An Improved Bio-Inspired Material Generation Algorithm for Engineering Optimization Problems Including PV Source Penetration in Distribution Systems
Applied Sciences,
Год журнала:
2025,
Номер
15(2), С. 603 - 603
Опубликована: Янв. 9, 2025
The
Material
Generation
Optimization
(MGO)
algorithm
is
an
innovative
approach
inspired
by
material
chemistry
which
emulates
the
processes
of
chemical
compound
formation
and
stabilization
to
thoroughly
explore
refine
parameter
space.
By
simulating
bonding
processes—such
as
ionic
covalent
bonds—MGO
generates
new
solution
candidates
evaluates
their
stability,
guiding
toward
convergence
on
optimal
values.
To
improve
its
search
efficiency,
this
paper
introduces
Enhanced
(IMGO)
algorithm,
integrates
a
Quadratic
Interpolated
Learner
Process
(QILP).
Unlike
conventional
random
selection,
QILP
strategically
selects
three
distinct
compounds,
resulting
in
increased
diversity,
more
thorough
exploration
space,
improved
resistance
local
optima.
adaptable
non-linear
adjustments
QILP’s
quadratic
function
allow
traverse
complex
landscapes
effectively.
This
IMGO,
along
with
original
MGO,
developed
support
applications
across
phases,
showcasing
versatility
enhanced
optimization
capabilities.
Initially,
both
MGO
algorithms
are
evaluated
using
several
mathematical
benchmarks
from
CEC
2017
test
suite
measure
Following
this,
applied
following
well-known
engineering
problems:
welded
beam
design,
rolling
element
bearing
pressure
vessel
design.
simulation
results
then
compared
various
established
bio-inspired
algorithms,
including
Artificial
Ecosystem
(AEO),
Fitness–Distance-Balance
AEO
(FAEO),
Chef-Based
Algorithm
(CBOA),
Beluga
Whale
(BWOA),
Arithmetic-Trigonometric
(ATOA),
Atomic
Orbital
Searching
(AOSA).
Moreover,
IMGO
tested
real
Egyptian
power
distribution
system
optimize
placement
PV
capacitor
units
aim
minimizing
energy
losses.
Lastly,
parameters
estimation
problem
successfully
solved
via
considering
commercial
RTC
France
cell.
Comparative
studies
demonstrate
that
not
only
achieves
significant
loss
reduction
but
also
contributes
environmental
sustainability
reducing
emissions,
overall
effectiveness
practical
applications.
outcomes
23
benchmark
models
average
accuracy
enhancement
65.22%
consistency
69.57%
method.
Also,
application
achieved
computational
errors
27.8%
while
maintaining
superior
stability
alternative
methods.
Язык: Английский
Newton Raphson Based Optimizer for Optimal Integration of FAS and RIS in Wireless Systems
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 103822 - 103822
Опубликована: Янв. 1, 2025
Язык: Английский
A Novel Lyrebird Optimization Algorithm for Enhanced Generation Rate-Constrained Load Frequency Control in Multi-Area Power Systems with Proportional Integral Derivative Controllers
Processes,
Год журнала:
2025,
Номер
13(4), С. 949 - 949
Опубликована: Март 23, 2025
This
study
develops
a
novel
Lyrebird
Optimization
Algorithm
(LOA),
technique
inspired
by
the
wild
behavioral
strategies
of
lyrebirds
in
response
to
potential
threats.
In
two-area
interconnected
power
system
that
includes
non-reheat
thermal
stations,
this
algorithm
is
applied
handle
load
frequency
control
(LFC)
optimizing
parameters
Proportional–Integral–Derivative
controller
with
filter
(PIDn).
incorporates
generation
rate
constraints
(GRCs).
