANIZATION OF DECENTRALIZED ELECTRICITY TRADE AT THE REGIONAL LEVEL

Z.Kh. Borukaiev, V.A. Evdokimov, K.B. Ostapchenko

Èlektron. model. 2023, 45(3):11-27

https://doi.org/10.15407/emodel.45.03.011

ABSTRACT

The article is devoted to the analysis of problems and experience of conducting research on the implementation of Smart Grid and Demand Response concepts in power supply systems with sources of distributed, decentralized generation and active consumers in power systems. The issue of finding ways to solve the scientific and technical problems of implementing the concepts of Smart Grid and Demand Response when solving the tasks of designing and building local electric power systems, taking into account the peculiarities of their functioning in the unified energy system of Ukraine was considered. The range of under-researched problems of decentralized management development in the retail segment of the electricity market in the organization of micro-markets based on the application of modern approaches of multi-agent management and block chain technology for the business processes organization is outlined. The main tasks of the conceptual design of the new market architecture of micro-markets on local electricity systems and their integration into the existing systems of organizational, operational-technological and information management of the electricity market are presented. Micro-markets are actually developing and, with experience, can become a driver for the post-war development of the market infrastructure in terms of the simultaneous implementation and practical application the Smart Grid and Demand Response principles for the implementation of technical solutions at the retail market level.

KEYWORDS

active consumers, renewable energy sources, electricity generation, local electricity systems, electricity micro-market, smart contract.

