Comparison based distributed generation implementation algorithm for the performance enhancement of radial distribution system

Distributed Generation (DG) at optimal location and size boost up voltage at end side of feeder and reduce power loss. Different algorithms have been proposed for the optimal size and location of DG in distribution system. Majority of these are developed for the uniformly distributed load, assuming unity power factor and single DG scenario. In this paper a comparison based Distributed Generation Implementation (CBDGI) technique has been proposed having abilities to provide optimal DG rating and location to enhance the performance of distribution network. Proposed methodology is capable of functioning effectively under randomly distributed load with poor power factor for single and multi DG system. CBDGI algorithm written in MATLAB is based on analytical approach and in this paper is implemented to two lengthy rural and two industrial radial feeders in worst case scenario. Analysis carried out show that the algorithm enhanced nodes voltage profile and reduced power loss. Proposed algorithm provides location on feeder having lowest voltage profile and higher power loss. The algorithm suggests the most suitable and economical DG source for feeder performance enhancement based on DG rating and feeder load conditions. CBDGI is applicable to compare different feeder´s performance and their DG requirements in priority based.