Enhancing Microgrid Inverter-Integrated Charging Station Performance through Optimization of Fractional-Order PI Controller Using the One-to-One Sine Cosine Algorithm
Fractal and Fractional,
Год журнала:
2024,
Номер
8(3), С. 139 - 139
Опубликована: Фев. 28, 2024
This
paper
is
dedicated
to
optimizing
the
functionality
of
Microgrid-Integrated
Charging
Stations
(MICCS)
through
implementation
a
new
control
strategy,
specifically
fractional-order
proportional-integral
(FPI)
controller,
aided
by
hybrid
optimization
algorithm.
The
primary
goal
elevate
efficiency
and
stability
MICCS-integrated
inverter,
ensuring
its
seamless
integration
into
modern
energy
ecosystems.
MICCS
system
considered
here
comprises
PV
array
as
electrical
power
source,
complemented
proton
exchange
membrane
fuel
cell
supporting
resource.
Additionally,
it
includes
battery
an
electric
vehicle
charging
station.
model
formulated
with
objective
minimizing
integral
square
errors
in
both
DC-link
voltage
grid
current
while
also
reducing
total
harmonic
distortion.
To
enhance
precision
parameter
estimation,
one-to-one
optimizer
sine
cosine
algorithm
(HOOBSCA)
introduced.
approach
improves
exploitation
exploration
characteristics
individual
algorithms.
Different
meta-heuristic
algorithms
are
tested
against
HOOBSCA
different
case
studies
see
how
well
tunes
FPI
settings.
Findings
demonstrate
that
suggested
method
integrated
inverters’
transient
steady-state
performance,
confirming
improved
performance
generating
high-quality
solutions.
best
fitness
value
achieved
proposed
was
3.9109,
outperforming
other
investigated
this
paper.
HOOBSCA-based
successfully
response
voltage,
maximum
overshooting
not
exceeding
8.5%
compared
employed
study.
Язык: Английский
Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation
Sustainability,
Год журнала:
2025,
Номер
17(6), С. 2718 - 2718
Опубликована: Март 19, 2025
This
study
presents
a
comparative
analysis
of
various
optimization
algorithms—Differential
Evolution
(DE),
Particle
Swarm
Optimization
(PSO),
Arithmetic
Algorithm
(AOA),
and
Hippopotamus
(HOA)—for
parameter
identification
in
photovoltaic
(PV)
models.
By
utilizing
RTC
France
solar
cell
data,
we
demonstrate
that
accurate
estimation
is
crucial
for
enhancing
the
efficiency
PV
systems,
ultimately
supporting
sustainable
energy
solutions.
Our
results
indicate
DE
achieves
lowest
root
mean
square
error
(RMSE)
0.0001
double-diode
model
(DDM),
outperforming
other
methods
terms
accuracy
convergence
speed.
Both
HOA
PSO
also
show
competitive
RMSE
values,
underscoring
their
effectiveness
optimizing
parameters
research
not
only
contributes
to
improved
precision
but
aids
broader
effort
advance
renewable
technologies,
thereby
fostering
more
future.
Язык: Английский
Revolutionizing PV grid integration: Metaheuristic optimization of fractional PI controllers in T-type neutral point piloted inverters for enhanced performance
Computers & Electrical Engineering,
Год журнала:
2024,
Номер
120, С. 109694 - 109694
Опубликована: Сен. 14, 2024
Язык: Английский
Harmonics management and hosting capacity enhancement: Optimal double-resistor damped double-tuned power filter with artificial hummingbird optimization
PLoS ONE,
Год журнала:
2024,
Номер
19(5), С. e0303207 - e0303207
Опубликована: Май 10, 2024
This
paper
introduces
a
novel
and
improved
double-resistor
damped
double-tuned
passive
power
filter
(DR-DDTF),
designed
using
multi-objective
optimization
algorithms
to
mitigate
harmonics
increase
the
hosting
capacity
of
distribution
systems
with
distributed
energy
resources.
