Multi-objective nutcracker optimization algorithm based on fast non-dominated sorting and elite strategy for grid-connected hybrid microgrid system scheduling
Renewable Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 122455 - 122455
Published: Jan. 1, 2025
Language: Английский
Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 13, 2024
Abstract
This
paper
explores
scenarios
for
powering
rural
areas
in
Gaita
Selassie
with
renewable
energy
plants,
aiming
to
reduce
system
costs
by
optimizing
component
numbers
meet
demands.
Various
scenarios,
such
as
combining
solar
photovoltaic
(PV)
pumped
hydro-energy
storage
(PHES),
utilizing
wind
PHES,
and
integrating
a
hybrid
of
PV,
wind,
have
been
evaluated
based
on
diverse
criteria,
encompassing
financial
aspects
reliability.
To
achieve
the
results,
meta-heuristics
Multiobjective
Gray
wolf
optimization
algorithm
(MOGWO)
Grasshopper
(MOGOA)
were
applied
using
MATLAB
software.
Moreover,
optimal
sizing
has
investigated
real-time
assessment
data
meteorological
from
Sillasie,
Ethiopia.
Metaheuristic
techniques
employed
pinpoint
most
favorable
loss
power
supply
probability
(LPSP)
least
cost
(COE)
total
life
cycle
(TLCC)
system,
all
while
meeting
operational
requirements
various
scenarios.
The
Multi-Objective
Grey
Wolf
Optimization
technique
outperformed
Algorithm
problem,
suggested
results.
Furthermore,
MOGWO
findings,
PV-Wind-PHES
demonstrated
lowest
COE
(0.126€/kWh)
TLCC
(€6,897,300),
along
satisfaction
village's
demand
LPSP
value.
In
PV-Wind-PHSS
scenario,
are
38%,
18%,
2%,
1.5%
lower
than
those
Wind-PHS
PV-PHSS
at
0%,
according
Overall,
this
research
contributes
valuable
insights
into
design
implementation
sustainable
solutions
remote
communities,
paving
way
enhanced
access
environmental
sustainability.
Language: Английский
Improved Artificial Rabbits Algorithm for Positioning Optimization and Energy Control in RIS Multiuser Wireless Communication Systems
IEEE Internet of Things Journal,
Journal Year:
2024,
Volume and Issue:
11(11), P. 20605 - 20618
Published: March 5, 2024
An
innovative
method
to
raise
wireless
communication
systems'
efficiency
is
use
Reconfigurable
Intelligent
Surface
(RIS).
Unfortunately,
determining
the
quantity
and
locations
of
RIS
elements
continues
be
difficult,
requiring
a
clever
optimization
framework.
Concerning
practical
overlap
between
related
multi-RISs
in
systems,
this
paper
attempts
minimize
number
RISs
while
considering
average
possible
data
rate
technological
constraints.
In
regard,
novel
Enhanced
Artificial
Rabbits
Algorithm
(EARA)
developed
installed.
The
EARA
inspired
by
natural
survival
strategies
rabbits,
including
detour
eating
random
concealment.
A
more
effective
exploring
search
space
around
best
solution
so
far
produced
suggested
combining
an
upgraded
Collaborative
Searching
Operator
(CSO)
arrangement.
Also,
adaptive
time
function
included
increase
effect
exploitation
tactic
increasing
iterations.
simulation
results
show
that
highly
efficient
reaching
maximum
success
producing
smallest
under
various
feasible
threshold
settings.
When
compared
standard
Optimizer
(ARO),
Growth
(GO),
Ecosystem
(AEO),
Particle
Swarm
Optimization
(PSO),
improved
5.32%,
6.7%,
16.73%,
20.06%,
respectively.
Furthermore,
according
data,
outperforms
AEO,
GO,
ARO,
PSO
terms
at
δ=1.4
6.66%,
45.43%,
99%,
Language: Английский
Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems
Karthik Nagarajan,
No information about this author
Arul Rajagopalan,
No information about this author
Mohit Bajaj
No information about this author
et al.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 16, 2024
Researchers
are
increasingly
focusing
on
renewable
energy
due
to
its
high
reliability,
independence,
efficiency,
and
environmental
benefits.
This
paper
introduces
a
novel
multi-objective
framework
for
the
short-term
scheduling
of
microgrids
(MGs),
which
addresses
conflicting
objectives
minimizing
operating
expenses
reducing
pollution
emissions.
The
core
contribution
is
development
Chaotic
Self-Adaptive
Sine
Cosine
Algorithm
(CSASCA).
algorithm
generates
Pareto
optimal
solutions
simultaneously,
effectively
balancing
cost
reduction
emission
mitigation.
problem
formulated
as
complex
optimization
task
with
goals
protection.
To
enhance
decision-making
within
algorithm,
fuzzy
logic
incorporated.
performance
CSASCA
evaluated
across
three
scenarios:
(1)
PV
wind
units
at
full
power,
(2)
all
specified
limits
unrestricted
utility
power
exchange,
(3)
microgrid
operation
using
only
non-zero-emission
sources.
third
scenario
highlights
algorithm's
efficacy
in
challenging
context
not
covered
prior
research.
