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dc.contributor.editorSuarez E.G.
dc.contributor.editorDiaz B.Z.
dc.contributor.editorNino E.D.V.
dc.creatorGiraldo J.A.
dc.creatorMontoya O.D.
dc.creatorGrisales-Noreña L.F.
dc.creatorGil-González W.
dc.creatorHolguín M.
dc.date.accessioned2020-03-26T16:41:23Z
dc.date.available2020-03-26T16:41:23Z
dc.date.issued2019
dc.identifier.citationGiraldo J.A., Montoya O.D., Grisales-Noreña L.F., Gil-González W. y Holguín M. (2019) Optimal power flow solution in direct current grids using Sine-Cosine algorithm. Journal of Physics: Conference Series; Vol. 1403, Núm. 1
dc.identifier.issn17426588
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9231
dc.description.abstractIn the next years, Colombian power system will have the connection of distributed generators and constant power loads; Therefore, it is necessary to propose the analysis methods that allow establishing the minimum requirements that have to be satisfied for the power system to guarantee an optimal power flow in order to preserve safe and reliable operation of it. For this purpose, in this paper presents an optimal power flow in direct current resistive grids with constant power loads and distributed generators. The optimal power flow problem is formulated as a master-slave optimization algorithm. The master stage covers the dispatching of all the distributed generators by using the Sine-Cosine algorithm. In the slave stage an efficient power flow method based on successive approximations is employed to determine the voltage variables and evaluate the objective function of the problem, which corresponds to the power loss minimization. A direct current distribution network composed by 21 nodes is used as test case by comparing its numerical performance with nonlinear optimization packages and two metaheuristic approaches named black-hole optimization and continuous genetic algorithm. All the simulations are conducted via MATLAB software. © Published under licence by IOP Publishing Ltd.eng
dc.description.sponsorshipUniversidad Tecnológica de Pereira, UTP: C2018P020 Department of Science, Information Technology and Innovation, Queensland Government, DSITI: 727-2015, Colciencias
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Physics Publishing
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076688523&doi=10.1088%2f1742-6596%2f1403%2f1%2f012009&partnerID=40&md5=ed7b9caa6292c8ee9f4f9aa31f3ef4eb
dc.sourceScopus2-s2.0-85076688523
dc.titleOptimal power flow solution in direct current grids using Sine-Cosine algorithm
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dcterms.bibliographicCitationMontoya, O.D., Garrido, V.M., Gil-González, W., Grisales-Noreña, L.F., Power flow analysis in DC grids: Two alternative numerical methods (2019) IEEE Trans. Circuits Syst. II, 66 (11), p. 1865
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dcterms.bibliographicCitationMontoya, O.D., Gil-González, W., Grisales-Noreña, L.F., Optimal power dispatch of DGs in DC power grids: A hybrid Gauss-Seidel-genetic-algorithm methodology for solving the OPF problem (2018) WSEAS Transactions on Power Systems, 13, p. 335
dcterms.bibliographicCitationVelasquez, O.S., Montoya, O.D., Garrido Arevalo, V.M., Grisales-Noreña, L.F., Optimal power flow in direct-current power grids via black hole optimization (2019) Advances in Electrical and Electronic Engineering, 17 (1), p. 24
dcterms.bibliographicCitationAbdel-Fattah, A., Ragab, A., El-Sehiemy, Hany, M., Hasanien, Optimal power flow solution in power systems using a novel Sine-Cosine algorithm (2018) Int. J. Electr. Power Energy Syst., 99, p. 331
dcterms.bibliographicCitationMontoya, O.D., Gil-González, W., Garces, A., Power flow approximation for DC networks with constant power loads via logarithmic transform of voltage magnitudes (2019) Electr. Power Syst. Res., 175
dcterms.bibliographicCitationMontoya, O.D., Garrido, V.M., Grisales-Noreña, L.F., Gil-González, W., Garces, A., Ramos-Paja, C.A., (2018) 9th Power, Instrumentation and Measurement Meeting (EPIM)
datacite.rightshttp://purl.org/coar/access_right/c_abf2
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event1st Workshop on Modeling and Simulation for Science and Engineering, WMSSE 2019
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1088/1742-6596/1403/1/012009
dc.subject.keywordsAcoustic generators
dc.subject.keywordsDistributed power generation
dc.subject.keywordsElectric power transmission networks
dc.subject.keywordsGenetic algorithms
dc.subject.keywordsMATLAB
dc.subject.keywordsNonlinear programming
dc.subject.keywordsContinuous genetic algorithms
dc.subject.keywordsDirect current distributions
dc.subject.keywordsMeta-heuristic approach
dc.subject.keywordsNon-linear optimization
dc.subject.keywordsOptimal power flow problem
dc.subject.keywordsOptimization algorithms
dc.subject.keywordsPower loss minimizations
dc.subject.keywordsSuccessive approximations
dc.subject.keywordsElectric load flow
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesThis work was supported in part by the Administrative Department of Science, Technology and Innovation of Colombia (Colciencias) through the national scholarship program under Grant 727-2015 and in part by the Universidad Tecnológica de Bolívar under Project C2018P020.
dc.relation.conferencedate20 August 2019 through 21 August 2019
dc.type.spaConferencia
dc.identifier.orcid57212454925
dc.identifier.orcid56919564100
dc.identifier.orcid55791991200
dc.identifier.orcid57191493648
dc.identifier.orcid57212444429


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.