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dc.creatorMontoya O.D.
dc.creatorGil-González, Walter
dc.creatorGarcés, Alejandro
dc.date.accessioned2020-03-26T16:33:03Z
dc.date.available2020-03-26T16:33:03Z
dc.date.issued2019
dc.identifier.citation2019 IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2019 - Proceedings
dc.identifier.isbn9781728116266
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9146
dc.description.abstractThis paper addresses the economic-environmental dispatch problem for thermal plants on a Multi-terminal HVDC power grid. A multi-objective optimization approach is used for modeling the compromise between fuel costs and the greenhouse gas emissions by the thermal plants. The grid topology is also considered by proposing a convex reformulation of the power balance equations through Taylor's series expansion method. To eliminate the error introduced by this linear approximation a sequential quadratic programming approach is applied by solving the multi-objective problem by a single-objective equivalent via weighting factor approach. A standard 6-node HVDC system is used to validate the proposed convex formulation. All simulations are performed in MATLAB with the quadprog optimization package. © 2019 IEEE.eng
dc.description.sponsorshipUniversidad Tecnológica de Pereira, UTP
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073427188&doi=10.1109%2fPEPQA.2019.8851570&partnerID=40&md5=76774da080dbc292ef3f2095cfe1786b
dc.titleA Sequential Quadratic Programming Model for the Economic-Environmental Dispatch in MT-HVDC
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datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event4th IEEE Workshop on Power Electronics and Power Quality Applications, PEPQA 2019
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1109/PEPQA.2019.8851570
dc.subject.keywordsDirect-current grids
dc.subject.keywordseconomic-environmental dispatch problem
dc.subject.keywordsmulti-objective optimization
dc.subject.keywordssequential quadratic programming
dc.subject.keywordsweighting factor method
dc.subject.keywordsElectric power system economics
dc.subject.keywordsElectric power transmission networks
dc.subject.keywordsGas emissions
dc.subject.keywordsGas plants
dc.subject.keywordsGreenhouse gases
dc.subject.keywordsHVDC power transmission
dc.subject.keywordsMATLAB
dc.subject.keywordsMultiobjective optimization
dc.subject.keywordsPower electronics
dc.subject.keywordsPower quality
dc.subject.keywordsQuadratic programming
dc.subject.keywordsDirect current
dc.subject.keywordsEconomic environmental dispatches
dc.subject.keywordsMulti-objective problem
dc.subject.keywordsOptimization packages
dc.subject.keywordsPower balance equations
dc.subject.keywordsSequential quadratic programming
dc.subject.keywordsTaylor's series expansion
dc.subject.keywordsWeighting factors
dc.subject.keywordsElectric load dispatching
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesThis work was partially supported by the program in electric power systems engineering at Universidad Tecnologica de Pereira.
dc.relation.conferencedate30 May 2019 through 31 May 2019
dc.type.spaConferencia
dc.identifier.orcid56919564100
dc.identifier.orcid57191493648
dc.identifier.orcid36449223500


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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.