Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/102162
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dc.contributor.authorZhavoronkov, A. E.en
dc.contributor.authorAksyonova, O. P.en
dc.date.accessioned2021-08-31T15:02:12Z-
dc.date.available2021-08-31T15:02:12Z-
dc.date.issued2020-
dc.identifier.citationZhavoronkov 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.issn17426588-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.otherhttps://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.urihttp://elar.urfu.ru/handle/10995/102162-
dc.description.abstractThis 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.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherIOP Publishing Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceJ. Phys. Conf. Ser.2
dc.sourceJournal of Physics: Conference Seriesen
dc.subjectCOMPLEX NETWORKSen
dc.subjectCONTROL SYSTEMSen
dc.subjectDISTRIBUTED DATABASE SYSTEMSen
dc.subjectELECTRIC INDUSTRYen
dc.subjectINTELLIGENT AGENTSen
dc.subjectINTELLIGENT CONTROLen
dc.subjectMICROGRIDSen
dc.subjectMULTI AGENT SYSTEMSen
dc.subjectPOWER CONTROLen
dc.subjectVIRTUAL STORAGEen
dc.subjectARTIFICIAL INTELLIGENCE TECHNOLOGIESen
dc.subjectCENTRALIZED MANAGEMENTen
dc.subjectDISTRIBUTED SYSTEMSen
dc.subjectELECTRIC POWER INDUSTRIESen
dc.subjectINTELLIGENT ENERGIESen
dc.subjectINTELLIGENT MULTI-AGENTen
dc.subjectMULTI-AGENT APPROACHen
dc.subjectREQUIRED FUNCTIONALITIESen
dc.subjectELECTRIC POWER SYSTEM CONTROLen
dc.titleApplication of multi-agent approach in the electric power control systems within the active energy complexen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1088/1742-6596/1694/1/012017-
dc.identifier.scopus85099047302-
local.contributor.employeeZhavoronkov, A.E., Information Technology and Automation Department, Ural Federal University, Ekaterinburg, Russian Federation
local.contributor.employeeAksyonova, O.P., Information Technology and Automation Department, Ural Federal University, Ekaterinburg, Russian Federation
local.issue1-
local.volume1694-
local.contributor.departmentInformation Technology and Automation Department, Ural Federal University, Ekaterinburg, Russian Federation
local.identifier.pure20453389-
local.identifier.purec348a439-b199-42ff-9cf1-f441c036bdb1uuid
local.description.order012017-
local.identifier.eid2-s2.0-85099047302-
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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