at - Automatisierungstechnik,
Journal Year:
2024,
Volume and Issue:
72(11), P. 1030 - 1040
Published: Nov. 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,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 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.
Energies,
Journal Year:
2025,
Volume and Issue:
18(9), P. 2384 - 2384
Published: May 7, 2025
The
growing
penetration
of
renewable
energy
sources
into
electricity
grids,
along
with
the
problems
linked
to
electrification
rural
areas,
has
drawn
more
attention
development
microgrids.
Their
Energy
Management
Systems
(EMSs)
can
be
based
on
evolutionary
optimization
algorithms
identify
efficient
scheduling
plans
and
improve
performance.
In
this
paper,
a
new
approach
(EAs)
is
designed,
implemented,
tested
real
microgrid
architecture
evaluate
its
effectiveness.
proposed
effectively
combines
heuristic
information
capabilities
EAs,
achieving
excellent
results
reasonable
computational
effort.
system
highly
flexible,
making
it
applicable
different
network
architectures
various
objective
functions.
work,
algorithm
directly
manages
System,
allowing
for
large
number
degrees
freedom
that
exploited
achieve
competitive
solutions.
This
method
was
compared
standard
approach,
an
average
improvement
11.87%
in
fuel
consumption
achieved.
After
analyzing
differences
between
solutions
obtained,
importance
features
introduced
demonstrated.
Energies,
Journal Year:
2024,
Volume and Issue:
17(16), P. 3990 - 3990
Published: Aug. 12, 2024
An
efficient
energy
management
system
(EMS)
enhances
microgrid
performance
in
terms
of
stability,
safety,
and
economy.
Traditional
centralized
or
decentralized
systems
are
unable
to
meet
the
increasing
demands
for
autonomous
decision-making,
privacy
protection,
global
optimization,
rapid
collaboration
simultaneously.
This
paper
proposes
a
hierarchical
multi-layer
EMS
microgrid,
comprising
supply
layer,
demand
neutral
scheduling
layer.
Additionally,
common
mathematical
optimization
methods
struggle
with
decision
problem
due
challenges
mechanism
modeling,
supply–demand
uncertainty,
high
real-time
autonomy
requirements.
Therefore,
an
improved
proximal
policy
(PPO)
approach
is
proposed
EMS.
Specifically,
centrally
managed
PPO
algorithm
utilized
determine
optimal
power
generation
strategy.
In
auction
market
established,
multi-agent
(MAPPO)
action-guidance-based
employed
each
consumer,
implement
individual
The
layer
interacts
other
layers,
manages
information,
protects
participant
privacy.
Numerical
results
validate
effectiveness
framework
PPO-based
methods.
