OPTIMAL SITING AND SIZING OF DISTRIBUTED GENERATION RESOURCES IN RADIAL DISTRIBUTION SYSTEMS

Abstract

This thesis proposes an approach for the optimal sizing and placement of various types of Distributed Generation (DG) resources with the objective of minimizing the active power losses and improving the voltage profile improvement. Load flow studies have been carried out using BIBC and BCBV matrices. Teaching Learning Based Optimization (TLBO) and Artificial Bee Colony (ABC) algorithms have been implemented for optimal allocation of Type-1,Type-2 and Type-3 DG. To check the effectiveness, these two algorithms have been tested on the IEEE-33 bus, 69 bus and 119 bus radial distribution systems and compared with different existing techniques like Bacterial Foraging Optimization (BFO) and particle swarm optimization (PSO) algorithms. 24-hour load variation has been considered for some cases. The simulation results show that maximum reduction of losses take place when Type-3 DGs are used.