A BAT Optimization Algorithm for Sizing and Siting of Optimal Distributed Generation in Distribution Networks

The aim of this paper is to provide the best locations and sizes of DGs to aim voltage and power loss improvement with consider costs. The objective function in this paper is a multi-objective function with weights. The main functions are minimization of the power loss, improvement of voltage profile and minimization of DG cost are transformed into a single objective function with utilization the weight of functions. A BAT algorithm is proposed for simultaneous optimization these functions. Hence, in the first stage in this paper introduces the multi-objective function. Next stage is introduced the optimization algorithm used and in the last stage simulation results are presented. The proposed method has been tested on a 13-bus system. The results indicate that any change in the function’s weight in the objective function leads to a significant change in the forecasting of the location and size of DG.