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dc.contributor.authorGusev, S. A.en
dc.contributor.authorKotov, O. M.en
dc.contributor.authorOboskalov, V. P.en
dc.date.accessioned2019-07-22T06:48:25Z-
dc.date.available2019-07-22T06:48:25Z-
dc.date.issued2014-
dc.identifier.citationGusev S. A. Meshed power system reliability estimation techniques / S. A. Gusev, O. M. Kotov, V. P. Oboskalov // WIT Transactions on Ecology and the Environment. — 2014. — Vol. 190 VOLUME 1. — P. 235-247.en
dc.identifier.issn1743-3541-
dc.identifier.otherhttp://www.witpress.com/Secure/elibrary/papers/EQ14/EQ14024FU1.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.other2f30b40d-ffab-4de6-858a-d4cdd8e2717bpure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=84897891086m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/75743-
dc.description.abstractElectrical power system (EPS) reliability indices (RI) are calculated at both the operating and planning stages of power system operation. RI calculation is the key concern for power reserve estimating and dispatching, validating the new generation capacity and tie line installations, basic facility maintenance planning, selecting distribution substation key diagrams and local power system connecting diagrams and specifying the energy and power charges. The primary barrier to fast RI calculation is a meshed and hierarchical structure of a power system, the analysis of which is more of a challenge for an engineer. Additionally, there are a number of issues concerning the probabilistic nature of RI. This paper presents novel mathematical algorithms that have been developed at the department of automated power systems (DAPS) of the Ural Federal University. © 2014 WIT Press.en
dc.description.sponsorshipInternational Journal of Safety and Security Engineering;International Journal of Sustainable Development and Planning;WIT Transactions on Ecology and the Environmenten
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherWITPressen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceWIT Transactions on Ecology and the Environmenten
dc.subjectMONTE-CARLO SIMULATIONen
dc.subjectN-1 CRITERIONen
dc.subjectPOWER SYSTEM ADEQUACYen
dc.subjectPOWER SYSTEM SECURITYen
dc.subjectRELIABILITY INDICESen
dc.subjectSIMULTANEOUS FAILURESen
dc.subjectSTOCHASTIC NETWORK REDUCTIONen
dc.subjectSTRUCTURAL RELIABILITYen
dc.subjectALGORITHMen
dc.subjectELECTRICAL POWERen
dc.subjectESTIMATION METHODen
dc.subjectFAILURE ANALYSISen
dc.subjectHIERARCHICAL SYSTEMen
dc.subjectMAINTENANCEen
dc.subjectMONTE CARLO ANALYSISen
dc.subjectPROBABILITYen
dc.subjectRELIABILITY ANALYSISen
dc.subjectSTOCHASTICITYen
dc.titleMeshed power system reliability estimation techniquesen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.name1st International Conference on Energy Production and Management in the 21st Century: The Quest for Sustainable Energyen
dc.conference.date23 April 2014 through 25 April 2014-
dc.identifier.doi10.2495/EQ140241-
dc.identifier.scopus84897891086-
local.affiliationUral Federal University, Russian Federationen
local.contributor.employeeГусев Сергей Александровичru
local.contributor.employeeКотов Олег Михайловичru
local.contributor.employeeОбоскалов Владислав Петровичru
local.description.firstpage235-
local.description.lastpage247-
local.volume190 VOLUME 1-
local.identifier.pure379318-
local.identifier.eid2-s2.0-84897891086-
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