Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Апрель 25, 2023
Abstract
Solar
energy
offers
several
environmental,
economic,
and
security
advantages.
Parasitic
parameters
shading
on
solar
panels
can
reduce
efficiency.
This
paper
presents
a
bio-inspired
Enhanced
Slime
Mold
(ESM)
algorithm
search
strategy
to
find
the
optimal
power
point
by
simulating
behaviour
of
slime
molds
in
virtual
environment.
In
panel,
proposed
ESM
provides
not
only
for
parameter
extraction
but
also
serves
as
Maximum
Power
Point
Tracking
(MPPT)
during
Partial
Shading
Conditions
(PSC).
Proposed
dynamic
is
examined
under
irradiation
various
temperature
conditions.
The
effectiveness
technique
has
been
validated
extracting
from
conventional
polycrystalline
monocrystalline
modules
form
5S-5P
arrangement.
instance
MPPT
operation,
compared
with
Ant
Bee
Colony
Perturb&
Observe
(ABC-PO)
determine
its
efficacy.
Moreover,
unknown
cell
existing
optimization
algorithms
such
Artificial
Swarm
Optimization
(ABC
SO),
Genetic
Algorithm
(GA),
Covariant
Matrix
(CM),
(ABC),
Advanced
Particle
(APSO).
this
connection,
superior
above-mentioned
due
high
accuracy,
smaller
number
computations,
minimum
computational
time.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Март 18, 2024
Abstract
Solar
power
is
a
renewable
energy
source,
and
its
efficient
development
utilization
are
important
for
achieving
global
carbon
neutrality.
However,
partial
shading
conditions
cause
the
output
of
PV
systems
to
exhibit
nonlinear
multipeak
characteristics,
resulting
in
loss
power.
In
this
paper,
we
propose
novel
Maximum
Power
Point
Tracking
(MPPT)
technique
based
on
Dung
Beetle
Optimization
Algorithm
(DBO)
maximize
under
various
weather
conditions.
We
performed
performance
comparison
analysis
DBO
with
existing
renowned
MPPT
techniques
such
as
Squirrel
Search
Algorithm,
Cuckoo
search
Optimization,
Horse
Herd
Particle
Swarm
Adaptive
Factorized
Gray
Wolf
Hybrid
Nelder-mead.
The
experimental
validation
carried
out
HIL
+
RCP
physical
platform,
which
fully
demonstrates
advantages
terms
tracking
speed
accuracy.
results
show
that
proposed
achieves
99.99%
maximum
point
(GMPP)
efficiency,
well
improvement
80%
convergence
rate
stabilization
rate,
8%
average
A
faster,
more
robust
GMPP
significant
contribution
controller.
e-Prime - Advances in Electrical Engineering Electronics and Energy,
Год журнала:
2023,
Номер
6, С. 100351 - 100351
Опубликована: Ноя. 16, 2023
Energy
conversion
is
a
fundamental
process
that
finds
application
in
diverse
domains,
including
renewable
energy
systems,
electric
vehicles,
and
industrial
power
systems.
The
selection
of
an
appropriate
topology
pivotal
optimizing
system
performance,
efficiency,
reliability.
This
review
paper
presents
comprehensive
overview
topologies
employed
wind
as
well
their
applicability
various
other
domains.
begins
by
elucidating
the
underlying
principles
requirements
with
specific
emphasis
on
crucial
role
played
Maximum
Power
Point
Tracking
achieving
efficient
harvesting.
Furthermore,
provides
in-depth
analysis
commonly
utilized
topologies.
Each
scrutinized
based
its
operating
principles,
merits,
drawbacks,
typical
applications.
In
addition,
showcases
recent
advancements
emerging
trends
topologies,
such
multi-level
converters,
matrix
resonant
converters.
also
addresses
challenges
encountered
future
directions
this
field,
particular
focus
developing
more
adaptable
MPPT
techniques
for
wide
range
sources.
serves
invaluable
resource
researchers,
engineers,
practitioners
involved
dynamic
realm
conversion.
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.
Clean Energy,
Год журнала:
2023,
Номер
7(4), С. 824 - 842
Опубликована: Июнь 3, 2023
Abstract
Non-homogeneous
irradiation
patterns
and
temperature
levels
immensely
affect
the
performance
of
solar
photovoltaic
arrays.
Partial
shading
conditions
on
arrays
reduce
peak
power
efficiency.
This
paper
provides
a
new
remedy
called
novel
Ramanujan
reconfiguration
(NRR)
to
eliminate
this
physical
problem
in
systems.
NRR
is
static-based
reconfigured
technique
that
built
using
three-diode
model
with
help
MATLAB®/Simulink®
tool.
The
special
feature
proposed
when
shade
occurs
modules,
it
gets
realigned
particular
row,
column,
diagonal,
corner,
centre
middle
peripheral
cages.
helps
over
wide
range
dispersion
array.
topology
tested
against
conventional
total
cross-tied
(TCT)
recently
introduced
advanced
models,
namely
odd–even
(OET)
Kendoku
(KDT).
results
are
under
certain
conditions.
increases
by
4.45,
2.15
2.17
W
first
condition
regarding
TCT,
OET
KDT.
Its
efficiency
improved
0.51–2.18%
third
compared
other
considered
models
study.
In
addition,
leads
smooth
output
curves
second,
fourth
conditions,
effectively
mitigating
local
peaks.
experimental
show
enhanced
models.
