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dc.contributor.authorGil-González, Walter
dc.contributor.authorGarcés, A.
dc.contributor.authorCasilimas-Peña, A.
dc.contributor.authorGarrido, V. M.
dc.contributor.authorMontoya, Oscar
dc.date.accessioned2021-02-08T14:58:48Z
dc.date.available2021-02-08T14:58:48Z
dc.date.issued2020-12-01
dc.date.submitted2021-02-03
dc.identifier.citationW. Gil-González, A. Garces, A. Casilimas-Peña, V. M. Garrido and O. Montoya, "A Convex OPF Approximation for DC Networks Considering Voltage-Dependent Load Models," 2020 IEEE ANDESCON, Quito, Ecuador, 2020, pp. 1-6, doi: 10.1109/ANDESCON50619.2020.9272042.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9941
dc.description.abstractThis paper addresses the problems of power flow and optimal power flow analysis considering voltage-dependent load models from the convex point of view. First, Taylor series expansion method is employed for linearizing the power flow equations generating a set of affine h yperplanes. S econd, the sequential quadratic programming (SQP) approach is employed for adjusting the linearization point to eliminate the voltage estimation error between the exact and proposed convex models recursively. Two voltage-dependent load models are considered in our power flow a nd o ptimal p ower fl ow pr oposals wh ich based on the exponential and polynomial models. General algebraic modeling system (GAMS) and its nonlinear optimization packages are employed for comparison purposes. Two DC-test systems with 6 and 21 nodes are used to validate the performance of the SQP proposed. The proposed SQP approach is implemented in MATLAB software with quadprog toolbox.spa
dc.format.extent6 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.source2020 IEEE ANDESCONspa
dc.titleA Convex OPF Approximation for DC Networks Considering Voltage-Dependent Load Modelsspa
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datacite.rightshttp://purl.org/coar/access_right/c_14cbspa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9272042
dc.type.driverinfo:eu-repo/semantics/lecturespa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.identifier.doi10.1109/ANDESCON50619.2020.9272042.
dc.subject.keywordsDirect–current networksspa
dc.subject.keywordsOptimal power flow analysisspa
dc.subject.keywordsSequential quadratic programmingspa
dc.subject.keywordsTaylor’s based series expansion methodspa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.type.spahttp://purl.org/coar/resource_type/c_8544spa
dc.audienceInvestigadoresspa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_c94fspa


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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.