An Improved Crow Search Algorithm Applied to the Phase Swapping Problem in Asymmetric Distribution Systems

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