Standard

Prospects for the Use of Intelligent Multi-agent Models for the Control of Objects of Deeply Integrated Power Systems. / Khalyasmaa, Aleksandra I.; Eroshenko, Stanislav A.; Mazunina, Marina V.
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 730-733.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Khalyasmaa, AI, Eroshenko, SA & Mazunina, MV 2022, Prospects for the Use of Intelligent Multi-agent Models for the Control of Objects of Deeply Integrated Power Systems. in 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc., pp. 730-733, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 11/11/2022. https://doi.org/10.1109/SIBIRCON56155.2022.10016945

APA

Khalyasmaa, A. I., Eroshenko, S. A., & Mazunina, M. V. (2022). Prospects for the Use of Intelligent Multi-agent Models for the Control of Objects of Deeply Integrated Power Systems. In 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022 (pp. 730-733). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON56155.2022.10016945

Vancouver

Khalyasmaa AI, Eroshenko SA, Mazunina MV. Prospects for the Use of Intelligent Multi-agent Models for the Control of Objects of Deeply Integrated Power Systems. In 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 730-733 doi: 10.1109/SIBIRCON56155.2022.10016945

Author

Khalyasmaa, Aleksandra I. ; Eroshenko, Stanislav A. ; Mazunina, Marina V. / Prospects for the Use of Intelligent Multi-agent Models for the Control of Objects of Deeply Integrated Power Systems. 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 730-733

BibTeX

@inproceedings{6d97d7a3f72b40088f5dc061798af402,
title = "Prospects for the Use of Intelligent Multi-agent Models for the Control of Objects of Deeply Integrated Power Systems",
abstract = "The paper considers the approach of using multi-agent models in simulation and decision making of complex systems. Furthermore, an overview of research in the field of multi-agent systems and software platforms for their implementation is carried out. In addition, an analysis of the applicability of intelligent multi-agent systems in the tasks of modelling, optimization and management of energy facilities is performed. This study shows that power industry can use intelligent multi-agent systems not only for the tasks of modelling the interaction of subjects as suppliers and consumers of electricity in the wholesale electricity market and other problems of game theory considering a small number of agents' types. Moreover, intelligent multi-agent systems can be used to model power systems when it is necessary to take into account the deep integration of the systems. This is understood in the work as dependencies at the level of physical processes of generation, transmission, distribution and consumption of electricity, and at the level of interaction between large technological objects and economic entities. At the second level, it is necessary to consider infrastructure linkages and legal regulations for the economic interaction. As an example, the paper considers a hydropower plant. The entity that manages it must take into account not only the features of the station as a complex electrical facility itself, but also the features of the water usage regime, electricity consumption schedules, meteorological factors, etc. In turn, the use of water resources affects the interests of a large number of subjects, which also needs to be reckoned.",
author = "Khalyasmaa, {Aleksandra I.} and Eroshenko, {Stanislav A.} and Mazunina, {Marina V.}",
note = "The research was carried out within the state assignment with the financial support of the Ministry of Science and Higher Education of the Russian Federation (subject No. FEUZ-2022-0030 Development of an intelligent multi-agent system for modeling deeply integrated technological systems in the power industry); 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) ; Conference date: 11-11-2022 Through 13-11-2022",
year = "2022",
month = nov,
day = "11",
doi = "10.1109/SIBIRCON56155.2022.10016945",
language = "English",
isbn = "978-166546480-2",
pages = "730--733",
booktitle = "2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Prospects for the Use of Intelligent Multi-agent Models for the Control of Objects of Deeply Integrated Power Systems

AU - Khalyasmaa, Aleksandra I.

AU - Eroshenko, Stanislav A.

AU - Mazunina, Marina V.

N1 - The research was carried out within the state assignment with the financial support of the Ministry of Science and Higher Education of the Russian Federation (subject No. FEUZ-2022-0030 Development of an intelligent multi-agent system for modeling deeply integrated technological systems in the power industry)

PY - 2022/11/11

Y1 - 2022/11/11

N2 - The paper considers the approach of using multi-agent models in simulation and decision making of complex systems. Furthermore, an overview of research in the field of multi-agent systems and software platforms for their implementation is carried out. In addition, an analysis of the applicability of intelligent multi-agent systems in the tasks of modelling, optimization and management of energy facilities is performed. This study shows that power industry can use intelligent multi-agent systems not only for the tasks of modelling the interaction of subjects as suppliers and consumers of electricity in the wholesale electricity market and other problems of game theory considering a small number of agents' types. Moreover, intelligent multi-agent systems can be used to model power systems when it is necessary to take into account the deep integration of the systems. This is understood in the work as dependencies at the level of physical processes of generation, transmission, distribution and consumption of electricity, and at the level of interaction between large technological objects and economic entities. At the second level, it is necessary to consider infrastructure linkages and legal regulations for the economic interaction. As an example, the paper considers a hydropower plant. The entity that manages it must take into account not only the features of the station as a complex electrical facility itself, but also the features of the water usage regime, electricity consumption schedules, meteorological factors, etc. In turn, the use of water resources affects the interests of a large number of subjects, which also needs to be reckoned.

AB - The paper considers the approach of using multi-agent models in simulation and decision making of complex systems. Furthermore, an overview of research in the field of multi-agent systems and software platforms for their implementation is carried out. In addition, an analysis of the applicability of intelligent multi-agent systems in the tasks of modelling, optimization and management of energy facilities is performed. This study shows that power industry can use intelligent multi-agent systems not only for the tasks of modelling the interaction of subjects as suppliers and consumers of electricity in the wholesale electricity market and other problems of game theory considering a small number of agents' types. Moreover, intelligent multi-agent systems can be used to model power systems when it is necessary to take into account the deep integration of the systems. This is understood in the work as dependencies at the level of physical processes of generation, transmission, distribution and consumption of electricity, and at the level of interaction between large technological objects and economic entities. At the second level, it is necessary to consider infrastructure linkages and legal regulations for the economic interaction. As an example, the paper considers a hydropower plant. The entity that manages it must take into account not only the features of the station as a complex electrical facility itself, but also the features of the water usage regime, electricity consumption schedules, meteorological factors, etc. In turn, the use of water resources affects the interests of a large number of subjects, which also needs to be reckoned.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85147498554

U2 - 10.1109/SIBIRCON56155.2022.10016945

DO - 10.1109/SIBIRCON56155.2022.10016945

M3 - Conference contribution

SN - 978-166546480-2

SP - 730

EP - 733

BT - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

Y2 - 11 November 2022 through 13 November 2022

ER -

ID: 34717225