Journal of Physics Conference Series,
Journal Year:
2024,
Volume and Issue:
2876(1), P. 012024 - 012024
Published: Nov. 1, 2024
Abstract
The
dual
diode
model
of
photovoltaic
cells
has
high
accuracy,
but
there
are
seven
parameters
to
be
sought.
To
improve
the
accuracy
cell
models
and
facilitate
determination,
a
method
for
determining
is
proposed
based
on
three
state
point
data
provided
by
manufacturers
under
standard
testing
conditions,
using
maximum
power
derivative
method.
By
Simulink
software,
was
simulated,
we
can
obtain
that
relative
error
voltage
0.8139%,
1.0537%,
with
significantly
higher
than
R
s
p
model.
Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: Aug. 1, 2024
Solar
energy
has
emerged
as
a
key
solution
in
the
global
transition
to
renewable
sources,
driven
by
environmental
concerns
and
climate
change.
This
is
largely
due
its
cleanliness,
availability,
cost-effectiveness.
The
precise
assessment
of
hidden
factors
within
photovoltaic
(PV)
models
critical
for
effectively
exploiting
potential
these
systems.
study
employs
novel
approach
parameter
estimation,
utilizing
electric
eel
foraging
optimizer
(EEFO),
recently
documented
literature,
address
such
engineering
issues.
EEFO
emerges
competitive
metaheuristic
methodology
that
plays
crucial
role
enabling
extraction.
In
order
maintain
scientific
integrity
fairness,
utilizes
RTC
France
solar
cell
benchmark
case.
We
incorporate
approach,
together
with
Newton-Raphson
method,
into
tuning
process
three
PV
models:
single-diode,
double-diode,
three-diode
models,
using
common
experimental
framework.
selected
because
significant
field.
It
serves
reliable
evaluation
platform
approach.
conduct
thorough
statistical,
convergence,
elapsed
time
studies,
demonstrating
consistently
achieves
low
RMSE
values.
indicates
capable
accurately
estimating
current-voltage
characteristics.
system’s
smooth
convergence
behavior
further
reinforces
efficacy.
Comparing
competing
methodologies
advantage
optimizing
model
parameters,
showcasing
greatly
enhance
usage
energy.
Journal of Computational Design and Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 16, 2025
Abstract
Blasting
vibration
is
a
major
adverse
effect
in
rock
blasting
excavation,
and
accurately
predicting
its
peak
particle
velocity
(PPV)
vital
for
ensuring
engineering
safety
risk
management.
This
study
proposes
an
innovative
IHO-VMD-CatBoost
model
that
integrates
variational
mode
decomposition
(VMD)
the
CatBoost
algorithm,
with
hyperparameters
globally
optimized
using
improved
hippocampus
optimization
algorithm
(IHO).
Compared
to
existing
models,
proposed
method
improves
feature
extraction
from
signals
significantly
enhances
prediction
accuracy,
especially
complex
geological
conditions.
Using
measured
data
open-pit
mine
blasting,
extracts
key
features
such
as
maximum
section
charge,
total
horizontal
distance,
achieving
superior
performance
compared
13
traditional
models.
It
reports
root
mean
square
error
of
0.28
cm/s,
absolute
0.17
index
agreement
0.993,
variance
accounted
value
97.28%,
demonstrating
high
degree
fit
observed
data,
overall
robustness
PPV
prediction.
Additionally,
analyses
based
on
SHapley
Additive
Explanations
framework
provide
insights
into
nonlinear
relationships
between
factors
like
distance
improving
model's
interpretability.
The
demonstrates
robustness,
stability,
applicability
various
tests,
confirming
reliability
scenarios,
offering
valuable
solution
safe
mining
design.
