Optimal Placement of Distributed Generation in Distribution Network Using particle Swarm Optimization

In this present work for reducing the total loss of power, the deployment of distributed generation (DG) within the system of primary distribution is done through utilizing particle swarm optimization (PSO) algorithm. The search protocol followed in PSO is related to population. The particles that are existing separately will alter their position with respective to time. On considering the experience of neighboring particle or its own the alteration in position of particle will be carried out for the period of flight. The best position of the particle will be considered. The first step followed in this algorithm is generation of population in a random manner. Here the particle that denotes the location and size of DG will be generated. Based on distance found between global solution and current best local as well as velocity the movement of the particle from its current position will be made. The cooperation among particle, memory and inertia of particle will be present in the velocity. The size as well as location for multi- DG can be found through this proposed algorithm. The DG considered in the present work is of three kinds. Then for calculating the loss exactly, distribution load flow is utilized. From the experimental result it was found that on comparison with other heuristic search technique the proposed algorithm shows best result on using 69-bus and 33-bus radial distribution system. For the three kinds of multi-DGs system the maximal reduction in loss can be achieved using the proposed algorithm. Following that branch current reduction and voltage profile improvement was also found.