Título On the optimal selection and integration of batteries in dc grids through a mixed-integer quadratic convex formulation
Autores Serra F.M. , Montoya O.D. , ALVARADO BARRIOS, LÁZARO, Álvarez-Arroyo C. , Chamorro H.R.
Publicación externa No
Alcance Article
Naturaleza Científica
Cuartil JCR 3
Cuartil SJR 2
Impacto JCR 2.69
Impacto SJR 0.59
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115652785&doi=10.3390%2felectronics10192339&partnerID=40&md5=230c93edf969c3b4cf34c8425e11b13a
Fecha de publicacion 24/09/2021
ISI 000709840800001
Scopus Id 2-s2.0-85115652785
DOI 10.3390/electronics10192339
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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Palabras clave Battery energy storage systems; Exact mathematical optimization; Global optimum finding; Mixed-integer quadratic programming; Power flow approximation
Miembros de la Universidad Loyola

Change your preferences Gestionar cookies