PSO Algorithm for Optimal Placement of Multiple Spy Based Distributed Generators in Microgrids

Renewable distributed generation (RDG) has an overall positive impact on a microgrid. These RDGs are usually located near to the load centers which lead to some benefits such as; system power loss; voltage profile and stability improvement; environmental friendliness, rescheduling system upgrading, and reliability enhancement. In this paper, the particle swarm optimization (PSO) has been proposed to find the optimal location of solar photovoltaic (SPV) based in a microgrid. PSO has been applied to improve the power losses of radial networks considering different constraints related to the distribution network. A novel average overall voltage stability index has been proposed, in this paper which can quantify voltage stability levels of buses in a microgrid. Beta probability distribution function has been used to calculate the solar radiation. The proposed technique has been tested on 33-bus and 69-bus microgrid system. The improvements in voltage profile and average overall voltage stability index of the RDGs have been observed. To confirm the suggested PSO technique the results have been compared with the other popular algorithms.