PeerJ Computer Science,
Journal Year:
2025,
Volume and Issue:
11, P. e2646 - e2646
Published: Jan. 27, 2025
This
study
conducts
a
comparative
analysis
of
the
performance
ten
novel
and
well-performing
metaheuristic
algorithms
for
parameter
estimation
solar
photovoltaic
models.
optimization
problem
involves
accurately
identifying
parameters
that
reflect
complex
nonlinear
behaviours
cells
affected
by
changing
environmental
conditions
material
inconsistencies.
is
challenging
due
to
computational
complexity
risk
errors,
which
can
hinder
reliable
predictions.
The
evaluated
include
Crayfish
Optimization
Algorithm,
Golf
Coati
Crested
Porcupine
Optimizer,
Growth
Artificial
Protozoa
Secretary
Bird
Mother
Election
Optimizer
Technical
Vocational
Education
Training-Based
Optimizer.
These
are
applied
solve
four
well-established
models:
single-diode
model,
double-diode
triple-diode
different
module
focuses
on
key
metrics
such
as
execution
time,
number
function
evaluations,
solution
optimality.
results
reveal
significant
differences
in
efficiency
accuracy
algorithms,
with
some
demonstrating
superior
specific
Friedman
test
was
utilized
rank
various
revealing
top
performer
across
all
considered
optimizer
achieved
root
mean
square
error
9.8602187789E-04
9.8248487610E-04
both
models
1.2307306856E-02
model.
consistent
success
indicates
strong
contender
future
enhancements
aimed
at
further
boosting
its
effectiveness.
Its
current
suggests
potential
improvement,
making
it
promising
focus
ongoing
development
efforts.
findings
contribute
understanding
applicability
renewable
energy
systems,
providing
valuable
insights
optimizing
Actuators,
Journal Year:
2025,
Volume and Issue:
14(5), P. 203 - 203
Published: April 23, 2025
Generating
chaos
from
originally
non-chaotic
systems
is
a
promising
issue.
Indeed,
has
been
successfully
applied
in
many
fields
to
improve
system
performance.
In
this
work,
Buck
converter
chaotified
using
combination
of
the
switching
piecewise-constant
characteristic
and
anticontrol
feedback.
For
electromagnetic
compatibility
compliance
reasons,
feedback
control
method
able,
at
same
time,
achieve
low
spectral
emissions
maintain
small
ripple
output
voltage
inductance
current.
This
new
implies
fast
non-linear
action
MOSFET
on
period
ramp
generator.
Thus,
it
essential
analyze
its
thermal
why
we
propose
an
original
analysis
influence
frequency
variation
junction
temperature:
investigate
correlation
between
lifetime
power
electronic
component
stress
due
addition
chaos.
It
appeared
that
reduction
current
did
not
degrade
performance,
despite
MOSFET.
Furthermore,
degradation
was
indicated
for
chaotic
behavior
versus
periodic
behavior.
leads
conclusion
produces
accumulated
fatigue
effect
semiconductor.
Ain Shams Engineering Journal,
Journal Year:
2024,
Volume and Issue:
15(11), P. 102988 - 102988
Published: Aug. 5, 2024
The
complexity
of
equivalent
circuit
models
photovoltaic
cells
and
modules
poses
a
difficult
task
to
the
parameter
extraction
methods.
Teaching-learning-based
optimization
(TLBO)
is
potent
metaheuristic-based
method,
but
it
suffers
from
insufficient
precision
low
dependability.
This
study
presented
multi-source
guided
TLBO
through
improving
its
two
phases.
A
approach
with
one-to-one
step-by-step
teaching
strategies
was
designed
guide
different
learners
in
teacher
phase.
Besides,
based
on
multiple
were
introduced
for
knowledge
reserves
strengthen
information
exchanging.
With
improvements,
advantageous
lessen
likelihood
hitting
local
optimum
thereby
global
convergence
can
be
accelerated.
resultant
method
verified
single
diode
model,
double
three
additional
modules.
findings
demonstrate
that
obtained
better
solutions
dependability,
stood
out
crowd
algorithms.
