Oppositional cuckoo optimization algorithm to solve DG allocation problem of radial distribution system

Optimal sizing and placement of distributed generator (DG) units in radial distribution system are becoming very attractive to researchers these days. In this paper, cuckoo optimization algorithm (COA) is applied in order to find the optimal location of DG to optimize the power loss in radial distribution system. Furthermore, an oppositional based learning (OBL) is introduced with COA for improving the convergence speed of COA. The proposed oppositional COA (OCOA) methodology is successfully applied to the 33 bus and 69 bus radial distribution systems in order to show the effectiveness and efficiency of this optimization. The simulation result of proposed methods are compared with the other population based optimization like genetic algorithm (GA), particle swarm optimization (PSO), GA/PSO, bacteria foraging optimization algorithm (BFOA) in order to show the usefulness of this proposed approach.