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dc.contributor.author
Serra, Federico Martin  
dc.contributor.author
Montoya Giraldo, Oscar Danilo  
dc.contributor.author
Alvarado Barrios, Lázaro  
dc.contributor.author
Álvarez Arroyo, Cesar  
dc.contributor.author
Chamorro, Harold R.  
dc.date.available
2022-10-04T10:26:26Z  
dc.date.issued
2021-10  
dc.identifier.citation
Serra, Federico Martin; Montoya Giraldo, Oscar Danilo; Alvarado Barrios, Lázaro; Álvarez Arroyo, Cesar; Chamorro, Harold R.; On the optimal selection and integration of batteries in dc grids through a mixed-integer quadratic convex formulation; MDPI; Electronics; 10; 19; 10-2021; 1-15  
dc.identifier.issn
2079-9292  
dc.identifier.uri
http://hdl.handle.net/11336/171600  
dc.description.abstract
This paper deals with the problem of the optimal selection and location of batteries in DC distribution grids by proposing a new mixed-integer convex model. The exact mixed-integer nonlin-ear model is transformed into a mixed-integer quadratic convex model (MIQC) by approximating the product among voltages in the power balance equations as a hyperplane. The most important characteristic of our proposal is that the MIQC formulations ensure the global optimum reaching via branch & bound methods and quadratic programming since each combination of the binary variables generates a node with a convex optimization subproblem. The formulation of the objective function is associated with the minimization of the energy losses for a daily operation scenario considering high renewable energy penetration. Numerical simulations show the effectiveness of the proposed MIQC model to reach the global optimum of the optimization model when compared with the exact optimization model in a 21-node test feeder. All the validations are carried out in the GAMS optimization software.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
MDPI  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
BATTERY ENERGY STORAGE SYSTEMS  
dc.subject
EXACT MATHEMATICAL OPTIMIZATION  
dc.subject
GLOBAL OPTIMUM FINDING  
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MIXED-INTEGER QUADRATIC PROGRAMMING  
dc.subject
POWER FLOW APPROXIMATION  
dc.subject.classification
Ingeniería Eléctrica y Electrónica  
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
On the optimal selection and integration of batteries in dc grids through a mixed-integer quadratic convex formulation  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-03-08T21:06:19Z  
dc.journal.volume
10  
dc.journal.number
19  
dc.journal.pagination
1-15  
dc.journal.pais
Suiza  
dc.description.fil
Fil: Serra, Federico Martin. Universidad Nacional de San Luis. Facultad de Ingeniería y Ciencias Agropecuarias. Laboratorio de Control Automático; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Investigaciones en Tecnología Química. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Investigaciones en Tecnología Química; Argentina  
dc.description.fil
Fil: Montoya Giraldo, Oscar Danilo. Universidad Distrital Francisco José de Caldas; Colombia. Universidad Tecnológica de Bolívar; Colombia  
dc.description.fil
Fil: Alvarado Barrios, Lázaro. Universidad Loyola Andalucia; España  
dc.description.fil
Fil: Álvarez Arroyo, Cesar. Universidad de Sevilla; España  
dc.description.fil
Fil: Chamorro, Harold R.. Royal Institute of Technology; Suecia  
dc.journal.title
Electronics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/electronics10192339