Energies,
Journal Year:
2024,
Volume and Issue:
17(21), P. 5242 - 5242
Published: Oct. 22, 2024
As
the
scale
of
renewable
energy
sources
(RESs)
expands,
it
is
essential
to
optimize
configuration
wind,
solar,
and
storage
resources
across
different
areas.
Nevertheless,
unavoidable
uncertainties
associated
with
both
supply
demand
present
significant
challenges
for
planners.
This
study
aims
address
challenge
coordinated
planning
multiarea
wind-solar-energy
systems
considering
multiple
uncertainties.
First,
related
future
peak
demand,
thermal
generation
output
boundaries,
variability,
stochastic
unit
production
are
analyzed
modeled
on
basis
robust
optimization
programming
techniques.
Then,
a
hierarchical
model
that
incorporates
system-wide
(SW)
local
area
(LA)
models
proposed.
The
SW
designed
manage
optimal
capacity
RESs
(ESSs)
within
each
LA,
as
well
operational
boundary
LAs.
LA
aim
further
capacities
ESSs
minimize
economic
cost
resource
characteristics.
To
achieve
solution,
analytical
target
cascading
(ATC)
algorithm
integrated
column-and-constraint
(C&CG)
algorithm.
simulation
results
validate
effectiveness
reasonableness
proposed
model,
which
not
only
outperforms
independent
approaches
but
also
effectively
manages
Energies,
Journal Year:
2025,
Volume and Issue:
18(9), P. 2188 - 2188
Published: April 25, 2025
The
rapid
integration
of
renewable
energy
sources
and
the
increasing
complexity
demands
necessitate
advanced
strategies
for
optimizing
multi-region
systems.
This
study
investigates
coordinated
management
interconnected
parks
by
incorporating
wind
power,
demand
response
(DR)
mechanisms,
storage
A
comprehensive
optimization
framework
is
developed
to
enhance
sharing
among
parks,
leveraging
demand-side
flexibility
integration.
Simulation
results
demonstrate
that
proposed
approach
significantly
improves
system
efficiency
balancing
supply-demand
mismatches
reducing
reliance
on
external
power
sources.
Compared
conventional
methods,
DR
capabilities
industrial
commercial
loads
have
increased
8.08%
6.69%,
respectively,
which
primarily
due
enhanced
utilization
optimized
deployment.
inclusion
contributed
improved
flexibility,
enabling
a
more
resilient
exchange
framework.
highlights
potential
collaborative
in
multi-area
systems
provides
pathway
future
research
explore
control
algorithms
additional
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102819 - 102819
Published: Sept. 1, 2024
This
study
examines
the
effects
of
engine
compression
ratio,
load,
and
biofuel
composition
on
performance,
combustion,
emissions.
The
experimental
setup
includes
testing
different
ratios
(16,
17,
18)
loads
(25%,
50%,
75%
torque)
at
a
fixed
speed
1,500
rpm,
using
Thai
standard
diesel
as
control
fuel.
Biofuel
variations
tested
include
neat
biodiesel,
biokerosene,
blends
30%
biokerosene
with
70%
biodiesel
50%
biodiesel.
results
show
that
an
increased
ratio
enhances
combustion
efficiency,
reduces
brake
specific
fuel
consumption,
improves
thermal
although
it
also
leads
to
higher
nitrogen
oxide
Biofuels
improve
efficiency
due
their
oxygen
content.
However,
viscosity
can
hinder
atomization,
resulting
in
In
contrast,
by
facilitating
earlier
reducing
Performance
is
primarily
affected
while
emissions
are
influenced
both
content
load.
Gradient
boosting
models
optimization
techniques,
such
non-dominated
sorting
genetic
algorithm
III
(NSGA-III)
adaptive
geometry
estimation-based
multi-objective
evolutionary
algorithms
(AGE-MOEA),
produce
consistent
results,
AGE-MOEA
identifying
denser
optimal
points.
findings
suggest
ranging
from
20%
40%,
across
all
75%,
provide
valuable
insights
for
advancing
sustainable
utilization
practices
automotive
vehicles.
Ingenius,
Journal Year:
2024,
Volume and Issue:
31, P. 32 - 42
Published: Jan. 1, 2024
El
presente
trabajo
de
investigación
muestra
la
gestión
óptima
energía
una
microrred
aislada
basada
en
fuentes
renovable
no
convencional.
Para
lo
cual
se
plantea
un
problema
despacho
económico
que
busca
abastecer
demanda
eléctrica
al
menor
costo
operación
posible,
a
partir
optimización
lineal
entero
mixto.
La
linealidad
del
algoritmo
presenta
incluir
ecuación
característica
funcionamiento
real
grupo
electrógeno
el
modelo
optimización.
Los
datos
entrada
como
radiación
solar
y
velocidad
viento
fueron
obtenidos
plataforma
NASA
situada
sobre
isla
Santa
Cruz,
provincia
Galápagos,
Ecuador.
Además,
los
mediciones
reales
sector.
ha
resultado
para
12,
24
168
horas
respectivamente,
obteniendo
distribución
energética
proporcional
cada
caso
50.40
%
suministrada
por
generador
fotovoltaico,
23.92
diésel,
17.14
banco
baterías
5.53
eólico,
fue
abastecida
su
totalidad
cumpliendo
con
objetivo
intermitencias
sistema.
