Paper Info
Title
An Improved Crow Search Algorithm Applied To The Phase Swapping Problem In Asymmetric Distribution Systems
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.
Year
DOI
Venue
2021
10.3390/sym13081329
SYMMETRY-BASEL
Keywords
DocType
Volume
improved crow search algorithm, normal Gaussian distribution, phase swapping problem, power losses, asymmetric distribution grids, vortex search algorithm
Journal
13
Issue
Citations 
PageRank 
8
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Brandon Cortés-Caicedo100.34
Laura Sofía Avellaneda-Gómez200.34
Oscar Danilo Montoya301.35
Lázaro Alvarado-Barrios400.68
César Álvarez-Arroyo500.34