Título A Mixed-Integer Quadratic Formulation of the Phase-Balancing Problem in Residential Microgrids
Autores Garces, Alejandro , Gil-Gonzalez, Walter , Montoya, Oscar Danilo , Chamorro, Harold R. , ALVARADO BARRIOS, LÁZARO
Publicación externa No
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 2
Impacto JCR 2.838
Impacto SJR 0.507
Fecha de publicacion 01/03/2021
ISI 000627930600001
DOI 10.3390/app11051972
Abstract Phase balancing is a classical optimization problem in power distribution grids that involve phase swapping of the loads and generators to reduce power loss. The problem is a non-linear integer and, hence, it is usually solved using heuristic algorithms. This paper proposes a mathematical reformulation that transforms the phase-balancing problem in low-voltage distribution networks into a mixed-integer convex quadratic optimization model. To consider both conventional secondary feeders and microgrids, renewable energies and their subsequent stochastic nature are included in the model. The power flow equations are linearized, and the combinatorial part is represented using a Birkhoff polytope B3 that allows the selection of phase swapping in each node. The numerical experiments on the CIGRE low-voltage test system demonstrate the use of the proposed formulation.
Palabras clave phase-balancing; convex approximations; heuristic algorithm; unbalanced power distribution grids; microgrids; combinatorial optimization
Miembros de la Universidad Loyola

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