Smart Science,
Journal Year:
2024,
Volume and Issue:
12(3), P. 495 - 518
Published: June 4, 2024
Among
the
most
significant
non-linear
challenges
for
power
network
design
and
smooth
functioning
of
current
modern
updated
system
networks
is
optimum
flow
(OPF)
problem.
Importance
electrical
modeling
has
recently
come
to
light
due
incremental
use
energy
from
renewable
sources
in
systems
networks.
The
goal
wind,
solar
tidal
recreate
issue
OPF.
In
this
work,
Weibull,
Lognormal,
also
Gumbel
probability
distribution
functions
were
applied
simulate
uncertainties
photovoltaic,
system.
Additionally,
by
adding
test
scenarios
unpredictable
involving
minimization
cost
function,
loss
active
power,
voltage
deviation,
increase
stability
voltage.
accordance
with
chosen
thermal
producing
units,
solutions
evaluated
using
different
locations
IEEE
30-bus
testing
that
incorporate
sources.
proposed
planning
problem
was
solved
multi-objective
function
where
unified
controller
are
utilized
as
flexible
AC
transmission
controllers
via
introduced
optimization
algorithms
simulation
outcomes
aforementioned
technique
have
been
compared
Multi
Objective
Adaptive
Guided
Differential
Evolution
algorithms.
adaptive
improved
flower
pollination
algorithm
(AIFPA)
a
strong
reliable
presented
work.
AIFPA
can
efficiently
deal
many
kinds
high-complexity
objective
regions
situations.
Utilizing
an
system,
suggested
approaches'
performance
examined
range
functions.
results
obtained
effective
finding
optimal
solution
meta-heuristic
reported
literature.
Knowledge-Based Systems,
Journal Year:
2024,
Volume and Issue:
295, P. 111737 - 111737
Published: April 12, 2024
This
study
proposes
a
novel
artificial
protozoa
optimizer
(APO)
that
is
inspired
by
in
nature.
The
APO
mimics
the
survival
mechanisms
of
simulating
their
foraging,
dormancy,
and
reproductive
behaviors.
was
mathematically
modeled
implemented
to
perform
optimization
processes
metaheuristic
algorithms.
performance
verified
via
experimental
simulations
compared
with
32
state-of-the-art
Wilcoxon
signed-rank
test
performed
for
pairwise
comparisons
proposed
algorithms,
Friedman
used
multiple
comparisons.
First,
tested
using
12
functions
2022
IEEE
Congress
on
Evolutionary
Computation
benchmark.
Considering
practicality,
solve
five
popular
engineering
design
problems
continuous
space
constraints.
Moreover,
applied
multilevel
image
segmentation
task
discrete
experiments
confirmed
could
provide
highly
competitive
results
problems.
source
codes
Artificial
Protozoa
Optimizer
are
publicly
available
at
https://seyedalimirjalili.com/projects
https://ww2.mathworks.cn/matlabcentral/fileexchange/162656-artificial-protozoa-optimizer.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 3202 - 3223
Published: March 8, 2024
As
the
world
witnesses
a
surge
in
adoption
of
renewable
energy
sources
to
meet
surging
global
power
demands,
dynamic
and
intermittent
nature
these
emerges
as
significant
hurdle.
This
article
extensively
explores
potential
advanced
control
systems,
storage
technologies,
resources
fortify
stability
within
systems.
Advanced
methodologies
are
strategically
amalgamated
with
deployment
utilization
energy,
advance
reliability,
predictability,
sustainability
The
analysis,
dedicated
focus
on
Input-to-input-to-state
(ISS),
is
conducted
meticulously
by
applying
Lyapunov
function
Reciprocally
Convex
Approach,
resulting
an
impressive
rate
23.6%.
Additionally,
Positive
Realness
substantiated
extracting
Linear
Matrix
Inequalities
(LMI)
context
Enhancing
Grid
Stability
Wind
Power.
study
places
particular
emphasis
evaluating
ISS
Passivity
both
delayed
non-delayed
specific
neutral
time-delay
evaluation
involves
selection
appropriate
Lyapunov-Krasovskii
Functional
(LKF)
its
derivation,
coupled
integration
reciprocally
convex
methods,
descriptive
approach,
Jensen
inequality.
outcomes
analyses
shed
light
causes
excess
effective
storage,
along
highlighting
synergistic
impact
integrating
controlling
grid
frequency,
voltage,
real
time.
also
accentuates
robustness
achieved
through
Enhanced
mitigation
Reduced
Fluctuations,
especially
sources.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 982 - 1005
Published: Jan. 3, 2024
Optimal
power
flow
(OPF)
problem
solution
is
a
crucial
task
for
the
operators
and
decision
makers
to
assign
best
setting
of
system
components
obtain
most
economic,
environmental,
technical
suitable
state.
Artificial
Hummingbird
Algorithm
recent
optimization
algorithm
that
has
been
applied
solving
several
problems.
In
this
paper,
Modified
(MAHA)
proposed
improving
performance
orignal
as
well
effectivelly
solve
OPF
problem.
The
MAHA
based
on
searching
capability
by
boosting
exploitation
using
bandwidth
motion
around
solution,
while
exploration
process
improved
Levy
flight
distribution
fitness-distance
balance
selection.
This
modified
version
helps
overcome
issues
such
stagnation,
premature
convergence,
propensity
local
optima
when
tackling
complex,
nonlinear,
non-convex
problems
like
OPF.
order
confirm
effectiveness
algorithm,
series
tests
are
conducted
23
standard
benchmark
functions,
including
CEC2020.
resulting
outcomes
then
compared
those
obtained
other
algorithms
selection-based
stochastic
fractal
search
(FDBSFS),
antlion
optimizer
(ALO),
whale
(WOA),
sine-cosine
(SCA),
learning
artificial
bee
colony
(FDB-TLABC),
traditional
hummingbird
(AHA).The
evaluated
with
multiple
objective
functions
IEEE
30-bus
system.
These
objectives
include
fuel
cost,
cost
valve
loading
effects,
losses,
emissions,
voltage
profile.
Additionally,
algorithm's
further
assessed
testing
it
single
medium
large-scale
57
118-bus
networks.The
results
demonstrate
its
superiority
,
surpassing
reported
techniques.
IEEE Access,
Journal Year:
2022,
Volume and Issue:
10, P. 132396 - 132431
Published: Jan. 1, 2022
In
this
article,
a
new
metaheuristic
algorithm
called
Siberian
Tiger
Optimization
(STO)
is
designed
to
deal
with
optimization
applications.
The
fundamental
inspiration
of
STO
the
imitation
natural
behavior
tiger
during
hunting
and
fighting.
First,
whole
design
its
mathematical
model's
two
phases
are
explained.
Then,
efficiency
proposed
approach
in
tasks
evaluated
on
sets
various
standard
benchmark
functions
from
CEC
2017
test
suite.
addition,
2011
suite
four
engineering
problems
employed
analyze
ability
handle
real-world
Finally,
quality
results
obtained
compared
performance
twelve
well-known
algorithms.
simulation
show
that
STO,
high
power
exploration
exploitation
creating
balance
between
them,
has
provided
better
than
competitor
algorithms
superior
handling
