In
this
paper,
various
type
of
nonlinear
convergence
factors
based
Grey
Wolf
optimization
(GWO)
is
proposed
to
optimally
compute
the
Proportional-Integral-Derivative
(PID)
controller
gains
control
grid
frequency
in
a
single
area
power
system.
The
PID
controlled
system
are
determined
by
using
GWO
algorithm,
considering
cost
function,
integral
time-weighted
absolute
error
(ITAE).
efficiency
designed
verified
under
constant
and
variable
loads,
comparative
results
given
for
uncontrolled
cases.
Moreover,
algorithm
investigated
linear
coefficients
comparatively.
model
constructed
MATLAB,
indicate
that
transient
steady
state
responses
superior
those
when
applied
GWO.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102442 - 102442
Published: June 19, 2024
This
paper
presents
an
innovative
approach
for
automatic
generation
control
power
system
under
a
deregulated
setting.
The
main
objective
of
this
work
is
to
optimally
tune
the
parameters
fractional-order
controller
using
newly
developed
Aquila
Optimizer
(AO)
enhance
performance.
A
test
comprising
thermal
plant,
hydroelectric
system,
gas
turbine-based
and
wind
energy
sources
examined
environment.
study
emphasizes
minimization
frequency
variations,
tie
line
deviations,
area
errors
during
diverse
operational
shifts.
proposed
strategy
explores
response
generators
in
hybrid
emphasizing
critical
role
properly
tuned
Fractional
Order
Proportional-Integral-Derivative
(FOPID)
controllers
ensuring
stability.
potential
effectiveness
algorithm
are
compared
with
particle
swarm
optimization
(PSO)
whale
(WOA)
based
performance
same
system.
function
set
as
integral
time
absolute
error
(ITAE)
index.
Furthermore,
efficacy
technique
Unified
Power
Flow
Controller
(UPFC)
its
superiority
validated.
Performance
evaluation
conducted
Poolco
agreement,
bilateral
varying
operating
conditions.
Comparative
assessments
reveal
AO-driven
FOPID
over
other
techniques,
demonstrating
improved
metrics,
including
frequencies
across
different
areas,
tie-line
generator
outputs.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: April 24, 2024
Abstract
Maintaining
a
power
balance
between
generation
and
demand
is
generally
acknowledged
as
being
essential
to
maintaining
system
frequency
within
reasonable
bounds.
This
especially
important
for
linked
renewable-based
hybrid
systems
(HPS),
where
disruptions
are
more
likely
occur.
paper
suggests
prominent
modified
“Fractional
order-proportional-integral
with
double
derivative
(FOPIDD2)
controller”
an
innovative
HPS
controller
in
order
navigate
these
obstacles.
The
recommended
control
approach
has
been
validated
including
wind,
reheat
thermal,
solar,
hydro
generating,
well
capacitive
energy
storage
electric
vehicle.
improved
controller’s
performance
evaluated
by
comparing
it
regular
FOPID,
PID,
PIDD2
controllers.
Furthermore,
the
gains
of
newly
structured
FOPIDD2
optimized
using
intended
algorithm
terms
squid
game
optimizer
(SGO).
compared
benchmarks
such
grey
wolf
(GWO)
jellyfish
search
optimization.
By
characteristics
maximum
undershoot/overshoot,
steadying
time,
SGO-FOPIDD2
outperforms
other
techniques.
suggested
SGO
was
analyzed
its
ability
withstand
influence
parameter
uncertainties
under
various
loading
scenarios
situations.
Without
any
complicated
design,
results
show
that
new
can
work
steadily
regulate
appropriate
coefficient.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(13), P. 5558 - 5558
Published: June 28, 2024
The
main
concern
of
the
present
article
is
to
design
a
robust
load
frequency
control
for
two-area
power
system
(TAPS)
comprising
renewable
energy
resources.