REFERENCES

  1. Denisyuk, S.P., Bazyuk, T.M., Fedosenko, M.M. and Yarmolyuk, O.S. (2017), Power supply systems with an active consumer: models and modes, AVERS Publishing House, Kyiv, Ukraine.
  2. Kyrylenko, A.V. ed. (2014), Intelligent electric power systems: elements and modes, Institut elektrodinamiki, Kyiv, Ukraine.
  3. Kyrylenko, O.V. Denysiuk, S.P., Tankevych, S.E. and Baziuk, T.M. (2016), “Information and regulatory support for the organization of multi-agent management of the electric power system with an active consumer”, Informacijni tehnologiyi ta komp’yuterna inzheneriya, no. 1, p. 29―34, available at: http://nbuv.gov.ua/UJRN/Itki_2016_1_6
  4. Security, energy efficiency, competitiveness (2017), Energy strategy of Ukraine for the period until 2035, Decree of the Cabinet of Ministers of August 18, 2017, no. 605-р, available at: https://zakon.rada.gov.ua/laws/show/605-2017-%D1%80#Text (accessed 09.04.2022).
  5. Geyec, V.M. (2022), “The economy of Ukraine in the imperatives of low-carbon development: Report at the scientific session of the General Assembly of the National Academy of Sciences of Ukraine on February 17, 2022”, Bulletin of the National Academy of Sciences of Ukraine, no. 3, p. 8―17, DOI:
    https://doi.org/10.15407/visn2022.03.008
  6. Kyrylenko, O.V. (2022), “Measures and means of transforming Ukraine’s energy industry into an intelligent, ecologically safe system: Report at the scientific session of the General Assembly of the National Academy of Sciences of Ukraine on February 17, 2022”, Bulletin of the National Academy of Sciences of Ukraine, no. 3, p. 18―23, DOI: 
    https://doi.org/10.15407/visn2022.03.018
  7. Pazderin, A.V., Bartolomej, P.I., Vyatkin, V.V., Eroshenko, S.A. and Stupin, M.V. (2013), “Classification and terms of distributed generation systems”, Scientific works of the IV International Scientific and Technical Conference “Electric power industry through the eyes of youth”, Novocherkassk, Russia, Vol. 2, p. 346―350.
  8. Robustova, Yu.V. (2013), “Analysis and classification of distributed generation definitions”, Scientific works of the IV International Scientific and Technical Conference “Electric power industry through the eyes of youth”, Novocherkassk, Russia, Vol. 2, p. 350―354.
  9. Zaitsev, E.O., Kuchanskij, V.V. and Gunko, I.O. (2021), “Improving the operational reliability and efficiency of the robotic electric lines and electrical installation”, International Scientific Journal “Grail of Science”, no. 5, p. 144―152, DOI: 
    https://doi.org/10.36074/grail-of-science
  10. Zharkin, A.F., Novskij, V.O., Martinov, V.V. and Pazeyev, A.G. (2019), “Provision of high quality power supply in distribution networks with renewable energy sources”, Bulletin of the NTU "KhPI", Series: Electric machines and electromechanical energy conversion, no. 20(1345), p. 4―13, DOI:
    https://doi.org/10.20998/2409-9295.2019.20.01
  11. Denysiuk, S.P., Makhlin, P.V., Shram, O.A. and Slynko, V.M. (2022), “Features of opera­ting modes analysis of the power system in areas with alternative electric power sources (wind power plants)”, Tekhnichna Elektrodynamika, no. 1, p. 41―49, DOI:
    https://doi.org/10.15407/techned2022.01.041
  12. Blinov, I.V., Trach, I.V., Parus, Ye.V., Derevianko, D.G. and Khomenko, V.M. (2022), “Voltage and reactive power regulation in distribution networks by the means of distributed renewable energy sources”, Tekhnichna Elektrodynamika, no. 2, p. 60―99, DOI: 
    https://doi.org/10.15407/techned2022.02.060
  13. Bazyuk, T.M. (2016), “Increasing the energy efficiency of local energy supply systems with an active consumer and distributed generation”, Qualifying scientific work of PhD (Tech.), dissertation, 05.14.01, Kyiv, Ukraine, available at: https://ela.kpi.ua/handle/123456789/18289
  14. Denysiuk, S.P. and Kolomiichuk, M.O. (2021), “Evaluation of financial and technical indicators of efficiency of microgrid work in dynamic modes”, Energy: economy, technologies, ecology, no. 3, p. 18―38, DOI: 
    https://doi.org/10.20535/1813-5420.3.2021.251195
  15. Denysiuk, S.P., Derevianko, D.H. and Bielokha, H.S. (2022), “Synthesis of models of local power systems with distributed generation sources”, Tekhnichna Elektrodynamika, no. 4, p. 48―53, DOI: 
    https://doi.org/10.15407/techned2022.04.048
  16. Kyrylenko, O.V., Blinov, I.V., Zaitsev, I.O., Palachov, S.O. and Vasylchenko, V.I. (2022), “International and european standards implementation for uses smart grid concept in IPS of Ukraine”, Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine, no. 63, p. 5―12, DOI: 
    https://doi.org/10.15407/publishing2022.63.005
  17. The state and prospects of the development of technologies of "intelligent" power grids, demand management and regime control systems in the conditions of the development of renewable energy sources in the foreign energy sector, available at: https://ua.energy/wp-content/uploads/2018/04/1.-Stan-rozvytku-smart-grid.pdf (accessed 09.04.2022).
  18. Kolosok, S.I. ed. (2019), Experience of building smart energy networks at the international level: monograph, Sumy State University, Sumy, Ukraine.
  19. Opryshko, V.P. (2019), “Evaluation of the effectiveness of demand management in power supply systems with an active consumer”, Qualifying scientific work of PhD (Tech.), dissertation, 05.14.01, Kyiv, Ukraine, available at: https://ela.kpi.ua/handle/123456789/29532
  20. Concept of implementation of "smart networks" in Ukraine until 2035, Order of the Cabinet of Ministers of Ukraine dated October 14, 2022, no. 908-р, available at: https://zakon.rada.gov.ua/laws/show/908-2022-%D1%80#Text (accessed 09.02.2023).
  21. Internet of Energy, Website presentation of O. Vermesan, SINTEF Digital, Norway, available at: https://iotweek.blob.core.windows.net/slides2017/WORKSHOPS/Energy%20and%20Home%20Comfort/O.%20Vermesan%20SINTEF%20DIGITAL.pdf (accessed 09.02.2023).
  22. International Renewable Energy Agency (2019), Innovation Landscape Brief: Market Integration of Distributed Energy Resources, Abu Dhabi, 2019, available at: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Feb/IRENA_Market_integration_distributed_system_2019.pdf (accessed 19.02.2023).
  23. Mokhor, V.V. and Evdokimov, V.A. (2020), “About creating a multi-agent simulations model of processes pricing in the electricity market”, Electronic modeling, Vol. 42, no. 6, p. 3―17, DOI:
    https://doi.org/10.15407/emodel.42.06.003
  24. Chemerys, O.A. (2019), “Tasks of blockchain technology for electric microgrids”, Problemy informatyzatsii ta upravlinnya, Vol. 1, no. 61, p. 102―107, DOI: 
    https://doi.org/10.18372/2073-4751.1.14045
  25. Kovalchuk, L.V. (2022), “The advantages of using smart contracts in energy and the problems that need to be solved for their use”, Materials of the scientific-practical conference ”Cybersecurity of energy”, G.E.Pukhov Institute for Modeling in Energy Engineering National Academy of Sciences of Ukraine, May 27, 2022, Kyiv, Ukraine, available at: https:// ipme.kiev.ua/wp-content/uploads/2022/05/Матеріали-КБЕ-2022.pdf (accessed 09.02.2023).
  26. Kovalchuk, L.V. and Kuchynska, N.V. (2022), “Prospects for the use of smart contracts in energy and existing vulnerabilities that must be taken into account for the possibility of their use”, Materials of the scientific-practical conference ”Cybersecurity of energy”, G.E. Pukhov Institute for Modeling in Energy Engineering National Academy of Sciences of Ukraine, November 24, 2022, Kyiv, Ukraine.
  27. Mokhor, V.V. and Tsurkan, V.V. (2022), “Integrated information security management system of critical infrastructure facilities in the energy sector”, Materials of the scientific-practical conference ”Cybersecurity of energy”, G.E. Pukhov Institute for Modeling in Ener­gy Engineering National Academy of Sciences of Ukraine, May 27, 2022, Kyiv, Ukraine, available at: https://ipme.kiev.ua/wp-content/uploads/2022/05/Матеріали-КБЕ-2022.pdf (accessed 09.02.2023).

