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dc.contributor.authorSamoylenko, V.en
dc.contributor.authorFirsov, A.en
dc.contributor.authorPazderin, A.en
dc.contributor.authorIlyushin, P.en
dc.date.accessioned2022-05-12T08:19:12Z-
dc.date.available2022-05-12T08:19:12Z-
dc.date.issued2021-
dc.identifier.citationDistribution Grid Future Planning under Uncertainty Conditions / V. Samoylenko, A. Firsov, A. Pazderin et al. // Renewable Energy and Power Quality Journal. — 2021. — Vol. 19. — P. 499-504. — 329.en
dc.identifier.issn2172-038X-
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.urihttp://elar.urfu.ru/handle/10995/111563-
dc.description.abstractThe paper presents an approach for making decisions about the future development of a distribution grid under uncertainty conditions. The levels of a grid hosting capacity and adequacy are examined using probabilistic approach compared to the conventional deterministic fit-and-forget approach. It is shown that the probabilistic approach according to the 99 % confidence probability saves significant costs in comparison with the deterministic approach. The probabilistic calculations prove the use of an equipment rated capacity downsized by 2 points of a typical IEC scale, and in some cases to refuse the construction of a parallel circuit. The main contribution of the paper is a method for choosing an effective rated voltage of a distribution grid in a probabilistic interpretation based on the conventional formulas of Still, Zalessky and Illarionov. The technique includes obtaining the probability of loads location at different distances from power supply centre and the probability of load power distribution in a given range of values. It is shown that the calculation using the developed method makes possible to prefer grid rated voltage at least 1 point downsized by IEC scale with sufficient savings due to the difference in the equipment price compared with the deterministic fit-and-forget approach. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.en
dc.description.sponsorshipProposed results are the outcome of work on the topic "Development and testing algorithms and technical solutions for digital control of power facilities" within integrated project "Improvement of approaches to digital management of power facilities".en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherEuropean Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ)en1
dc.publisherAEDERMACP (European Association for the Development of Renewable Energies and Power Quality)en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceRenewable Energy and Power Qual. J.2
dc.sourceRenewable Energy and Power Quality Journalen
dc.subjectDECISION MAKINGen
dc.subjectDISTRIBUTED ENERGY RESOURCESen
dc.subjectDISTRIBUTION GRIDen
dc.subjectFUTURE PLANNINGen
dc.subjectUNCERTAINTY CONDITIONSen
dc.subjectCONSTRUCTION EQUIPMENTen
dc.subjectCONFIDENCE PROBABILITYen
dc.subjectDETERMINISTIC APPROACHen
dc.subjectDISTRIBUTION GRIDen
dc.subjectEQUIPMENT PRICESen
dc.subjectHOSTING CAPACITYen
dc.subjectPARALLEL CIRCUITSen
dc.subjectPROBABILISTIC APPROACHESen
dc.subjectPROBABILISTIC INTERPRETATIONen
dc.subjectPROBABILITY DISTRIBUTIONSen
dc.titleDistribution Grid Future Planning under Uncertainty Conditionsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi47053796-
dc.identifier.doi10.24084/repqj19.329-
dc.identifier.scopus85114667691-
local.contributor.employeeSamoylenko, V., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 6200002, Russian Federation; Firsov, A., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 6200002, Russian Federation; Pazderin, A., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 6200002, Russian Federation; Ilyushin, P., Energy Research Institute, Russian Academy of Sciences, Moscow, 117186, Russian Federationen
local.description.firstpage499-
local.description.lastpage504-
local.volume19-
local.contributor.departmentDepartment of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 6200002, Russian Federation; Energy Research Institute, Russian Academy of Sciences, Moscow, 117186, Russian Federationen
local.identifier.pure23739326-
local.description.order329-
local.identifier.eid2-s2.0-85114667691-
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