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dc.contributor.authorKazantsev, Y. V.en
dc.contributor.authorGlazyrin, G. V.en
dc.contributor.authorKhalyasmaa, A. I.en
dc.contributor.authorShayk, S. M.en
dc.contributor.authorKuparev, M. A.en
dc.date.accessioned2024-04-08T11:06:13Z-
dc.date.available2024-04-08T11:06:13Z-
dc.date.issued2022-
dc.identifier.citationKazantsev, YV, Glazyrin, GV, Khalyasmaa, AI, Shayk, SM & Kuparev, MA 2022, 'Advanced Algorithms in Automatic Generation Control of Hydroelectric Power Plants', Mathematics, Том. 10, № 24, стр. 4809. https://doi.org/10.3390/math10244809harvard_pure
dc.identifier.citationKazantsev, Y. V., Glazyrin, G. V., Khalyasmaa, A. I., Shayk, S. M., & Kuparev, M. A. (2022). Advanced Algorithms in Automatic Generation Control of Hydroelectric Power Plants. Mathematics, 10(24), 4809. https://doi.org/10.3390/math10244809apa_pure
dc.identifier.issn2227-7390-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Gold Open Access3
dc.identifier.otherhttps://www.mdpi.com/2227-7390/10/24/4809/pdf?version=16716111321
dc.identifier.otherhttps://www.mdpi.com/2227-7390/10/24/4809/pdf?version=1671611132pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/131297-
dc.description.abstractThe problem of load distribution between hydraulic units at hydropower plants is a difficult task due to the nonlinearity of hydro turbine characteristics and individual peculiarities of the generation units, in which operating conditions are often different. It is necessary to apply the most up-to-date optimization methods that take into account the nonlinearity of the turbine characteristics. The methods must also consider strict constraints on the operation conditions of the power equipment when searching for the extremum of the objective function specified in the form of equalities and inequalities. When solving the aforementioned optimization problem, the constraints on computing capacities of the digital automatic generation control systems that must operate in real-time mode were taken into account. To solve the optimization task, the interior point method was analyzed and the method of Lagrange multipliers was modified so that it could minimize turbine discharge and active energy losses in the windings of the power generators and unit power transformers. The article presents the simulation results of the developed optimization algorithms and the results of the field tests of the automatic generation control system executing the proposed algorithms. All of the tests showed a fairly high efficiency of the proposed optimization methods in real operation conditions. © 2022 by the authors.en
dc.description.sponsorshipMinistry of Education and Science of the Russian Federation, Minobrnauka, (FEUZ-2022-0030)en
dc.description.sponsorshipThe research was carried out within the state assignment with the financial support of the Ministry of Science and Higher Education of the Russian Federation (subject No. FEUZ-2022-0030 Development of an intelligent multi-agent system for modeling deeply integrated technological systems in the power industry).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPIen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/unpaywall
dc.sourceMathematics2
dc.sourceMathematicsen
dc.subjectACTIVE AND REACTIVE POWER CONTROLen
dc.subjectAUTOMATIC GENERATION CONTROLen
dc.subjectHYDRAULIC TURBINESen
dc.subjectHYDROELECTRIC POWER PLANTSen
dc.subjectSTEADY-STATE STABILITY OF HYDROELECTRIC GENERATORen
dc.subjectWATER FLOW OPTIMIZATIONen
dc.titleAdvanced Algorithms in Automatic Generation Control of Hydroelectric Power Plantsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/math10244809-
dc.identifier.scopus85146274562-
local.contributor.employeeKazantsev Y.V., Power Plants Department, Novosibirsk State Technical University, Novosibirsk, 630073, Russian Federationen
local.contributor.employeeGlazyrin G.V., Power Plants Department, Novosibirsk State Technical University, Novosibirsk, 630073, Russian Federationen
local.contributor.employeeKhalyasmaa A.I., Ural Power Engineering Institute, Ural Federal University Named after the First President of Russia B.N. Yeltsin, Ekaterinburg, 620002, Russian Federationen
local.contributor.employeeShayk S.M., Power Plants Department, Novosibirsk State Technical University, Novosibirsk, 630073, Russian Federationen
local.contributor.employeeKuparev M.A., Power Plants Department, Novosibirsk State Technical University, Novosibirsk, 630073, Russian Federationen
local.issue24-
local.volume10-
dc.identifier.wos000902943200001-
local.contributor.departmentPower Plants Department, Novosibirsk State Technical University, Novosibirsk, 630073, Russian Federationen
local.contributor.departmentUral Power Engineering Institute, Ural Federal University Named after the First President of Russia B.N. Yeltsin, Ekaterinburg, 620002, Russian Federationen
local.identifier.pure33249564-
local.identifier.pureab3032a6-a18c-4cb9-a5f7-24f07f532cc3uuid
local.description.order4809-
local.identifier.eid2-s2.0-85146274562-
local.identifier.wosWOS:000902943200001-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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