Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL

Several conventional and artificial algorithms have been used to find the location of distributed generation DG in power systems. Particle swarm optimization PSO is one of the most used, but some convergence problems have been reported in the literature. In this paper, the use of the metaheuristic Bat-inspired algorithm BAT is proposed to place DG for different number of generators and capacities. The aim of this work was to solve an optimization problem defined as minimization of power losses installing generators at load busses. A binary combination is included to represent the states and locations of generators. The search for the minimum value is achieved using the movement of bats at each iteration, considering the change of buses. IEEE 14-bus and IEEE 30-bus power systems were used to test the metaheuristic techniques using six cases of power increasing considering from 1 to 5 generators. Results showed that bat algorithm is a good method to locate DG and maintain convergence to improve power losses with the search of good solutions of DG placement and size. Voltage level and power losses were improved for all cases maintaining consistent results for all cases studied.