Optimal Sizing and Placement of Multiple Distributed Generators using Teaching Learning Based Optimization Algorithm in Radial Distributed Network

Abstract

Distributed Generation (DG) plays significant role in improvement of radial distribution network (RDN). Optimal sizing and placement of DGs in RDN can improve the voltage profile and minimize real and reactive power losses. In this paper, the impact of placement of multiple DGs has been addressed to assess the performance of RDN. Teaching Learning Based Optimization Algorithm (TLBO) has been applied to determine both sizing and location of multiple DGs with an objective to minimize real power losses. It is shown that optimal sizing and placement of multiple DGs are better as compared to that of single DG placement. The simulations are carried out on standard 33 nodes RDN for comparative analysis.