Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: Oct. 17, 2024
This
article
presents
an
innovative
APISMC
method
applied
to
PVS,
integrating
the
MPPT
technique
for
a
boost
converter.
The
primary
objective
of
this
approach
is
maximize
converter’s
output
power
while
ensuring
optimal
operation
in
face
varying
environmental
conditions
such
as
solar
irradiance
and
temperature,
dynamically
adapting
variations
system
parameters,
demonstrated
by
obtained
results.
To
achieve
this,
RVO
employed
generate
reference
voltage
power.
A
PI
controller
calculates
current
based
on
control
modeling
utilizes
all
its
variables
synthesize
sliding
surface
duty
cycle
converter
control.
Simulations
conducted
demonstrate
superior
performance
terms
stability,
speed,
compared
traditional
algorithms.
main
contributions
include
improvement
robustness
against
variations,
thanks
integration
adaptive
algorithm
within
SMC.
Moreover,
proposed
theoretical
practical
framework
enables
rapid
attainment
adjusting
real-time,
optimizing
maximum
extraction
stable
regulation
even
under
non-ideal
conditions.
Luminescence,
Journal Year:
2024,
Volume and Issue:
39(6)
Published: June 1, 2024
Abstract
Erbium‐incorporated
silicophosphate
glasses
are
very
desirable
in
principal
sectors
such
as
photonics,
optoelectronics,
lasers,
and
illuminating
diodes.
The
focus
of
the
current
investigation
has
been
on
determining
how
erbium
dopant
affects
optical,
physical,
structural
characteristics
silicophosphate‐based
glasses.
pure
doped
with
various
contents
were
prepared
by
sol–gel
process
this
work.
noncrystalline
character
synthesized
was
confirmed
XRD
patterns
that
obtained.
optical
measurement
showed
addition
trivalent
ions
resulted
an
increase
refractive
index
samples
a
decrease
their
energy
band
gap
values.
It
demonstrated
presence
P–O–P
linkage
stretching
vibration
modes
both
symmetrical
asymmetrical,
P–O
PO
4
bending
modes,
OH
group
elongating
flexure
vibrations,
P–O–H
water
absorption
theoretical
values
basicity
(Ʌ
th
)
increased
from
0.465
to
0.472,
while
interaction
parameter
(
A
decreased
0.218
0.214
.
Silicophosphate
show
promise
optoelectronic
filter
system
materials.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 17, 2024
Abstract
This
study
looks
into
how
to
make
proton
exchange
membrane
(PEM)
fuel
cells
work
more
efficiently
in
environments
that
change
over
time
using
new
Maximum
Power
Point
Tracking
(MPPT)
methods.
We
evaluate
the
efficacy
of
Flying
Squirrel
Search
Optimization
(FSSO)
and
Cuckoo
(CS)
algorithms
adapting
varying
conditions,
including
fluctuations
pressure
temperature.
Through
meticulous
simulations
analyses,
explores
collaborative
integration
these
techniques
with
boost
converters
enhance
reliability
productivity.
It
was
found
FSSO
consistently
works
better
than
CS,
achieving
an
average
increase
12.5%
power
extraction
from
PEM
a
variety
operational
situations.
Additionally,
exhibits
superior
adaptability
convergence
speed,
maximum
point
(MPP)
25%
faster
CS.
These
findings
underscore
substantial
potential
as
robust
efficient
MPPT
method
for
optimizing
cell
systems.
The
contributes
quantitative
insights
advancing
green
energy
solutions
suggests
avenues
future
exploration
hybrid
optimization
e-Prime - Advances in Electrical Engineering Electronics and Energy,
Journal Year:
2024,
Volume and Issue:
9, P. 100688 - 100688
Published: July 17, 2024
Ensuring
optimal
extraction
of
power
from
photovoltaic
(PV)
systems
under
diverse
climatic
circumstances
is
a
significant
challenge,
which
requires
an
efficient
Maximum
Power
Point
(MPP)
Tracking
(MPPT)
algorithm
and
adequate
conversion
stage.
Therefore,
this
paper
proposes
advanced
MPPT
strategy
implemented
by
Three-Level
Boost
converter
(TLB),
serves
as
the
interface
between
PV
generator
DC
load,
offering
advantages
such
reduced
output
voltage
distortion,
minimized
inductor
current
ripple,
decreased
switching
losses.
To
achieve
more
accurate
tracking,
robust
balance
control
across
TLB
capacitors
also
suggested.
The
proposed
system
meticulously
evaluated
using
MATLAB/Simulink,
demonstrating
its
capabilities
in
MPP
tracking
balancing
scenarios.
Furthermore,
comparative
analysis
various
test
including
static
dynamic
insolation
conditions
sudden
load
variations,
shows
that
suggested
offers
noteworthy
improvements
over
InC
algorithm.
Additionally,
thorough
comparison
with
existing
research
methods
proves
effectiveness
these
methods.
achieves
steady-state
error
0
W,
average
efficiency
99.13
%
99.44%,
fast-tracking
velocity.
Further,
comprehensive
real-time
evaluation
cutting-edge
RT-LAB
platform
confirms
consistency
results
simulation
outputs,
emphasizing
robustness
low
implementation
complexity
overall
strategy.
