at - Automatisierungstechnik,
Год журнала:
2024,
Номер
72(11), С. 1030 - 1040
Опубликована: Ноя. 1, 2024
Abstract
As
greenhouse
gases
emissions
continue
to
rise,
society
is
actively
seeking
methods
reduce
them.
Microgrids
(MGs),
which
predominantly
consist
of
renewable
energy
sources,
play
a
significant
role
in
achieving
this
objective.
This
paper
proposes
an
optimized
methodology
for
power
dispatch
MGs
using
mixed-integer
linear
programming
(MILP).
The
include
photovoltaic
systems,
wind
turbines,
biogas
(BG)
generators,
battery
storage
systems
(BESS),
electric
vehicles
(EV),
and
loads.
model
features
objective
function
focused
on
cost
minimization,
balance,
the
necessary
limits
constraints
system’s
safe
operation.
Real-time
pricing
employed
transactions
between
main
grid.
results
demonstrate
cost-efficient
operation
proposed
system
comprising
two
During
periods
negative
demand
was
met
by
discharging
BESS,
EV’s
battery,
or
purchasing
from
BESS
charged
when
prices
were
low
discharged
during
peak
high
prices.
intermittent
nature
sources
necessitates
efficient
management
ensure
reliable
Additionally,
help
mitigate
variability
generation.
BG
generator
another
crucial
component
supply
due
its
flexibility.
Integrating
these
components
into
improved
reliability
ensured
secure
balanced
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 5, 2025
Abstract
A
hybrid
microgrid
powered
by
hydrogen
is
an
energy
infrastructure
that
depends
on
as
its
primary
carrier
within
a
localized
network.
This
study
proposed
novel
bi-level
optimization
approach
to
enhance
power
quality
and
cost
efficiency
of
the
system.
In
quest
improve
management
systems
(EMS)
quality,
named
Particle
swarm
optimization-Modified
water
wave
(PSO-MWWO)
has
been
proposed.
method
integrates
adaptive
population
size
wavelength
coefficient
boost
overall
effectiveness.
It
attractive
with
specialists
in
(EMS),
control
systems,
technologies
can
significantly
augment
coordination
endeavours.
PSO-MWWO
incorporate
environmental
considerations,
such
minimizing
emissions
or
exploiting
use
renewable
resources
(RESs)
production
consumption.
paper
thoroughly
examines
implementation,
operation,
unique
features,
particular
emphasis
based
microgrid.
The
achieved
results
numerical
analysis
affirm
superiority
technique
compared
other
traditional
methods
like
mixed
integer
linear
programming
(MILP),
HOMER,
Variable
mesh
(VMO),
Cataclysmic
genetic
algorithm
optimizing
component
sizing,
production,
reliability,
effective,
efficacy.
substantiates
practical
utility
real-time
applications.
efficacy
this
empirically
demonstrated
through
implementation
MATLAB
software.
Applied Sciences,
Год журнала:
2024,
Номер
14(22), С. 10479 - 10479
Опубликована: Ноя. 14, 2024
This
article
comprehensively
reviews
strategies
for
optimal
microgrid
planning,
focusing
on
integrating
renewable
energy
sources.
The
study
explores
heuristic,
mathematical,
and
hybrid
methods
sizing
optimization-based
management
approaches,
addressing
the
need
detailed
planning
seamless
integration
between
these
stages.
Key
findings
emphasize
importance
of
to
minimize
costs
reduce
carbon
dioxide
(CO2)
emissions
while
ensuring
system
reliability.
In
a
pedagogical
manner,
this
review
highlights
integrated
methodologies
that
simultaneously
address
potential
emerging
technologies,
such
as
smart
grids
electric
vehicles,
enhance
efficiency
sustainability.
outlines
accurate
load
modeling
carefully
selecting
models
sources
storage
systems,
including
degradation
models,
achieve
long-term
operational
sustainability
in
design
operation.
Future
research
should
focus
developing
multi-objective
optimization
techniques
incorporating
cutting-edge
technologies
improved