Optimal Rating and Position of Distributed Generators under Variable Loading Conditions using Bacterial Foraging Algorithm

The inclusion of Distributed Generation (DG) in the electric utility infrastructure has created opportunities for many technological innovations to achieve a variety of both utility and customer’s benefits. The presence of DG in the power system network exhibits complex non-linear nature and can be solved by using optimization techniques. Bacterial Foraging Optimization Algorithm (BFOA) is best method to solve any nonlinear complex optimization problem. Hence in this paper, the non-linear Optimal Power Flow (OPF) problem including DG is framed as objective function and solved by using BFOA. The performance of the projected technique is verified for IEEE 14 and 30 bus test systems. The study outcomes shows, saving obtained due to reduced power loss contributes remarkable reduction in generation cost by using the optimal schedule of DG.