Three
different
controllers
are
suggested.
first
based
on
super
twisting
(ST)
technique,
which
an
enhanced
approach
sliding
mode
and
considered
be
one
most
excellent
techniques.
second
third
two
recent
metaheuristic
techniques,
namely
one-to-one
optimizer
(OOBO)
hippopotamus
(HO).
studied
TAPS
contains
resources,
such
as
solar
thermal,
photovoltaic,
wind
energy,
hydropower
storage
in
addition
other
conventional
sources.
OOBO
HO
used
determine
parameters
PI
controllers,
objective
function
minimize
integral
square
error
tie
line
power.
obtained
results
verify
high
performance
suggested
three
with
superiority
ST
because
its
intrinsic
capability
cope
parameter
changes.
Energies,
Journal Year:
2024,
Volume and Issue:
17(2), P. 517 - 517
Published: Jan. 20, 2024
Electrical
power
networks
consist
of
numerous
energy
control
zones
connected
by
tie-lines,
with
the
addition
nonconventional
sources
resulting
in
considerable
variations
tie-line
and
frequency.
Under
these
circumstances,
a
load
frequency
(LFC)
loop
gives
constancy
security
to
interconnected
systems
(IPSs)
supplying
all
consumers
high-quality
at
nominal
change.
This
article
proposes
employing
proportional–integral–derivative
(PID)
controller
effectively
one-area
multi-source
network
comprising
thermal,
solar,
wind,
fuel
cells
thermal
two-area
IPS.
The
particle
swarm
optimization
(PSO)
technique
was
utilized
tune
PID
parameters,
integral
time
absolute
error
being
as
an
objective
function.
efficacy
stability
PSO-PID
methodology
were
further
tested
various
scenarios
for
proposed
networks.
fluctuations
associated
source
IPS’s
area
1
2
59.98
Hz,
59.81
60
respectively,
and,
other
investigated
scenarios,
they
less
than
that
traditional
controller.
results
clearly
show
that,
terms
responses,
performs
better
conventional
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 66625 - 66645
Published: Jan. 1, 2024
This
work
addresses
the
important
issue
of
frequency
stability
in
shipboard
microgrids
(SMGs),
which
are
confronted
with
difficulties
because
alternating
power
insertion
from
green
sources
and
low
system
inertia.
In
order
to
sustain
a
consistent
(despite
uncertainties),
study
precisely
calibrated
regulator
is
necessary.
Therefore,
this
article
proposed
new
combined
3
degree
freedom
proportional
integral
derivative
(3DOF-PID)
tilted-integral
(TI)
regulators
for
achieving
enhanced
performance,
robustness,
enhance
performance
grid.
The
superior
suggested
3DOF-PID-TI
has
been
assured
by
comparing
it
three
distinct
controller
architectures
(FOPID,
PDPID2
2DOF-PID)
multi-energy
SMG
system.
investigation
also
took
into
account
temporal
delays
brought
on
communication
links
between
sensor
regulator.
triangulation
topology
aggregation
optimizer
(TTAO),
relatively
meta-heuristic
technique
that
hasn't
employed
load
control
(LFC)
issues
until
recently,
was
adjust
controllers'
parameters.
TTAO's
outcomes
were
thoroughly
contrasted
those
other
optimization
algorithms
(i.e.,
Chimp,
Whale,
Gradient-Based
Optimization
Algorithms)
so
as
evaluate
efficacy
optimizer.
findings
showed
controller,
whose
parameters
tuned
TTAO,
outperformed
its
competitors
terms
overshoot
(15.87mHz),
undershoot
(-29.04mHz),
settling
time
(2.49sec)
index
ITAE(0.0171)).
Additionally,
controller's
robustness
assessed
range
operating
situations
ex.
(Random
Multi-Step
Variation
Load,
Real
Data
Stochastic
Power
Fluctuations,
Energy
Storage
System
Impact
sensitivity
analysis).
acquired
data
amply
proved
when
crucial
experience
substantial
variation,
gains
set
under
normal
circumstances
do
not
need
be
re-tuned.