Although
four
different
topologies
single-resistor
filters
(DDTFs)
have
been
studied
before
in
literature,
effectiveness
two
DR-DDTF
configurations
has
not
examined.
work
redresses
this
gap
by
demonstrating
that
via
comprehensive
simulations
on
systems,
provides
better
harmonic
suppression
resonance
mitigation
than
alternatives.
When
it
comes
optimizing
for
maximum
minimum
system
active
losses,
artificial
hummingbird
outperformed
six
other
benchmark.
To
allow
higher
penetration
generation
without
requiring
grid
upgrades,
newly
developed
good
alternative.
Язык: Английский
Artificial intelligent fuzzy control and LAPO algorithm for enhancement LVRT and power quality of grid connected PV/wind hybrid systems
Noura G. El Sayed,
Ali M. Yousef,
Gaber El-Saady
и другие.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Дек. 16, 2024
Abstract
Low
Voltage
Ride
Through
(LVRT)
is
considered
one
of
the
main
and
serious
problems
facing
electrical
grid.
It
occurs
due
to
three-phase
symmetric
faults
asymmetric
such
as
a
double
line
ground
fault
that
applies
in
this
system.
This
paper
Static
Synchronous
Compensators
(STATCOM)
improve
LVRT
capability
dynamic
performance
an
grid
linked
Photovoltaic
(PV)/Wind
hybrid
system
through
disturbances.
A
power
containing
PV
station
produces
1
MW
wind
farm
from
type
Doubly
Fed
Induction
Generator
(DFIG)
9
connected
STATCOM
with
48
pulses
at
PCC
bus
energized
load.
compensates
reactive
occurred
fault.
The
applied
controller
adjusts
voltage
during
occuring
on
by
compensating
power.
controlled
Proportional–Integral–Derivative
(PID)
compared
Artificial
Intelligence
Control
(AIC)-based
Proportional—Integral
Fuzzy
Logic
(PI
FLC).
Lightning
Attachment
Procedure
Optimization
Algorithm
(LAPO)
optimization
method
used
adjust
parameters
PI
reduce
error
signals.
simulation
model
suggested
has
been
performed
using
Matlab/Simulink.
results
proved
powerful
effectiveness
FLC
reducing
dip,
active
farm,
protecting
DC-link
overvoltage
oscillation
happens
PID
enhancement
capability,
quality.
Язык: Английский
Boosting Walrus Optimizer Algorithm based on ranking-based update mechanism for parameters identification of photovoltaic cell models
Electrical Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 9, 2024
Язык: Английский
Enhancing the LVRT capability of grid connected PV system under disturbed conditions using a novel approach
Facta universitatis - series Electronics and Energetics,
Год журнала:
2024,
Номер
37(3), С. 497 - 516
Опубликована: Янв. 1, 2024
Nowadays,
the
occurrence
of
low
voltages
or
voltage
sags
is
a
common
challenge
during
operation
three-phase
grid-connected
photovoltaic
(PV)
system.
This
research
paper
proposes
an
innovative
approach
to
enhance
ride-through
(LVRT)
capability
such
systems.
The
novel
strategy
proposed
here
relies
on
concept
eliciting
active
components
(EAC)
which
involves
injecting
power
sags,
generating
reference
currents
operate
source
inverter
and
additionally
incorporating
component
algorithm
for
maximizing
point
tracking
from
PV
array.
system
considered
simulation
considers
module
with
maximum
382.9
W.
faults
discussion
are
Line-Line-Line
(LLL),
Line-Line
(LL),
Line-Line-Ground
(LLG)
Line-
Ground
(LG)
faults.
also
grid
frequent
fluctuation.
efficiency
this
control
method
evaluated
in
terms
fault
clearance
time
further
compared
traditional
controllers
compliance
Indian
code
LVRT
requirements.
obtained
results
indicate
that
significantly
reduces
by
69.6%
20.08%
LLG
&
88.8%
72%
LG
comparison
SRFT
SOGI
strategy,
respectively.
It
enhances
DC
link
stability
conventional
strategies
conditions.
ensures
remains
connected
without
interruption
periods.
Язык: Английский