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dc.contributor.authorGulakhmadov, A.en
dc.contributor.authorTavlintsev, A.en
dc.contributor.authorPankratov, A.en
dc.contributor.authorSuvorov, A.en
dc.contributor.authorKovaleva, A.en
dc.contributor.authorLipnitskiy, I.en
dc.contributor.authorSafaraliev, M.en
dc.contributor.authorSemenenko, S.en
dc.contributor.authorGubin, P.en
dc.contributor.authorDmitriev, S.en
dc.contributor.authorRasulzoda, K.en
dc.date.accessioned2021-08-31T15:06:27Z-
dc.date.available2021-08-31T15:06:27Z-
dc.date.issued2021-
dc.identifier.citationA Statistical-Based Approach to Load Model Parameter Identification / A. Gulakhmadov, A. Tavlintsev, A. Pankratov, et al. — DOI 10.1109/ACCESS.2021.3076690 // IEEE Access. — 2021. — Vol. 9. — P. 66915-66928. — 9419005.en
dc.identifier.issn21693536-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85105114216&doi=10.1109%2fACCESS.2021.3076690&partnerID=40&md5=eb1cc9c59a4641cca5b414eb063d6a34
dc.identifier.otherhttps://ieeexplore.ieee.org/ielx7/6287639/6514899/09419005.pdfm
dc.identifier.urihttp://elar.urfu.ru/handle/10995/102934-
dc.description.abstractIn the last few years, a great number of methods for identifying the load model parameters have been proposed. This article discusses the use of statistical approach to estimate the substation equivalent load model parameters for supplying to oil-producing industrial region. The disadvantages of existing statistical approach are the low accuracy obtained for the parameter estimates, especially when using samples size is small. To eliminate this deficiency, the current measurement data archive from SCADA system of electrical parameters for 15 months was collected. For the purpose of verifying the obtained results of statistical processing of SCADA data, a full-scale experiment was carried out in relation to the studied substation. The article describes the statistical method used to process the current SCADA measurement data, the results of archived statistical processing and experimental SCADA data. The electrical load models' parameters received from the experimental studies results are of practical importance. © 2013 IEEE.en
dc.description.sponsorshipThis work was supported in part by the Strategic Priority Research Program of the Chinese Academy of Sciences, in part by the Pan-Third Pole Environment Study for a Green Silk Road under Grant XDA20060303, in part by the K. C. Wong Education Foundation under Grant GJTD-2020-14, in part by the International Cooperation Project of National Natural Science Foundation of China under Grant 41761144079, in part by the CAS PIFI Fellowship under Grant 2021PC0002, in part by the Xinjiang Tianchi Hundred Talents Program under Grant Y848041, in part by the CAS Interdisciplinary Innovation Team under Grant JCTD-2019-20, in part by the project of the Research Center of Ecology and Environment in Central Asia under Grant Y934031, and in part by the Regional Collaborative Innovation Project of Xinjiang Uygur Autonomous Regions under Grant 2020E01010.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIEEE Access2
dc.sourceIEEE Accessen
dc.subjectLOAD MODELINGen
dc.subjectPOWER SYSTEMen
dc.subjectPOWER SYSTEM STUDYen
dc.subjectSTATIC LOAD MODELen
dc.subjectZIP MODELen
dc.subjectDATA HANDLINGen
dc.subjectELECTRIC LOADSen
dc.subjectSCADA SYSTEMSen
dc.subjectSTATISTICSen
dc.subjectELECTRICAL PARAMETERen
dc.subjectEQUIVALENT LOAD MODELen
dc.subjectFULL-SCALE EXPERIMENTen
dc.subjectPARAMETER ESTIMATEen
dc.subjectPRACTICAL IMPORTANCEen
dc.subjectSCADA MEASUREMENTSen
dc.subjectSTATISTICAL APPROACHen
dc.subjectSTATISTICAL PROCESSINGen
dc.subjectPARAMETER ESTIMATIONen
dc.titleA Statistical-Based Approach to Load Model Parameter Identificationen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi46044948-
dc.identifier.doi10.1109/ACCESS.2021.3076690-
dc.identifier.scopus85105114216-
local.contributor.employeeGulakhmadov, A., Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China, Ministry of Energy and Water Resources (Tajikistan), Dushanbe, 734064, Tajikistan
local.contributor.employeeTavlintsev, A., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeePankratov, A., System Operator of the United Power System, Tomsk, 634041, Russian Federation
local.contributor.employeeSuvorov, A., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeKovaleva, A., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeLipnitskiy, I., HP Inc., Portland, OR 97211, United States
local.contributor.employeeSafaraliev, M., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeSemenenko, S., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeGubin, P., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeDmitriev, S., Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeRasulzoda, K., Andritz Hydro GmbH, Ravensburg, 88212, Germany
local.description.firstpage66915-
local.description.lastpage66928-
local.volume9-
dc.identifier.wos000648326800001-
local.contributor.departmentResearch Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
local.contributor.departmentState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China
local.contributor.departmentMinistry of Energy and Water Resources (Tajikistan), Dushanbe, 734064, Tajikistan
local.contributor.departmentDepartment of Automated Electrical Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.departmentSystem Operator of the United Power System, Tomsk, 634041, Russian Federation
local.contributor.departmentHP Inc., Portland, OR 97211, United States
local.contributor.departmentAndritz Hydro GmbH, Ravensburg, 88212, Germany
local.identifier.pure21863298-
local.identifier.pure1bbb5439-72ca-420b-994e-6c9a33e8851fuuid
local.description.order9419005-
local.identifier.eid2-s2.0-85105114216-
local.identifier.wosWOS:000648326800001-
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