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dc.contributor.authorAsanov, M.en
dc.contributor.authorKokin, S.en
dc.contributor.authorAsanova, S.en
dc.contributor.authorSatarkulov, K.en
dc.contributor.authorDmitriev, S.en
dc.contributor.authorSafaraliev, M.en
dc.date.accessioned2021-08-31T15:00:59Z-
dc.date.available2021-08-31T15:00:59Z-
dc.date.issued2020-
dc.identifier.citationThe use of Petri computing networks for optimization of the structure of distribution networks to minimize power losses / M. Asanov, S. Kokin, S. Asanova, et al. — DOI 10.1016/j.egyr.2020.11.024 // Energy Reports. — 2020. — Vol. 6. — P. 1337-1343.en
dc.identifier.issn23524847-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Hybrid Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85098205345&doi=10.1016%2fj.egyr.2020.11.024&partnerID=40&md5=c2b21d89510528310e9556e1bb743ccb
dc.identifier.urihttp://elar.urfu.ru/handle/10995/101973-
dc.description.abstractThe paper suggests a self-organizing multi-component computational algorithm as a solution to the problem of optimizing the structure of distribution electrical networks to minimize the loss of power. The suggested algorithm is consistent with the method of branches and borders and uses the apparatus of the Petri computer networks (PCN) apparatus. The PCN apparatus has a universal computational capability to process symbolic-numeric data, which along with the solution of calculating problems, provides for the structural and logical analysis of the systems and processes under study. The structure of the PCN based algorithm is similar to the studied system, which provides for better visualization and convenience of interpretation, modification, and implementation of this algorithm on one or more computers by paralleling computational processes for better system performance. Computing modules within the general text of the algorithm can be arranged in any given order and solve the problem by organizing themselves in the process of functioning. © 2020en
dc.description.sponsorshipThe reported research was partly funded by Russian Foundation for Basic Research and the government of the Yamal region of the Russian Federation , grant No. 19-48-890001.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceEnergy Rep.2
dc.sourceEnergy Reportsen
dc.subjectALGORITHMen
dc.subjectCOMPUTATIONAL MODULESen
dc.subjectDISTRIBUTION ELECTRICAL NETWORKSen
dc.subjectGRAPHen
dc.subjectLOSS OF ELECTRICITYen
dc.subjectOPTIMIZATION OF NETWORK STRUCTUREen
dc.subjectPETRI NETWORKSen
dc.subjectENERGY MANAGEMENTen
dc.subjectENERGY RESOURCESen
dc.subjectCOMPUTATIONAL ALGORITHMen
dc.subjectCOMPUTATIONAL CAPABILITYen
dc.subjectCOMPUTATIONAL PROCESSen
dc.subjectELECTRICAL NETWORKSen
dc.subjectLOGICAL ANALYSISen
dc.subjectMULTICOMPONENTSen
dc.subjectSYMBOLIC NUMERICSen
dc.subjectSYSTEMS AND PROCESSen
dc.subjectSTRUCTURAL OPTIMIZATIONen
dc.titleThe use of Petri computing networks for optimization of the structure of distribution networks to minimize power lossesen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.egyr.2020.11.024-
dc.identifier.scopus85098205345-
local.contributor.employeeAsanov, M., Department of the Theoretical Foundations of Electrical Engineering, Kyrgyz State Technical University, Bishkek, Kyrgyzstan
local.contributor.employeeKokin, S., Department of Automated Electrical Systems, Ural Federal University, Ekaterinburg, Russian Federation
local.contributor.employeeAsanova, S., Department of the Theoretical Foundations of Electrical Engineering, Kyrgyz State Technical University, Bishkek, Kyrgyzstan
local.contributor.employeeSatarkulov, K., Branch of Academician H.A. Rakhmatulin in Tokmok at the Kyrgyz State Technical University, Tokmok, Kyrgyzstan
local.contributor.employeeDmitriev, S., Department of Automated Electrical Systems, Ural Federal University, Ekaterinburg, Russian Federation
local.contributor.employeeSafaraliev, M., Department of Automated Electrical Systems, Ural Federal University, Ekaterinburg, Russian Federation
local.description.firstpage1337-
local.description.lastpage1343-
local.volume6-
dc.identifier.wos000604392100183-
local.contributor.departmentDepartment of the Theoretical Foundations of Electrical Engineering, Kyrgyz State Technical University, Bishkek, Kyrgyzstan
local.contributor.departmentDepartment of Automated Electrical Systems, Ural Federal University, Ekaterinburg, Russian Federation
local.contributor.departmentBranch of Academician H.A. Rakhmatulin in Tokmok at the Kyrgyz State Technical University, Tokmok, Kyrgyzstan
local.identifier.pure3f07a838-ad17-4987-864f-a47ac2e4bf23uuid
local.identifier.pure20413379-
local.identifier.eid2-s2.0-85098205345-
local.fund.rffi19-48-890001-
local.identifier.wosWOS:000604392100183-
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