The
efficiency
provided
LOA-PIDn
evaluated
through
simulations
under
various
disturbance
scenarios
and
compared
against
other
well-established
optimization
techniques,
including
Ziegler–Nichols
(ZN),
genetic
(GA),
Bacteria
Foraging
(BFOA),
Firefly
Approach
(FA),
hybridized
FA
pattern
search
(hFA–PS),
self-adaptive
multi-population
elitist
Jaya
(SAMPE-Jaya)-based
PI/PID
controllers,
Teaching–Learning-Based
Optimizer
(TLBO)
IDD/PIDD
controllers.
results
demonstrate
LOA’s
ability
minimize
integral
time
multiplied
absolute
error
(ITAE)
achieve
significantly
lower
settling
times
for
frequencies
transferred
variances
comparison
methods.
comprehensive
inclusion
real-world
validate
LOA
as
robust
effective
tool
addressing
complex
challenges
modern
systems.
Язык: Английский
Hybrid Brown-Bear and Hippopotamus Algorithms with Fractional Order Chaos Maps for Precise Solar PV Model Parameter Estimation
Processes,
Год журнала:
2024,
Номер
12(12), С. 2718 - 2718
Опубликована: Дек. 2, 2024
The
rise
in
photovoltaic
(PV)
energy
utilization
has
led
to
increased
research
on
its
functioning,
as
accurate
modeling
is
crucial
for
system
simulations.
However,
capturing
nonlinear
current–voltage
traits
challenging
due
limited
data
from
cells’
datasheets.
This
paper
presents
a
novel
enhanced
version
of
the
Brown-Bear
Optimization
Algorithm
(EBOA)
determining
ideal
parameters
circuit
model.
presented
EBOA
incorporates
several
modifications
aimed
at
improving
searching
capabilities.
It
combines
Fractional-order
Chaos
maps
(FC
maps),
which
support
BOA
settings
be
adjusted
an
adaptive
manner.
Additionally,
it
integrates
key
mechanisms
Hippopotamus
(HO)
strengthen
algorithm’s
exploitation
potential
by
leveraging
surrounding
knowledge
more
effective
position
updates
while
also
balance
between
global
and
local
search
processes.
was
subjected
extensive
mathematical
validation
through
application
benchmark
functions
rigorously
assess
performance.
Also,
PV
parameter
estimation
achieved
combining
with
Newton–Raphson
approach.
Numerous
module
cell
varieties,
including
RTC
France,
STP6-120/36,
Photowatt-PWP201,
were
assessed
using
double-diode
single-diode
models.
higher
performance
shown
statistical
comparison
many
well-known
metaheuristic
techniques.
To
illustrate
this,
root
mean-squared
error
values
our
scheme
(SDM,
DDM)
PWP201
are
follows:
(8.183847
×
10−4,
7.478488
10−4),
(1.430320
10−2,
1.427010
10−2),
(2.220075
10−3,
2.061273
10−3),
respectively.
experimental
results
show
that
works
better
than
alternative
techniques
terms
accuracy,
consistency,
convergence.
Язык: Английский
Ultra-High-Efficiency Solar Capture Device Based on InAs Top Microstructure
Coatings,
Год журнала:
2024,
Номер
14(10), С. 1297 - 1297
Опубликована: Окт. 11, 2024
Research
on
how
to
efficiently
utilize
solar
energy
can
effectively
address
the
current
situation
where
excessive
carbon
emissions
threaten
natural
environment.
The
capture
device,
as
core
component
of
thermal
photovoltaic
system,
significantly
enhance
absorption
properties
which
is
high
research
value
in
application
area.
In
this
paper,
a
metamaterial
broadband
device
based
top
microstructure
semiconductor
InAs
material
proposed.
model
fabricated
from
bottom
with
at
Ti
make
hollow
cylindrical
microstructures,
and
combination
SiO2
film,
Cu
film
substrate.
addition
incorporating
metamaterials,
also
inspired
by
quantum-limited
domain
effect
nano-semiconductors
using
incorporation
microstructures
further
improve
model’s
properties.
was
calculated
have
an
average
280–2500
nm
waveband
96.15%
weighted
280–4000
97.71%
AM1.5.
Results
calculating
reflectivity
280–20,000
bands
show
that
higher
than
80%
all
after
wavelength
7940
nm,
so
has
certain
spectral
selectivity.
addition,
radiation
efficiency
waveband,
when
it
used
emitter,
reach
94.40%
paper.
Meanwhile,
good
angular
insensitivity,
potential
for
practical
applications.
Язык: Английский