A study on optimization techniques for the sizing of DG in distribution system

Abstract

Recent changes in the electric utility infrastructure created the opportunities for many technological innovations including the application of DG in order to achieve a variety of benefits. To achieve the benefits, factors such as the capacity of the units and the best location have to be considered. This problem was addressed in this study by the development of the techniques to optimize the output of the DG in order to obtain maximum benefits from its installation. The proposed technique was capable to effectively improve the system performance in terms of system losses. This paper presents the comparative study on the performance of the optimization techniques for determining the optimal sizing of DG using Evolutionary Programming and Artificial Immune System. The proposed technique was tested on IEEE Reliability Test systems namely the IEEE 69-bus and the program was developed using the MATLAB programming software.