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Automated setup system security configuration of network equipment

А.M. Kapiton1, doct. of ped. Sciences, О.V. Skakalina1, cand. of techn. science;
D.O. Tyshсhenko 2, cand. of ec. Science, Т.M. Franchuk 2, cand. of ec. science;
1 National University «Yuri Kondratyuk Poltava Polytechnic»,
  Ukraine, 36011, Poltava, Pershotravnevy prospect, 24
  tel. +38 (066) 9440001, е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.;
  tel. +38 (066) 5770059, е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.;
2 State University of Trade and Economics,
  Ukraine, 02156, Kiev, Kyoto Street, 19
  tel. +38 (097) 5472345, е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Èlektron. model. 2023, 45(3):28-42

https://doi.org/10.15407/emodel.45.03.028

ABSTRACT

A model of the system for automated setting of network equipment security configuration is proposed. In order to improve the security configuration of network equipment, a set of existing security threats in modern information and communication networks was analyzed. It was determined that with the increase in the level of introduction of information technologies in the life of the individual, society and the state, the level of danger in the cyber space increases. The general trends of ensuring cyber security at all levels are considered. The types of threats to users are systematized and their properties are considered. Based on the results of the study, it was determined that the cloud approach is the most appropriate for infrastructure deployment. Cloud services are considered and approaches to the automation of infrastructure deployment are defined, which provide an opportunity to minimize errors in the configuration of the architecture.

KEYWORDS

information services, information and communication networks, security parameters, configurations of network devices, cyber security.

