%0 Journal Article
%T Optimal Placement of Distribution Generation Sources in Hybrid Generation Network
%A Danish Ali
%A Ward Ul Hijaz Paul
%A Md Safdar Ali
%A Mubassir Ahmad
%A Haroon Ashfaq
%J Smart Grid and Renewable Energy
%P 65-80
%@ 2151-4844
%D 2021
%I Scientific Research Publishing
%R 10.4236/sgre.2021.125005
%X <span style=\"font-family:Verdana;\">The ideal places and size of the distribution generators were determined by
reducing the loss of power in the distribution networks. The ideal positioning of
various kinds of DGs has been suggested in the current job. In this job, the ideal
power factor for DG supply has been acquired, both the active power as well as the
reactive power. In the proposed approach</span><span style=\"font-family:Verdana;\">,</span><span style=\"font-family:Verdana;\"> different types of distribution generation (DG) supply
both reactive and real power. For the optimal placement of DG sources</span><span style=\"font-family:Verdana;\">,</span><span style=\"font-family:Verdana;\"> particle swarm optimization
technique</span><span style=\"font-family:Verdana;\">s</span><span style=\"font-family:&quot;\"><span style=\"font-family:Verdana;\"> have been
used in this job. Each of these innovations has its own strengths and drawbacks.
Most of the methods that have been proposed so far to formulate DG¡¯s optimum placement
problem only consider Type-I DGs, Type-II and </span><span style=\"font-family:Verdana;\">Type-III
DGs </span></span><span style=\"font-family:Verdana;\">that </span><span style=\"font-family:Verdana;\">are considered for optimal position in the existing
research.</span><span style=\"font-family:Verdana;\"> In the reference, artificial bee colony algorithm was
used to determine sites of DGs and condenser combinations and optimal size. The
author used PSO method in the reference to determine the appropriate positioning
of the DG¡¯s and to maximize the savings of power loss and voltage profile in the
distribution network.</span>
%K Distribution Generators
%K Renewable Integration
%K Optimal Allocation
%K Particle Swarm Optimization
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=110647