International Journal of Energy Research,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Jan. 1, 2024
In
this
paper,
a
novel
approach
is
presented
for
optimizing
economic
dispatch
(ED)
in
power
systems
featuring
solar
farms
and
flexible
loads.
The
ED
problem
formulated
as
multiobjective
optimization
task
with
stochastic
characteristics.
To
address
challenge,
hybrid
algorithm
named
differential
evolution
(hDE)‐multiobjective
flower
pollination
(MOFPA)
proposed,
which
integrates
principles
from
the
MOFPA,
yielding
enhanced
performance.
Two
weighted
objective
functions
are
introduced
to
represent
operation
cost
system
generation
flexibility
index
(GFI)
based
on
carefully
selected
scenarios.
occurrence
probability
of
each
scenario
influences
function’s
final
value.
Monte
Carlo
simulation
(MCS)
utilized
selection,
enabling
comprehensive
assessment
We
first
evaluate
proposed
by
standard
benchmark
comparing
results
against
those
other
state‐of‐the‐art
algorithms.
outcomes
demonstrate
superior
accuracy
efficiency
hDE‐MOFPA
algorithm.
subsequent
phase,
we
optimally
solve
problem,
considering
uncertainties
involvement
A
sensitivity
analysis
conducted
examine
impact
loads
both
emissions.
reveal
that
combined
uncertainty
load
photovoltaic
(PV)
significantly
system.
By
adopting
approach,
our
method
offers
valuable
insights
into
loads,
various
indicates
leads
4.9%
increase
operational
expenditures
4.1%
decrease
GFI.
Also,
irradiation
range
5%
20%,
GFI
experiences
decline
4.08%
20.18%,
while
costs
undergo
an
4.92%
18.93%.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 25, 2025
Abstract
Studying
and
evaluating
the
power
quality
(PQ)
of
an
electrical
network
for
nuclear
installation
is
important
issue
a
hot
research
topic
guaranteeing
reliable
safe
operation
sensitive
loads
during
this
type
installation.
As
several
PQ
phenomena
determine
overall
performance,
analyzing
signals
one
major
challenges
researchers
in
field.
Technically,
voltage
imbalance,
current
harmonic
distortion,
factor
are
five
that
judge
performance
system.
Multicriteria
decision-making
(MCDM)
used
here
as
methodology
to
identify
weighting
each
phenomenon.
This
paper
proposes
evaluation
method
reactor
(NRR)
based
on
two
MCDM.
Methods
analytic
hierarchy
process
(AHP)
criterion
importance
through
inter-criteria
correlation
(CRITIC).
A
MATLAB/Simulink
model
NRR
system
presented,
then
its
validity
credibility
verified
via
measurements.
In
study,
different
abnormal
conditions
simulated
generate
disturbances,
including
three-phase
nonlinear
load
simulate
harmonics,
unbalanced
unbalance,
inductive
change
factor.
The
effectiveness
robustness
proposed
demonstrated
these
case
studies.
results
show
obtained
CPQI
dynamic
weight
approach
allows
more
accurate
evaluations
by
adjusting
various
depending
operational
priorities.
main
contribution
single
compound
index
(CPQI)
was
developed
both
weights
from
AHP-CRITIC
methods
under
conditions,
considering
threshold
level
phenomena.
analysis
shows
accurately
evaluates
performance.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 23, 2025
This
paper
investigates
the
economic
energy
management
of
a
wireless
electric
vehicle
charging
stations
(EVCS)
connected
to
hybrid
renewable
system
comprising
photovoltaic
(PV),
wind,
battery
storage,
and
main
grid.
The
study
adopts
an
Improved
Harris
Hawk
Optimization
(IHHO)
algorithm
optimize
minimize
operational
costs
under
varying
scenarios.
Three
distinct
EV
load
profiles
are
considered
evaluate
performance
proposed
optimization
technique.
Simulation
results
demonstrate
that
IHHO
achieves
significant
cost
reductions
improves
utilization
efficiency
compared
other
state-of-the-art
algorithms
such
as
Quantum
Particle
Swarm
(IQPSO),
Honeybee
Mating
(HBMO),
Enhanced
Exploratory
Whale
Algorithm
(EEWOA).
For
scenarios
with
energies,
reduced
electricity
by
up
36.41%,
achieving
per-unit
low
3.17
INR
for
most
demanding
profile.
Under
generation
disconnection,
maintained
its
superiority,
reducing
37.89%
unoptimized
dispatch
strategies.
integration
storage
further
enhanced
system's
resilience
cost-effectiveness,
particularly
during
periods
unavailability.
algorithm's
robust
performance,
reflected
in
ability
handle
dynamic
challenging
conditions,
demonstrates
potential
practical
deployment
real-world
EVCS
powered
systems.
findings
highlight
reliable
efficient
tool
optimizing
dispatch,
promoting
energy,
supporting
sustainable
infrastructure
development.
outperforms
all
benchmark
algorithms,
35.82%
Profile
3,
minimum
3.11
INR/kWh
across
Specifically,
achieved
lowest
6479.72
INR/day
1,
10,893.23
2,
20,821.63
consistently
outperforming
IQPSO,
HBMO,
EEWOA.
