Energies,
Journal Year:
2022,
Volume and Issue:
15(20), P. 7498 - 7498
Published: Oct. 12, 2022
This
paper
proposes
a
novel
maximum
power
point
tracking
(MPPT)
method
inspired
by
the
horse
racing
game
for
standalone
photovoltaic
(PV)
systems,
such
that
highest
PV
conversion
efficiency
is
obtained.
From
rules,
we
develop
algorithm
(HRA)
with
qualifying
stage
and
final
ranking
stage.
The
MPP
can
be
searched
even
if
there
exist
multiple
local
MPPs
system.
Moreover,
from
proposed
algorithm,
calculation
reduced,
so
transient
searching
points
are
less
than
traditional
methods,
i.e.,
oscillation
during
MPPT
control.
Therefore,
HRA
based
avoids
traps
achieves
quickly
considering
partial
shading
influence
varying
environment
panels.
Evidence
of
accuracy
effectiveness
exhibited
simulation
results.
These
results
also
compared
typical
particle
swarm
optimization
(PSO)
grey
wolf
(GWO)
methods
shown
better
convergence
time
as
well
oscillation.
Within
range
0.34
to
0.58
s,
has
effectively
tracked
global
point,
which
0.42
0.48
s
faster
conventional
PSO
technique
0.36
0.74
GWO
method.
Finally,
obtained
findings
proved
superiority
through
experimental
fast
response
in
terms
good
0.40
1.0
while
1.56
1.6
1.9
2.2
respectively.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 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.
Results in Control and Optimization,
Journal Year:
2024,
Volume and Issue:
15, P. 100424 - 100424
Published: April 25, 2024
Prey-predator
interaction
is
among
the
most
crucial
aspects
of
ecology.
In
this
paper,
dynamics
a
prey-predator
system
in
which
prey
and
predator
populations
experience
birth
rate
reduction
due
to
global
warming
wind
flow
effect
on
them
are
investigated.
The
system's
well-posedness
before
presenting
findings
about
existence
potential
equilibrium
points
studied.
Conditions
under
different
number
interior
equilibria
exist
also
derived
here.
It
very
important
know
that
when
positive
point
stable,
reflects
positively
ecosystem,
its
continuity
persistence.
conditions
have
been
identified
preserve
ecosystem
from
extinction
environmental
influences
such
as
speed
present.
addition,
local
stability
study
around
all
established
transversality
criteria
for
occurrence
transcritical
bifurcations
Hopf
conducted.
numerically
by
altering
prey's
illustrated
,
showcasing
model's
dynamic
character
mathematical
perspective.
For
significant
amounts
warming,
notice
exhibits
periodic
behavior.
Thus,
ecologists
can
approximate
parameters
necessary
investigate
obtain
regarding
nonlinear
systems
with
aid
current
study.
PLoS ONE,
Journal Year:
2023,
Volume and Issue:
18(11), P. e0293613 - e0293613
Published: Nov. 3, 2023
Solar
energy,
a
prominent
renewable
resource,
relies
on
photovoltaic
systems
(PVS)
to
capture
energy
efficiently.
The
challenge
lies
in
maximizing
power
generation,
which
fluctuates
due
changing
environmental
conditions
like
irradiance
and
temperature.
Maximum
Power
Point
Tracking
(MPPT)
techniques
have
been
developed
optimize
PVS
output.
Among
these,
the
incremental
conductance
(INC)
method
is
widely
recognized.
However,
adapting
INC
varying
remains
challenge.
This
study
introduces
an
innovative
approach
adaptive
MPPT
for
grid-connected
PVS,
enhancing
classical
by
integrating
PID
controller
updated
through
fuzzy
self-tuning
(INC-FST).
INC-FST
dynamically
regulates
boost
converter
signal,
connecting
PVS's
DC
output
inverter.
A
comprehensive
evaluation,
comparing
proposed
technique
(INC-FST)
with
conventional
methods
such
as
INC,
Perturb
&
Observe
(P&O),
Fuzzy
Logic
(INC-FL),
was
conducted.
Metrics
assessed
include
current,
voltage,
efficiency,
power,
bus
voltage
under
different
climate
scenarios.
MPPT-INC-FST
algorithm
demonstrated
superior
achieving
99.80%,
99.76%,
99.73%
three
distinct
Furthermore,
comparative
analysis
highlighted
its
precision
terms
of
control
indices,
minimizing
overshoot,
reducing
rise
time,
