The final stage in the supply of electricity is the distribution system. It transfers electricity from the power grid to customers. Primary distribution lines carry the medium voltage power that is located close to the customers to distribution transformers. This research aims to analyze the impact of Distributed Generation (DG) on power loss reduction and voltage profile enhancement for the Iraqi Radial Distribution Network (RDN). The suggested Particle Swarm Optimization (PSO) is implemented to specify the optimum size and location based on an analytic approach dependent on voltage, active losses as fitness. Then it is added to Iraq’s Radial Distribution System. This study is implemented on two networks, which are IEEE 30bus system and a local Iraqi national distribution network called Al-Jadawil F3 (11kV) feeder in Al-Madhatiyah city following to Babylon Province. The findings demonstrate the efficiency of the proposed approach in determining the optimum size and location, reducing power losses, reducing line flow, and improving the bus voltage profile. The findings were obtained in MATLAB/R2018a using a programming language with the algorithm’s suggested implementation.

1.
Dasan
,
S. B.
,
Ramalakshmi
,
S. S.
, &
Devi
,
R. K.
(
2009
, December).
Optimal siting and sizing of hybrid distributed generation using EP.
In 2009 International Conference on Power Systems
(pp.
1
6
).
IEEE
.
2.
El-Khattam
,
W.
, &
Salama
,
M. M.
(
2004
). “
Distributed generation technologies, definitions and benefits
”.
Electric power systems research
,
71
(
2
),
119
128
.
3.
Lalitha
,
M. P.
,
Reddy
,
V. V.
, &
Usha
,
V.
(
2010
).
Optimal Dg Placement For Minimum Real Power Loss In Radial Distribution Systems Using PSO
.
Journal of Theoretical & Applied Information Technology
,
13
.
4.
Alias
,
Q. M.
, &
Jaafar
,
W. A.
(
2010
).
Distributed generation embedded in the Iraqi power grid
. ((M.Sc. Thesis,
University of Technology
,
Iraq
)).
Engineering and Technology Journal
,
28
(
20
),
6035
6049
.
5.
Abou El-Ela
,
A. A.
,
Allam
,
S. M.
, &
Shatla
,
M. M.
(
2010
).
Maximal optimal benefits of distributed generation using genetic algorithms
.
Electric power systems research
,
80
(
7
),
869
877
.
6.
Tolba
,
M. A.
,
Tulsky
,
V. N.
, &
Diab
,
A. A. Z.
(
2017
, June).
Optimal sitting and sizing of renewable distributed generations in distribution networks using a hybrid PSOGSA optimization algorithm
.
In 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe
) (pp.
1
7
).
IEEE
.
7.
Reddy
,
P. D. P.
,
Reddy
,
V. V.
, &
Manohar
,
T. G.
(
2017
).
Whale optimization algorithm for optimal sizing of renewable resources for loss reduction in distribution systems.
Renewables
:
wind, water, and solar
,
4
(
1
),
3
.
8.
Yasin
,
Z.
,
Nadhirah Sam’ón
,
I.
,
Aminudin
,
N.
,
Salim
,
N.
, &
Mohamad
,
H.
(
2017
).
Impact of Distributed Generation on the Fault Current in Power Distribution System
.
Indonesian Journal of Electrical Engineering and Computer Science
,
6
(
2
),
357
367
.
9.
Ahmed
,
A. H.
, &
Hasan
,
S.
(
2018
).
Optimal allocation of distributed generation units for converting conventional radial distribution system to loop using particle swarm optimization
.
Energy Procedia
,
153
,
118
124
.
10.
Kashyap
,
M.
,
Mittal
,
A.
, &
Kansal
,
S.
(
2019
). Optimal placement of distributed generation using genetic algorithm approach. In
Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017)
(pp.
587
597
).
Springer
,
Singapore
.
11.
Zakaria
,
Y. Y.
,
Swief
,
R. A.
,
El-Amary
,
N. H.
, &
Ibrahim
,
A. M.
(
2020
, January). Optimal Distributed Generation Allocation and Sizing Using Genetic and Ant Colony Algorithms.
In Journal of Physics: Conference Series
(Vol.
1447
, No.
1
, p.
012023
).
IOP Publishing
.
12.
Haider
,
W.
,
Hassan
,
S.
,
Mehdi
,
A.
,
Hussain
,
A.
,
Adjayeng
,
G. O. M.
, &
Kim
,
C. H.
(
2021
).
Voltage profile enhancement and loss minimization using optimal placement and sizing of distributed generation in reconfigured network
.
Machines
,
9
(
1
),
20
.
13.
Rupa
,
J. M.
, &
Ganesh
,
S.
(
2014
).
Power flow analysis for radial distribution system using backward/forward sweep method
.
International Journal of Electrical, Computer, Electronics and Communication Engineering
,
8
(
10
),
1540
1544
.
14.
Al-Bahrani
,
L.
, &
Dumbrava
,
V.
(
2016
).
Optimal Power Flow Based on Particle Swarm Optimization.
University Politehnica of Bucharest Scientific Bulletin Series C-Electrical Engineering and Computer Science
,
78
(
3
),
253
264
.
15.
Venkatesh
,
B.
, &
Ranjan
,
R.
(
2003
).
Optimal radial distribution system reconfiguration using fuzzy adaptation of evolutionary programming
.
International journal of electrical power & energy systems
,
25
(
10
),
775
780
.
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