REFERENCES

  1. Bohush, V., Dovydkov, O. & Kryvutsa, V. (2010). Theoretical foundations of protected information technologies. DUIKT.
  2. Information and cyber security (2015).
  3. Buriachok, V., Korchenko, L. & Buriachok, O. (2012). Social engineering as a method of reconnaissance of information and telecommunication systems. Zakhyst informatsii, 4(57), pp. 5–12.
  4. Hryshchuk, R.& Danyk, Yu. (2016). Fundamentals of cyber security: a monograph.
  5. Haivoronskyi, M.& Novikov, O. (2009). Security of information and communication systems.
  6. Chumachenko, O. & Horbatiuk, S. (2018). A new model of an artificial neuron for building neural networks in the approximation problem. Mizhnarodna naukovo-praktychna konferentsiia «Informatsiini tekhnolohii ta kompiuterne modeliuvannia», pp. 296-299.
  7. Snigurov, A. & Chakryan, V. (2013). Approach of routing metrics formation based on information security risk. Experience of Designing and Application of CAD Systems in Microelectronics (CADSM). IEEE, pp. 339-340.
  8. Kraemer, S. & Carayon, P. (2017). Human errors and violations in computer and information security: The viewpoint of network administrators and security specialists. Applied Ergonomics., 38, 2, pp. 143-154.
    https://doi.org/10.1016/j.apergo.2006.03.010
  9. McCallister, E., Grance, T. & Scarfone, K. (2020). Guide to Protecting the Confidentiality of Personally Identifiable Information, PII, 59 p.
  10. Danylenko, D., Smirnov, O. & Meleshko, Ye. (2012). Research on methods of detecting intrusions into telecommunication systems and networks. Systemy ozbroiennia i viiskova tekhnika, 1, 92-100.
  11. Subach, I. (2014). Ways of improving cybernetic attack detection systems. Vseukr. nauk-prakt. konf. Aktualni problemy zabezpechennia informatsiinoi bezpeky derzhavy.
  12. Kazakova, N. (2010). Monitoring of information resources in protected information networks World of information and telecommunications. VII mizhnar. nauk.-tekhn. konf. studentstva ta molodi, 165-168.
  13. Baranov, A. (2016). POCO: ‘Perpetual’ operation of CO wireless sensor node with hybrid power supply. Sensors and Actuators, 112-121.
    https://doi.org/10.1016/j.sna.2015.12.004
  14. Pavlysh, V.& Hlinenko, L. (2022). Basics of information technologies and systems: Study guide, BIKT.
  15. Liapandra, A. (2022). An approach to generalized evaluation of resources of programmable logic integrated circuits. Elektrotekhnichni ta kompiuterni systemy,7, pp. 92-96.
  16. Suhoniak, I. (2017). Model of the decision-making support system for optimal management of the life cycle of innovative enterprise projects. Seriia: tekhnichni nauky, 43 (4), 91-99.
  17. Tabunshchyk, H., Kudermetov, R. & Prytula, A. (2021). Design, modeling and analysis of information systems. Study guide.
  18. Dovhan, O. & Khlan, V. (2011). Cyberterrorism as a threat to information sovereignty of the state, Informatsiina bezpeka liudyny, suspilstva, derzhavy, 3 (7), 49–53.
  19. Stine, K., Kissel, R. & Barker, W. (2008). Volume I: Guide for Mapping Types of Information and Information Systems to Security Categories; Volume II: Appendices to Guide for Mapping Types of Information and Information Systems to Security Categories.
    https://doi.org/10.6028/NIST.SP.800-60v2r1
  20. Snegurov, A., Chakryan, V. & Mamedov. (2013). A The approach for selection of a routing metric in special-purpose wireless networks under the influence of radio-electronic investigation. Microwave and Telecommunication Technology (CriMiCo), 23rd International Crimean Conference, pp. 470-471.
  21. Lemeshko, A. (2017). Probabilistic-temporal model of QoS-routing with precomputation of routes under the terms of non-ideal reliability of telecommunication network. Telecommunications and Radio Engineering, 66, 13, pp. 1151-1166.
    https://doi.org/10.1615/TelecomRadEng.v66.i13.20

