Research Area:  Metaheuristic Computing

Abstract:

This paper discusses the power loss minimization problem in asymmetric distribution systems (ADS) based on phase swapping. This problem is presented using a mixed-integer nonlinear programming model, which is resolved by applying a master–slave methodology. The master stage consists of an improved version of the crow search algorithm. This stage is based on the generation of candidate solutions using a normal Gaussian probability distribution. The master stage is responsible for providing the connection settings for the system loads using integer coding. The slave stage uses a power flow for ADSs based on the three-phase version of the iterative sweep method, which is used to determine the network power losses for each load connection supplied by the master stage. Numerical results on the 8-, 25-, and 37-node test systems show the efficiency of the proposed approach when compared to the classical version of the crow search algorithm, the Chu and Beasley genetic algorithm, and the vortex search algorithm. All simulations were obtained using MATLAB and validated in the DigSILENT power system analysis software.

Keywords:  
improved crow search algorithm
normal Gaussian distribution
phase swapping problem
power losses
asymmetric distribution grids
vortex search algorithm

Author(s) Name:  Brandon Cortés-Caicedo, Laura Sofía Avellaneda-Gómez, Oscar Danilo Montoya , Lázaro Alvarado-Barrios, César Álvarez-Arroyo

Publisher name:  MDPI

DOI:  10.3390/sym13081329

Volume Information:  volume 13

Paper Link:   https://www.mdpi.com/2073-8994/13/8/1329