A statistics-based simplification method to the Distribution Network Reconfiguration problem for large-scale networks

A. Graine, N. Karnib, J.-P. Gaubert and D. Larraillet

Mathematics and Computers in Simulation (MATCOM), 2026, vol. 245, issue C, 176-191

Abstract: The Distribution Network Reconfiguration (DNR) consists of modifying the topology of a Distribution Network (DN) through the modification of the state of its switches, thus modifying the paths of power. It can be used to minimize losses or other physical quantities, while satisfying, among others, radial, electrical, and thermal constraints. It is an optimization problem of a type referred to as Mixed-Integer Programming (MIP). When the DNR is applied to large-scale DNs, which is the case for this paper since the aim is to optimize real networks for a French Distribution System Operator (DSO): this problem can be challenging to solve because the number of switches (and thus the number of binary variables) becomes very large, which can lead to a combinatorial explosion.

Keywords: Distribution network reconfiguration problem; Smart grids; Mixed integer quadratic programming; Power system optimization; Distributed generation; Reduced computational complexity (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:245:y:2026:i:c:p:176-191

DOI: 10.1016/j.matcom.2026.01.008

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