2. Home
  3. ARCHIVE
  4. 2023
  5. VOL 45, NO 6 (2023)
  6. pp. 15-30

CONSTRUCTION OF THE MULTI-AGENT ENVIRONMENT ARCHITECTURE OF THE PRICING PROCESS SIMULATION MODEL IN THE ELECTRICITY MARKET

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

Èlektron. model. 2023, 45(6):15-30

https://doi.org/10.15407/emodel.45.06.015

ABSTRACT

The question of building the architecture of the multi-agent environment of the simulation model of the pricing process, as a space of heterogeneous interconnected organizational, informational, technological and economic interactions of the simulated agents of the pricing process, is considered.Using the example of a complex organizational and technical system (COTS) of the electricity micro-market in local electric power systems, the set of agents surrounding them and ensuring the vital activity of the COTS of pricing is formalized, consisting of classified internal agents and environmental agents with a definition of their functional purpose. It was established that a set of partially observable influence factors of subjects of the electricity micro-market external environment are additionally formalized in the multi-agent pricing system as communication agents with stochastic, dynamic. but with discrete fixation of distinct states of observation processes in this environment. As a result, the simulation model of the pricing process is presented as a heterogeneous distributed multi-agent system.

KEYWORDS

simulation model, local electric power system, multi-agent system, electricity micro-market, pricing process.

REFERENCES

  1. Mokhor, V.V. and Evdokimov, V.A. (2020), “Creation of a multi-agent simulation model of pricing processes in the electricity market”, Elektronne Modelyuvannya, Vol. 42, no. 6, pp. 3-17, available at: https://doi.org/10.15407/emodel.42.06
  2. Kyrylenko, A.V. ed. (2016), Intelligent electric power systems: elements and modes, Institut elektrodinamiki, Kyiv, Ukraine, available at: https://www.ied.org.ua/files/book3.pdf.
  3. 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, Kyiv, Ukraine. 182
  4. Kyrylenko, O.V., Denysyuk, S.P., Tankevich, S.E. and Bazyuk, T.M. (2016), “Information and regulatory support for the organization of multi-agent management of the electric power system with an active consumer”, Information technology and computer engineering, no. 1, pp. 29-34.
  5. Saukh, S.E. and Borysenko, A.V. (2023), “Mathematical model of a flexible micro grid integrated into the country grid”, Tekhnichna Elektrodynamika, no. 2, pp. 61-68, available at: https://doi.org/10.15407/techned2023.02.061
  6. Macal, C. and North, M. (2010), “Tutorial on agent-based modelling and simulation”, Journal of Simulation, no. 4, pp. 151–162, available at: https://doi.org/10.1057/jos.2010.3
  7. Zhou, Z., Chan, W.K. and Chow, J.H. (2007), “Agent-based simulation of electricity markets: a survey of tools”, Artificial Intelligence Review, Vol. 28, pp. 305-342, available at: https://doi.org/10.1007/s10462-009-9105-x
  8. Leigh Tesfatsion. ACE Research Area: Electric Power System Design 2023: https://www2.econ.iastate.edu/tesfatsi/aelect.htm (accessed 10.08.2023).
  9. Yalovets, A.L. (2019), Multi-agent simulation of pursuit on a plane: from theory to software implementation, Naukova dumka, Kyiv, Ukraine. 165 р.
  10. Wooldridge, M. (2002), An Introduction to Multiagent Systems, John Wiley & Sons Ltd. 348
  11. Wooldridge, M. (2000), Reasoning about rational agent, The MIT Press. 227
  12. Franklin, S. and Graesser, C. (1996), “Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents”, Intelligent Agents III, Agent Theories, Architectures, and Languages, ECAI ‘96 Workshop (ATAL) Proceedings, Budapest, Hungary, August 12-13, 1996, Lecture Notes in Computer Science, Vol. 1193, pp. 22-35.
    https://doi.org/10.1007/BFb0013570
  13. Evdokimov, V.A. (2021), “Formulation of the task of building a multi-agent simulation model of pricing processes in the electricity market”, Elektronne Modelyuvannya, 43, no. 3, pp. 47-63.
    https://doi.org/10.15407/emodel.43.03.047
  14. Evdokimov, V.A. (2023), Mathematical and information technology support of the computer system for modeling energy market pricing processes: monograph, European Scientific Platform, Vinnitsa, Ukraine, available at: https://doi.10.36074/Yevdokimov-mono­graph.2023.
  15. 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, pp. 18-23, available at: https://doi.org/10.15407/visn2022.03.018.
  16. The National Commission, which carries out state regulation in the spheres of energy and communal services, On the approval of the Market Rules, Resolution No. 307 of March 14, 2018, available at: https://zakon.rada.gov.ua/laws/show/v0307874-18/page#Text (accessed 10.10.2023).
  17. The National Commission, which carries out state regulation in the spheres of energy and communal services, On the approval of the Rules of the day-ahead market and the intraday market, Resolution No. 308 of March 14, 2018, available at: https://zakon.rada.gov.ua/laws/show/v0307874-18/page#Text (accessed 10.10.2023).
  18. The National Commission, which carries out state regulation in the spheres of energy and communal services, On the approval of the Code of commercial accounting of electric ener­gy, Resolution No. 311 of March 14, 2018, available at: https://zakon.rada.gov.ua/laws/show/v0307874-18/page#Text (accessed 10.10.2023).
  19. Russell, S. and Norvig, P. (2007), Artificial intelligence: a modern approach, 2nd ed.: trans. with english, Publishing house "Williams", Moscow, Russia.
  20. The National Commission, which carries out state regulation in the spheres of energy and communal services, On the approval of the Rules of the retail electricity market, Resolution No. 312 of March 14, 2018, available at: https://zakon.rada.gov.ua (accessed 10.10.2023).
  21. Borukaiev, Z.Kh., Yevdokimov, V.A. and Ostapchenko, K.B. (2022), “Computational method of nodal transformation of the pricing process in the electricity market”, Tekh­nichna Elektrodynamika, no. 5, pp. 67-76, available at: https://doi.org/10.15407/techned2022.05.067.

Full text: PDF