Restructuration of distribution power system using Genetics Algorithms

This paper uses Genetic Algorithms (GAs) to solve the optimal reconfiguration in radial distribution systems for 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 isinspired from natural behavior of species. In this paper GA is applied to a realistic distribution system (106 buses) located in the medea city (Algeria). For the comparison purposes, 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.