Simulation
results
from
these
scenarios
compared
traditional
(SCA)
other
recent
methods
test
examples.
innovation
lies
chaotic
self-adaptive
mechanisms,
significantly
performance.
integration
mechanisms
superior
cost,
emissions,
execution
time.
Specifically,
achieves
values
590.45
€ct
337.28
kg
emissions
first
scenario,
98.203
406.204
second
95.38
982.173
scenario.
Overall,
outperforms
SCA
by
offering
enhanced
exploration,
improved
convergence,
effective
constraint
handling,
reduced
parameter
sensitivity,
making
it
powerful
tool
solving
problems
like
scheduling.
Language: Английский
Advances in Artificial Rabbits Optimization: A Comprehensive Review
Ferzat Anka,
No information about this author
Nazim Agaoglu,
No information about this author
Sajjad Nematzadeh
No information about this author
et al.
Archives of Computational Methods in Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 7, 2024
Language: Английский
Hippopotamus based optimization for reliable and cost-effective designing of stand-alone hybrid renewable system for a remote area
Frontiers in Energy Research,
Journal Year:
2025,
Volume and Issue:
12
Published: Feb. 18, 2025
Energy
is
an
important
aspect
of
a
country’s
long-term
growth,
and
to
meet
the
increasing
electrical
demand
for
reliable
manner,
there
urge
plan
future
generations.
In
this
study,
metaheuristic
optimization
approaches
that
have
recently
been
constructed,
which
include
coati
algorithm
hippopotamus
optimization,
were
applied
determine
perfect
dimensions
grid-independent
composite
renewable
energy
infrastructure.
The
problem
attempts
reduce
total
annual
cost
system
while
maintaining
reliability
loss
power
supply
probability
in
acceptable
range.
Three
combinations
hybrid
systems
designed
optimized,
findings
point
out
consisting
photovoltaic
module,
wind
turbine,
storage
battery,
battery
most
cost-effective
optimal
system.
lowest
PV/WT/SB/DG
obtained
by
using
HOA
$24473,
followed
PV/WT/DG
at
$
26270
PV/SB/DG
$35848.
Also,
outcomes
proposed
contrasted
with
those
HOMER
platform.
When
contrasting
effectiveness
methods,
solution
resolving
sizing
issue
since
it
offers
effective
compromise
among
robustness,
accuracy,
convergence
rate.
Language: Английский
Investigating the effect of various types of components in optimal designing of a solar/wind/storage hybrid system
Kamyar Ghanbari,
No information about this author
Akbar Maleki,
No information about this author
Dariush Rezaei Ochbelagh
No information about this author
et al.
Journal of Energy Storage,
Journal Year:
2025,
Volume and Issue:
110, P. 115273 - 115273
Published: Jan. 9, 2025
Language: Английский
A Novel Hybrid Optimization Algorithm for Performance Improvement of Distribution Network by Optimal Allocation of Distributed Generators
J. P. Srivi,
No information about this author
K. Sriniv,
No information about this author
Jaisiva Selvaraj
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Abstract
Uncertainty
of
loading
in
distribution
system,
which
differs
over
time,
raises
difficulty
working
and
control
system.
Also,
increased
continuous
load
makes
the
system
work
nearby
limit.
The
increases
steadily
will
cause
more
power
losses,
least
voltages
regulation,
uncertainness,
secured
traditional
feedings
This
paper
contributes
enhancement
profile
voltage
transmission
systems,
reduces
fluctuation
loss.
Electrical
transfers
same
way
throughout
Radial
Distribution
Network
(RDN)
grid
stations
results
lower
continuity,
fluctuations
occur
significantly
also
loss
networks
even
with
higher
issue,
spite
mounting
DG
RDS
maintaining
profiles
using
networks.
meta-heuristic
optimization
algorithms
hold
major
place
determines
optimal
location
achieves
goal
research.
Here,
practical
networks,
single
objective
optimized
strategies
were
not
used
to
solve
systems
issues
several
types.
Therefore,
multi-objective
function
was
mentioned.
research
lies
investigating
along
assigning
locations
connecting
DG,
evaluation
configuration,
minimizes
thereby
improving
network
Gazelle
Optimization
+
Dwarf
Mongoose
(GOA
DMO)
algorithms.
standardized
IEEE
37-bus
Systems
(RDS)
as
testing
bus
execution
efficiency
techniques.
Illustrating
effectiveness
devised
algorithms,
outcomes
compared
methods.
Language: Английский
Transition towards net zero emissions : Integration of a PV/T system with a hydroelectric generator and the impact of demand-side management.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(17), P. e37099 - e37099
Published: Aug. 28, 2024
Language: Английский
Towards Decarbonizing Large-scale Industries: A Decision Support Framework for Optimizing Grid-connected PV-Battery Energy Systems Planning – Case Study of an OCP Mining Site, Morocco, North Africa
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(20), P. e39075 - e39075
Published: Oct. 1, 2024
Language: Английский