TITLE:
Optimal Placement of Distribution Generation Sources in Hybrid Generation Network
AUTHORS:
Danish Ali, Ward Ul Hijaz Paul, Md Safdar Ali, Mubassir Ahmad, Haroon Ashfaq
KEYWORDS:
Distribution Generators, Renewable Integration, Optimal Allocation, Particle Swarm Optimization
JOURNAL NAME:
Smart Grid and Renewable Energy,
Vol.12 No.5,
May
31,
2021
ABSTRACT: 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, different types of distribution generation (DG) supply
both reactive and real power. For the optimal placement of DG sources, particle swarm optimization
techniques 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 Type-III
DGs that are considered for optimal position in the existing
research. 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.