Technical and Optimization Insights into PV Penetration in Power Distribution Systems-based Wild Horse Algorithm: Real Cases on Egyptian Networks
Results in Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104603 - 104603
Published: March 1, 2025
Language: Английский
Drilling Characteristics Optimization of Polymer Composite Fortified with Eggshells using Box-Behnken Design and Zebra Optimization Algorithm
B. Deepanraj,
No information about this author
A. Saravanan,
No information about this author
N. Senthilkumar
No information about this author
et al.
Results in Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104102 - 104102
Published: Jan. 1, 2025
Language: Английский
A New Smart Charging Electric Vehicle and Optimal DG Placement in Active Distribution Networks with Optimal Operation of Batteries
Results in Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104521 - 104521
Published: March 1, 2025
Language: Английский
Allocation and Control of Multi-devices Voltage Regulation in Distribution Systems via Rough Set Theory and Grasshopper Algorithm: A Practical Study
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
unknown, P. 103860 - 103860
Published: Dec. 1, 2024
Language: Английский
Integration of Multi-Unit Distributed Generation Resources Employing a Bio-Inspired Optimizer - Artificial Hummingbird Algorithm in Distribution System
Journal of Physics Conference Series,
Journal Year:
2025,
Volume and Issue:
2998(1), P. 012008 - 012008
Published: April 1, 2025
Abstract
Voltage
uncertainty
and
power
loss
are
the
most
prevalent
complexities
in
design
of
distribution
systems.
This
issue
may
be
resolved
by
effectively
utilizing
network
reconfiguration
that
integrates
Distributed
Generation
(DG).
To
function
efficiently
networks,
DG
requires
proper
installation
with
appropriate
location
capacity
order
to
achieve
maximum
benefits
reduce
risk
negative
integration
aspects.
An
effective
method
for
solving
optimization
issues
is
utilize
bio-inspired
based
metaheuristic
algorithms.
paper
evaluates
efficacy
Artificial
Hummingbird
Algorithm
(AHA),
a
novel
algorithm,
analyzing
losses
system
implemented
between
various
types
DG.
The
cost
energy
voltage
profile
taken
into
account.
study
thorough
analysis
involving
type
1
2.
proposed
methodology
was
evaluated
using
bus
test
69.
investigated
three
distinct
situations
DG,
scenario
represents
baseline
condition,
where
there
no
Scenario
2
involves
injects
active
power,
whereas
3
reactive
solely.
suggested
approach
tested
under
population
determine
ideal
size
assess
AHA
prediction
accuracy.
Language: Английский
A Multi-Objective Master—Slave Methodology for Optimally Integrating and Operating Photovoltaic Generators in Urban and Rural Electrical Networks
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
24, P. 103059 - 103059
Published: Oct. 10, 2024
Language: Английский
Optimal Allocation of Renewable Energy Resources in Distribution Systems using Meta-Heuristic Algorithms
Samira Reda Nassar,
No information about this author
A.A.M. Saleh,
No information about this author
Ayman A. Eisa
No information about this author
et al.
Results in Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104276 - 104276
Published: Feb. 1, 2025
Language: Английский
On the Exact Formulation of the Optimal Phase-Balancing Problem in Three-Phase Unbalanced Networks: Two Alternative Mixed-Integer Nonlinear Programming Models
Electricity,
Journal Year:
2025,
Volume and Issue:
6(1), P. 9 - 9
Published: March 2, 2025
This
article
presents
two
novel
mixed-integer
nonlinear
programming
(MINLP)
formulations
in
the
complex
variable
domain
to
address
optimal
phase-balancing
problem
asymmetric
three-phase
distribution
networks.
The
first
employs
a
matrix-based
load
connection
model
(M-MINLP),
while
second
uses
compact
vector-based
representation
(V-MINLP).
Both
integrate
power
flow
equations
through
current
injection
method,
capturing
nonlinearities
of
Delta
and
Wye
loads.
These
formulations,
solved
via
an
interior-point
optimizer
branch-and-cut
method
Julia
software,
ensure
global
optima
computational
efficiency.
Numerical
validations
on
8-,
25-,
37-node
feeders
showed
loss
reductions
24.34%,
4.16%,
19.26%,
outperforming
metaheuristic
techniques
convex
approximations.
M-MINLP
was
15.6
times
faster
25-node
grid
2.5
system
when
compared
V-MINLP
approach.
results
demonstrate
robustness
scalability
proposed
methods,
particularly
medium
large
systems,
where
often
fail
converge.
advance
state
art
by
combining
exact
mathematical
modeling
with
efficient
computation,
offering
precise,
scalable,
practical
tools
for
optimizing
corresponding
were
performed
using
(v1.10.2),
JuMP
(v1.21.1),
AmplNLWriter
(v1.2.1).
Language: Английский
Optimizing Grid-Dependent and Islanded Network Operations through Synergic Active-Reactive Power Integration
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
24, P. 103231 - 103231
Published: Nov. 8, 2024
Language: Английский
Analysis of the Impact of Photovoltaic Generation on the Level of Energy Losses in a Low-Voltage Network
Energies,
Journal Year:
2024,
Volume and Issue:
17(23), P. 5957 - 5957
Published: Nov. 27, 2024
Due
to
the
dynamic
development
of
energy
generation
in
photovoltaic
installations,
a
reliable
assessment
their
impact
on
level
losses
distribution
networks
is
needed.
For
companies
managing
network
resources,
this
issue
has
very
tangible
practical
aspect.
Therefore,
ongoing
analyses
electricity
based
actual
measurement
data
prosumers
are
In
paper,
influence
introduced
by
prosumer
installations
low-voltage
radial
line
investigated.
The
examined
from
three
perspectives:
1.
Focused
supplied
into
grid
installations;
2.
installations’
locations;
and
3.
product
distance
power
source.
Comparative
assessments
made
aspects
for
87
possible
locations
tested
network.
An
analysis
carried
out
both
entire
analysed
separately
transformer.
changes
influenced
location
installations.
Based
research
findings,
functions
defining
relative
determined.
Language: Английский