Integration of Distributed Energy Resource in Distribution System Using Dragon Fly Algorithm

Abstract

To fulfil the load requirement and enhance the system performance, it is imperative to use renewable distributed generators optimally in the DS. In the present scenario minimization of power loss is a prominent research issue. Different researchers solved power loss reduction and voltage profile improvement problem in DS. Exact location and size determination of DERs are two crucial factors for identifying the exact location and capacities in two crucial factors affecting the DS performance. This research aims to reduce the power loss in the DS and facilitates an improvement in voltage profile of the system.  First, the vulnerable nodes for placement of RDGs are identified by LSF method. Next, the sizes of DERs at determined places are found using optimisation techniques. Various constraints of the DS are included to solve the problem. Various cases are considered to analyse the performance. Further, most of the literature authors considered allocation of these sources independently. In this paper an integrated approach is proposed to solve DG and SC allocation problem mutually. Finally, the potency of the developed method is tested on 83 IEEE buses and also real test system (83 bus Taiwan systems) is considered. The obtained shows its dominance of the developed methodology in terms of better loss reduction and voltage profile improvement.