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USE OF BLOCKCHAIN TECHNOLOGY FOR BUILDING A HIERARCHICAL STRUCTURE ON MOST STATE REGISTRIES FOR THE PURPOSE OF PROTECTION AGAINST FORGERY OF INFORMATION

M.S. Kondratenko

Èlektron. model. 2023, 45(3):43-56

https://doi.org/10.15407/emodel.45.03.043

ABSTRACT

The work deals with the problem of ensuring the security of information storage in various registers, including state ones. First of all, we focused on security against attacks aimed at changing information in the registry, which is a constant and real threat today. The method proposed by us to prevent such attacks on changing information in the registry is based on the use of results from a relatively new direction in the field of information technology – blockchain technology. We propose building a so-called cascade structure of registers on blockchains using one of the newest consensus protocols called Proof-of-Proof. Such a cascade structure of registers, with the correct parameters of its construction and use, provides all the properties of correct information storage, such as non-failure, immutability, sequence of placement in the register, and others. After formulating the basic idea of building a cascade registry, we present a list of problems that need to be solved so that the probability of success of a substitution information attack is negligibly small.

KEYWORDS

blockchain, state register, databases, consensus protocols, information protection.

REFERENCES

  1. Official website of the Ministry of Justice of Ukraine. Unified and state registers. https://minjust.gov.ua/m/str_22253
  2. Official website of the Parliament of Ukraine. The draft law "On public electronic registers". https://zakon.rada.gov.ua/laws/show/1907-20#Text
  3. Veriblock documentation. Proof-of-Proof and VeriBlock Blockchain Protocol Consensus Algorithm and Economic Incentivization Specifications. https://www.veriblock.org/wp-content/uploads/2019/06/Proof-of-Proof_and_VeriBlock_Blockchain_Protocol_Consensus_Algorithm_and_Economic_Incentivization_v1.0.pdf
  4. Nakamoto S. Bitcoin: A Peer-to-Peer Electronic Cash System. https://bitcoin.org/bitcoin.pdf
  5. Back A. Hashcash - A Denial of Service Counter-Measure. http://hashcash.org/papers/hashcash.pdf
  6. Sompolinsky Y., Zohar A. Accelerating bitcoin's transaction processing: fast money grows on trees, not chains. IACR Cryptology ePrint Archive, 2013/881. https://eprint.iacr.org/2013/881
  7. Sompolinsky Y., Lewenberg Y., Zohar A. SPECTRE: A Fast and Scalable Cryptocurrency Protocol. IACR Cryptology ePrint Archive 2016/1159.
  8. Sompolinsky Y., Zohar A. Phantom. IACR Cryptology ePrint Archive, Report 2018/104. https://eprint.iacr.org/2018/104.pdf
  9. Popov S. The Tangle 2017, prizm.vip. https://pzm.space/prizm-whitepaper/
  10. Fitzi M., Gazi P., Kiayias A., Russell A. Parallel chains: Improving throughput and latency of blockchain protocols via parallel composition. Cryptology ePrint Archive, Report 2018/1119. https://eprint.iacr.org/2018/1119
  11. Pass R., Shi E. FruitChains: A fair blockchain. 36th ACMPODC, P. 315–324. ACM, July 2017.
    https://doi.org/10.1145/3087801.3087809
  12. Garoffolo A., Kaidalov D., Oliynykov R. Zendoo: a zk-SNARK verifiable cross-chain transfer protocol enabling decoupled and decentralized sidechains. IEEE. Institute of Electrical and Electronic Engineers. https://ieeexplore.ieee.org/document/9355752
  13. Grunspan C., Pérez-Marco R. Double spend races. CoRR abs/1702.02867 (2017). http://arxiv.org/abs/1702.02867
  14. Kovalchuk, L., Kostanda, V., Marukhnenko, O., Pozhylenkov, O. Achieving Security in Proof-of-Proof Protocol with Non-Zero Synchronization Time. MDPI Open Access Journal. Mathematics, 2022. №10(14), 2422. 
    https://doi.org/10.3390/math10142422

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