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http://elar.urfu.ru/handle/10995/102162
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DC Field | Value | Language |
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dc.contributor.author | Zhavoronkov, A. E. | en |
dc.contributor.author | Aksyonova, O. P. | en |
dc.date.accessioned | 2021-08-31T15:02:12Z | - |
dc.date.available | 2021-08-31T15:02:12Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Zhavoronkov A. E. Application of multi-agent approach in the electric power control systems within the active energy complex / A. E. Zhavoronkov, O. P. Aksyonova. — DOI 10.1088/1742-6596/1694/1/012017 // Journal of Physics: Conference Series. — 2020. — Vol. 1694. — Iss. 1. — 012017. | en |
dc.identifier.issn | 17426588 | - |
dc.identifier.other | Final | 2 |
dc.identifier.other | All Open Access, Bronze | 3 |
dc.identifier.other | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099047302&doi=10.1088%2f1742-6596%2f1694%2f1%2f012017&partnerID=40&md5=6bf9b3cd1fed26d42d44f8cd44bb1a15 | |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/102162 | - |
dc.description.abstract | This paper provides an analytical overview of artificial intelligence technologies used in the tasks of technological management of the electric power industry. The relevance of using multi-agent systems is proved for solving energy problems. The concept of an intelligent energy system is considered with an active adaptive network (IES AAN). A block diagram of the electric power system management system is given within the IES AAN. It is shown that the developed centralized management principles are not fully applicable for small distribution networks - microgrid, with the use of storage devices and renewable sources. The article describes the active energy complex in Russia in the context of an analog of the Microgrid concept. The required functionality of a intelligent controllable connection (ICC) is studied, the main algorithm of the ICC operation is given, and the proposed structure is described for building a distributed system of intelligent multi-agent control of the AEC that implements the required functions. © Published under licence by IOP Publishing Ltd. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | IOP Publishing Ltd | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | J. Phys. Conf. Ser. | 2 |
dc.source | Journal of Physics: Conference Series | en |
dc.subject | COMPLEX NETWORKS | en |
dc.subject | CONTROL SYSTEMS | en |
dc.subject | DISTRIBUTED DATABASE SYSTEMS | en |
dc.subject | ELECTRIC INDUSTRY | en |
dc.subject | INTELLIGENT AGENTS | en |
dc.subject | INTELLIGENT CONTROL | en |
dc.subject | MICROGRIDS | en |
dc.subject | MULTI AGENT SYSTEMS | en |
dc.subject | POWER CONTROL | en |
dc.subject | VIRTUAL STORAGE | en |
dc.subject | ARTIFICIAL INTELLIGENCE TECHNOLOGIES | en |
dc.subject | CENTRALIZED MANAGEMENT | en |
dc.subject | DISTRIBUTED SYSTEMS | en |
dc.subject | ELECTRIC POWER INDUSTRIES | en |
dc.subject | INTELLIGENT ENERGIES | en |
dc.subject | INTELLIGENT MULTI-AGENT | en |
dc.subject | MULTI-AGENT APPROACH | en |
dc.subject | REQUIRED FUNCTIONALITIES | en |
dc.subject | ELECTRIC POWER SYSTEM CONTROL | en |
dc.title | Application of multi-agent approach in the electric power control systems within the active energy complex | en |
dc.type | Conference Paper | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.1088/1742-6596/1694/1/012017 | - |
dc.identifier.scopus | 85099047302 | - |
local.contributor.employee | Zhavoronkov, A.E., Information Technology and Automation Department, Ural Federal University, Ekaterinburg, Russian Federation | |
local.contributor.employee | Aksyonova, O.P., Information Technology and Automation Department, Ural Federal University, Ekaterinburg, Russian Federation | |
local.issue | 1 | - |
local.volume | 1694 | - |
local.contributor.department | Information Technology and Automation Department, Ural Federal University, Ekaterinburg, Russian Federation | |
local.identifier.pure | 20453389 | - |
local.identifier.pure | c348a439-b199-42ff-9cf1-f441c036bdb1 | uuid |
local.description.order | 012017 | - |
local.identifier.eid | 2-s2.0-85099047302 | - |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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File | Description | Size | Format | |
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2-s2.0-85099047302.pdf | 738,05 kB | Adobe PDF | View/Open |
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