International Journal of Ambient Energy,
Journal Year:
2024,
Volume and Issue:
45(1)
Published: May 6, 2024
Owing
to
rapid
industrialisation,
the
need
for
electrical
energy
fulfil
system
load
demand
at
consumer
end
has
increased
exponentially.
Optimal
Power
Flow
(OPF)
techniques
play
a
vital
role
in
power
operation
and
allocation
of
power.
The
research
article
focuses
on
comprehensively
reviewing
OPF
algorithms,
with
primary
aim
optimising
efficiently
operating
networks.
review
spans
objective
functions,
constraints
solution
algorithms.
It
discusses
classical
approaches,
such
as
linear
programming,
explores
meta-heuristic
like
genetic
simulated
annealing,
etc.
provides
an
exhaustive
overview
these
highlighting
their
strengths,
limitations
applications
solving
complex
problems.
Overall,
is
valuable
resource
understanding,
comparing
implementing
various
methodologies.
Along
this,
attempt
been
made
hybridisation
metaheuristic
algorithms
scalable
parameters.
A
complete
analysis
reported
literature
included
efficient
optimal
systems.
This
paper
will
be
immense
benefit
utility
managers,
industry,
researchers
other
stake
holders
working
this
domain.
International Journal of Energy Research,
Journal Year:
2021,
Volume and Issue:
45(13), P. 18754 - 18769
Published: June 28, 2021
The
accuracy
of
the
modeling
fuel
cell
is
important
for
achieving
precise
simulation
results.
This
article
presents
a
newly
developed
optimization
method
"Chaotic
MayFly
algorithm"
(CMOA)
obtaining
proton
exchange
membrane
(PEMFC)
parameters.
research
mainly
targets
an
accurate
PEMFC
that
provides
good
match
between
results
and
those
measured
practically.
In
this
regard,
I–V
characteristics
PEMFC's
are
non-linear,
there
seven
design
variables
considered
because
manufacturer's
shortage
in
providing
such
information.
problem
formulated
study
non-linear
problem.
objective
function
mathematically
expressed
as
total
squared
error
terminal
voltage
laboratory
vs
estimated
from
model.
Since
metaheuristic
techniques
significantly
influenced
by
initialization,
new
hybridization
chaotic
mapping
MOA
employed
to
tackle
estimation
better
CMOA
applied
find
best
solution
satisfies
preset
conditions.
accurateness
approximated
model
verified
numerically
using
optimal
variables.
under
various
conditions
temperature
pressure.
numerical
compared
with
data
case
many
standard
PEMFCs,
Ballard,
Mark
V
5
kW,
500
W
BCS,
250
stacks.
robustness
proposed
also
tested.
findings
simulations
other
obtained
methods.
Applying
development
IEEE Access,
Journal Year:
2021,
Volume and Issue:
9, P. 54220 - 54232
Published: Jan. 1, 2021
This
paper
presents
a
fully
optimized
fuzzy
proportional-integral-derivative
with
filter
(FPIDF)
load
frequency
controller
(LFC)
for
enhancing
the
performance
of
hybrid
microgrid
system.
The
Marine
Predator
Algorithm
(MPA),
recent
optimization
algorithm,
is
used
to
optimize
gains
as
well
input
scaling
factors
and
membership
functions
proposed
PIDF
controller.
tested
on
two-area
system
containing
various
renewable
energy
sources
storage
devices.
effectiveness
MPA
based
FPIDF
compared
conventional
controllers
other
heuristic
techniques
presented
in
literatures.
Moreover,
different
scenarios
are
implemented
this
study
verify
robustness
sensitivity
step
perturbations,
parameters
variations,
wind
speed
fluctuation
solar
irradiance
variation.
dynamic
response
using
terms
settling
time,
maximum
overshoot
undershoot
values.
results
form
time
domain
simulations
conducted
via
MATLAB/SIMULINK.
Knowledge-Based Systems,
Journal Year:
2021,
Volume and Issue:
232, P. 107467 - 107467
Published: Sept. 4, 2021
The
recently
introduced
Marine
Predators
Algorithm
(MPA)
exhibits
competitive
performance
in
solving
optimization
problems.
However,
it
often
prematurely
converges
due
to
an
imbalance
between
its
exploration
and
exploitation
capabilities.
Therefore,
this
paper,
improved
MPA
variant
using
a
proposed
Local
Escaping
Operator
(LEO)
is
introduced.
In
the
MPA,
solution
candidates
are
replaced
by
better
from
previous
iteration,
mimicking
memory
of
already
visited
prey-abundant
areas.
This
indicates
weak
inter-dependence
population
possible
acceptance
new
created
outside
algorithm
without
damaging
process.
Consequently,
approach,
worst
with
solutions
LEO.
LEO
based
on
representative
solutions,
taking
into
account
relationship
predators
characteristics
their
population.
approach
experimentally
compared
state-of-the-art
meta-heuristics
82
test
functions,
including
IEEE
Congress
Evolutionary
Computation
suites
(CEC'14
CEC'17)
three
engineering
results
show
superiority
LEO-MPA
over
recent
algorithms.
Furthermore,
suitability
hybridization
discussed
successful
attempts
best
algorithms
shown.
Ain Shams Engineering Journal,
Journal Year:
2022,
Volume and Issue:
13(5), P. 101726 - 101726
Published: Feb. 15, 2022
The
penetration
of
renewable
energy
resources
into
electric
power
networks
has
been
increased
considerably
to
reduce
the
dependence
conventional
resources,
reducing
generation
cost
and
greenhouse
emissions.
wind
photovoltaic
(PV)
based
systems
are
most
applied
technologies
in
electrical
compared
other
resources.
However,
there
some
complications
challenges
incorporating
these
due
their
stochastic
nature,
intermittency,
variability
output
powers.
Therefore,
solving
optimal
reactive
dispatch
(ORPD)
problem
with
considering
uncertainties
is
a
challenging
task.
Application
Marine
Predators
Algorithm
(MPA)
for
complex
multimodal
non-linear
problems
such
as
ORPD
under
system
may
cause
entrapment
local
optima
suffer
from
stagnation.
aim
this
paper
solve
deterministic
probabilistic
states
using
an
improved
marine
predator
algorithm
(IMPA).
IMPA
on
enhancing
exploitation
phase
MPA.
proposed
enhancement
updating
locations
populations
spiral
orientation
around
sorted
first
iteration
process,
while
final
stage,
updated
adaptive
steps
closed
best
population
only.
scenario-based
approach
utilized
representation
where
set
scenarios
generated
combination
load
demands
validated
tested
IEEE
30-bus
well
captured
results
those
outcomes
state-of-the-art
algorithms.
A
computational
study
shows
superiority
over
reported
