Optimal distribution power system reconfiguration using Genetics Algorithms and Branch exchange

This paper uses Genetic Algorithms (GAs) and the branch exchange method to solve the optimal reconfiguration in radial distribution systems subject to power loss reduction that determine the optimal switches. The GA is a relatively powerful intelligence evolution method for solving optimization problems. It is a population-based approach that is inspired from natural behavior of species. In this paper, GAs are applied to a realistic distribution system (106 buses) located in the Medea city (Algeria). For the comparison purpose, our method is validated with the classical Branch and Bound (B&B) method, widely used by the Distribution Companies. The results confirm the superiority of the GA.