A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders

This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in the distribution lines by reformulating the classical power balance equations through a branch-to-node incidence matrix. The general algebraic modelling system (GAMS) is chosen as a solution tool, showing in tutorial form the implementation of the proposed MINLP model in a 6-nodes test feeder with 10 candidate lines. The validation of the MINLP formulation is performed in two classical 10-nodes DC test feeders. These are typically used for power flow and optimal power flow analyses. Numerical results demonstrate that power losses are reduced by about 16% when the optimal reconfiguration plan is found. The numerical validations are made in the GAMS software licensed by Universidad Tecnológica de Bolívar.

• Autores: Montoya, O.D.; Gil-González, Walter; Hernández, Jesus C.; Giral-Ramírez, Diego Armando; Medina-Quesada, A.
• Fecha de publicación: 2020
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/9559
• Acceso en línea: https://hdl.handle.net/20.500.12585/9559; https://www.mdpi.com/1996-1073/13/17/4440
• Palabra clave: Branch-to-node incidence matrix; Direct current networks; Mixed-integer nonlinear programming model; General algebraic modelling system; Optimal reconfiguration of distribution grids
• Rights: openAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/