Results in Engineering,
Год журнала:
2024,
Номер
23, С. 102642 - 102642
Опубликована: Авг. 2, 2024
This
paper
presents
a
comprehensive
study
on
advanced
control
and
energy
management
in
multi-source/multi-load
microgrid.
The
microgrid
integrates
solar
panels,
wind
turbine
system,
Li-ion
battery-based
storage
an
electric
vehicle
(EV),
DC
load,
all
inter-connected
through
power
electronic
converters
to
bus
linked
the
AC
grid
via
DC/AC
inverter.
outlines
primary
objectives:
voltage
regulation,
optimization
of
photovoltaic
conversion,
maintaining
high-quality
injection
into
grid.
Given
intermittent
nature
varying
demands
that
affect
battery
life
performance,
novel
algorithm
is
introduced.
addresses
different
operating
modes,
such
as
Constant
Current
(CC)
Voltage
(CV),
enhance
network
stability,
quality,
optimize
distribution
between
various
sources
EV.
proposed
fuzzy
logic
controllers,
known
for
their
robustness
uncertainties,
flexibility,
ease
implementation,
are
employed
achieve
these
objectives.
Particle
Swarm
Optimization
(PSO)
used
fine-tune
parameters,
ensuring
optimal
performance.
process
included
minimizing
Integral
Absolute
Error
(IAE),
Square
(ISE),
Time-weighted
(ITSE)
objective
functions.
Extensive
simulations
under
scenarios
demonstrated
significant
improvements
accuracy,
system
PLoS ONE,
Год журнала:
2024,
Номер
19(4), С. e0300527 - e0300527
Опубликована: Апрель 17, 2024
This
study
tackles
the
complex
task
of
integrating
wind
energy
systems
into
electric
grid,
facing
challenges
such
as
power
oscillations
and
unreliable
generation
due
to
fluctuating
speeds.
Focused
on
conversion
systems,
particularly
those
utilizing
double-fed
induction
generators
(DFIGs),
research
introduces
a
novel
approach
enhance
Direct
Power
Control
(DPC)
effectiveness.
Traditional
DPC,
while
simple,
encounters
issues
like
torque
ripples
reduced
quality
hysteresis
controller.
In
response,
proposes
an
innovative
DPC
method
for
DFIGs
using
artificial
neural
networks
(ANNs).
Experimental
verification
shows
ANNs
effectively
addressing
with
controller
switching
table.
Additionally,
addresses
speed
variability
by
employing
network
directly
control
reactive
active
DFIG,
aiming
minimize
varying
Results
highlight
effectiveness
reliability
developed
intelligent
strategy,
outperforming
traditional
methods
reducing
current
harmonics
improving
dynamic
response.
contributes
valuable
insights
enhancing
performance
renewable
advancing
solutions
integration
complexities.
Indonesian Journal of Electrical Engineering and Computer Science,
Год журнала:
2024,
Номер
35(1), С. 52 - 52
Опубликована: Май 6, 2024
This
paper
presents
a
nonlinear
observer
for
variable-speed
wind
energy
conversion
system
(WECS)
utilizing
permanent
magnet
synchronous
generator
(PMSG).
The
study
addresses
the
design
of
high-gain
sampled-data
observers
based
on
WECS
model,
supported
by
formal
convergence
analysis.
An
essential
aspect
this
is
incorporation
time-varying
gain,
significantly
enhancing
performance.
Convergence
estimation
errors
demonstrated
using
input-to-state
stability
method.
Simulation
proposed
conducted
MATLAB-Simulink
tool.
obtained
results
are
presented
and
analyzed
to
showcase
overall
effectiveness
system.
IFAC-PapersOnLine,
Год журнала:
2024,
Номер
58(13), С. 478 - 483
Опубликована: Янв. 1, 2024
This
article
presents
a
control
approach
for
photovoltaic
system
connected
to
an
AC
load,
aiming
optimize
the
use
of
energy
generated
by
solar
panels
directly
power
independent
electricity
grid.
The
studied
is
autonomous
conversion
without
storage.
A
new
topology
multilevel
inverter
utilized
take
advantage
its
simplicity
and
high
efficiency.
Additionally,
convert
DC
with
reduced
harmonic
distortion,
employs
7-level
pulse
width
modulation
(LS-PWM)
technique,
minimizing
distortion
demonstrating
reliability.
sliding
mode
strategy
applied
boost
converter
achieve
stable
voltage
frequency,
improve
total
(THD),
minimize
losses
in
converter.
By
efficiently
managing
flow
maintaining
stability,
ensures
optimal
performance
variable
load.
proposed
controlled
are
validated
through
Matlab
Simulink
simulations.
