COMPUTER SIMULATION SYSTEM OF PRICE-FORMATION PROCESSES IN THE WHOLESALE ELECTRICITY MARKET

Author:

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

Abstract

The large-scale introduction into traditional energy systems of generating facilities and equipment that use renewable energy sources as part of the implementation of the energy decarbonization strategy leads to a change in the structure of electricity production and consumption, a rapid increase in the number of participants in trade and economic relations on the electricity market. This determines the need for conducting research in the direction of creating easy-to-use, functional object-oriented computer systems for modeling competitive market processes in terms of pricing management in order to increase the productivity and effectiveness of decisions made by market participants. The article formulates the principles, functionality and requirements for building such a class of computer modeling systems. Based on their application, the approximate composition of the functional modules of the computer system for modeling pricing processes with a single unified environment of information resources and computer models is determined. A deterministic algorithmic model is presented for the analysis of the dynamics of the volume distribution of electricity purchase and sale (demand) in the wholesale market segments as part of the computer models environment of the computer simulation system of price formation processes. The results of model calculations are presented for assessing the dynamics of demand in market segments, which are obtained using information resources and data presentation and visualization modules of the constructed computer simulation system. References 22, figures 2, table 1.

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)

Reference22 articles.

1. Directive of the European Parliament and of the Council of 13 July 2009 concerning common rules for the internal market in electricity: Directive 13.07.2009 р. No 2009/72/EC. URL: https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=celex%3A32009L0072 (accessed at 23.02.2024).

2. Blinov I.V., Parus Ye.V. Congestion management and minimization of price difference between coupled electricity markets. Tekhnichna Elektrodynamika. 2015. No 4. Pp. 81 - 88. (Ukr).

3. Kyrylenko O.V., Blinov I.V., Parus Ye.V., Ivanov G.A. Simulation model of the day-ahead electricity market with implicit consideration of power systems network constraints. Tekhnichna Elektrodynamika. 2019. No 5. Pp. 60-67. (Ukr). DOI: https://doi.org/10.15407/techned2019.05.060.

4. Ivanov H., Blinov I., Parus Ye. Simulation model of new electricity market in Ukraine. IEEE 6th International Conference on Energy Smart Systems (ESS), Kyiv, Ukraine, 17-19 April 2019. Pp. 339-342. DOI: https://doi.org/10.1109/ESS.2019.8764184 .

5. Saukh S.E., Borysenko A.V. Mathematical modeling of electric power systems in market conditions: monograph. Kyiv: Three K, 2020. 340 p. (Ukr).

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