2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS),
Год журнала:
2024,
Номер
6, С. 1 - 7
Опубликована: Фев. 24, 2024
Solar
energy
holds
significant
potential
in
India,
with
a
growing
application
across
various
sectors.
In
photovoltaic
(PV)
systems,
capturing
solar
successfully
is
crucial.
PV
modules
exhibit
nonlinear
trends
response
to
irradiance
and
temperature
conditions,
making
it
crucial
operate
them
at
their
maximum
power
point
(MPP)
for
most
fulfilling
performance.
This
paper
provides
smart
ANN-P&O
MPPT
controller
boost
converters
structures,
aiming
enhance
efficiency
via
optimizing
the
issue.
It
compares
this
method
conventional
methods
(IC
P&O)
through
simulations
MATLAB/SIMULINK,
highlighting
controller's
effectiveness
diverse
conditions.
Applied Sciences,
Год журнала:
2023,
Номер
13(2), С. 945 - 945
Опубликована: Янв. 10, 2023
The
reptile
search
algorithm
is
a
newly
developed
optimization
technique
that
can
efficiently
solve
various
problems.
However,
while
solving
high-dimensional
nonconvex
problems,
the
retains
some
drawbacks,
such
as
slow
convergence
speed,
high
computational
complexity,
and
local
minima
trapping.
Therefore,
an
improved
(IRSA)
based
on
sine
cosine
Levy
flight
proposed
in
this
work.
modified
with
enhanced
global
capabilities
avoids
trapping
by
conducting
full-scale
of
solution
space,
operator
jump
size
control
factor
increases
exploitation
agents.
was
applied
to
set
23
well-known
test
functions.
Additionally,
statistical
analysis
performed
considering
30
runs
for
performance
measures
like
best,
worse,
average
values,
standard
deviation.
results
showed
gives
fast
low
time
efficient
search.
For
further
verification,
were
compared
RSA
state-of-the-art
metaheuristic
techniques.
In
second
phase
paper,
we
used
IRSA
train
hyperparameters
weight
biases
multi-layer
perceptron
neural
network
smoothing
parameter
(σ)
radial
basis
function
network.
To
validate
effectiveness
training,
trained
classifier
tested
challenging,
real-world
classification
Furthermore,
application,
IRSA-trained
RBFNN
regression
model
day-ahead
wind
solar
power
forecasting.
Experimental
clearly
demonstrated
superior
prediction
hybrid
model.
Qualitative,
quantitative,
comparative,
statistical,
complexity
revealed
exploration,
efficiency,
accuracy,
technique.
Global Energy Interconnection,
Год журнала:
2023,
Номер
6(5), С. 567 - 591
Опубликована: Окт. 1, 2023
The
development
of
alternative
renewable
energy
technologies
is
crucial
for
alleviating
climate
change
and
promoting
transformation.
Of
the
currently
available
technologies,
solar
has
promising
application
prospects
owing
to
its
merits
being
clean,
safe,
sustainable.
Solar
converted
into
electricity
through
photovoltaic
(PV)
cells;
however,
overall
conversion
efficiency
PV
modules
relatively
low,
most
captured
dissipated
in
form
heat.
This
not
only
reduces
power
generation
cells
but
may
also
have
a
negative
impact
on
electrical
parameters
service
life
cells.
To
overcome
shortcomings,
an
efficient
approach
involves
combining
cell
with
thermoelectric
generator
(TEG)
hybrid
PV-TEG
systems,
which
simultaneously
improve
system
by
reducing
operating
temperature
increasing
output
utilizing
waste
heat
generated
from
generate
via
TEGs.
Based
thorough
examination
literature,
this
study
comprehensively
reviews
14
maximum
point
tracking
(MPPT)
algorithms
applied
systems
classifies
them
five
major
categories
further
discussion,
namely
conventional,
mathematics-based,
metaheuristic,
artificial
intelligence,
other
algorithms.
review
aims
inspire
advanced
ideas
research
MPPT
systems.
Energy Conversion and Management X,
Год журнала:
2023,
Номер
21, С. 100509 - 100509
Опубликована: Дек. 7, 2023
PV
systems
currently
generate
4%
of
the
world's
energy
needs,
and
their
share
is
growing
quickly.
The
maximum
power
point
tracking
(MPPT)
a
complex
non-convex
optimization
problem
because
electrical
characteristics
model
are
nonlinear.
Changes
in
temperature,
partial
shading
(PS),
irradiance
levels
can
all
affect
amount
that
be
extracted
from
solar
system.
Therefore,
this
work,
novel
valley
optimizer
(EVO)
based
MPPT
algorithm
suggested
to
extract
solar.
classical
perturb
observe
(P&O),
whale
(WOA),
cuckoo
search
(CSA),
particle
swarm
(PSO)
algorithms
compared
EVO.
Five
case
studies,
including
field
atmospheric
data
study,
shading,
variable
irradiance,
used
conduct
in-depth
analytical
statistical
analysis.
Furthermore,
successful
verification
control
on
real
microcontroller
(Arduino
MKRZERO
board)
through
PIL
test
critical
milestone
research.
Quantitative,
comparative,
experimental
results
indicate
proposed
EVO-based
achieves
superior
performance
30%
quicker
time
80%
faster
settling
time,
which
result
4-8%
higher
efficiency.
controller
successfully
addresses
shortcomings
current
methods.
