Optimal Planning of Renewable Distributed Generators and Battery Energy Storage Systems in Reconfigurable Distribution Systems with Demand Response Program to Enhance Renewable Energy Penetration
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 104304 - 104304
Опубликована: Фев. 1, 2025
Язык: Английский
Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response
G. Y. Xiao,
Huan Liu,
Javad Nabatalizadeh
и другие.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 11, 2025
Язык: Английский
Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games
Energy,
Год журнала:
2025,
Номер
unknown, С. 135731 - 135731
Опубликована: Март 1, 2025
Язык: Английский
Comprehensive Review on Challenges of Integration of Renewable Energy Systems into Microgrid
Solar Energy and Sustainable Development,
Год журнала:
2025,
Номер
14(1), С. 199 - 236
Опубликована: Март 4, 2025
The
integration
of
renewable
energy
systems
(RES)
into
microgrids
faces
challenges
from
technical,
economic,
and
socio-environmental
perspectives.
Despite
their
potential
to
address
access
climate
change
challenges,
RES-based
face
significant
barriers,
including
technical
complexities,
economic
constraints,
socio-cultural
resistance,
regulatory
inadequacies,
environmental
concerns.
Some
the
issues,
like
intermittency
lack
compatibility
with
other
sources,
are
managed
by
management
(EMS)
integrated
battery
systems.
These
barriers
include
high
capital
investment
unpredictable
revenue
which
addressable
through
chosen
microgrid
architecture,
flexible
payment
structures,
tariffs.
Community
opposition
local
knowledge
overcome
employing
mitigation
measures
that
pertain
partaking
in
planning
processes
developing
training
programs.
gaps
addressed
use
standardized
policy
as
well
streamlined
permitting
procedures,
while
issues
application
life
cycle
assessment
(LCA)-based
solutions
environmentally
sustainable
materials.
Furthermore,
paper
addresses
more
recent
developments,
artificial
intelligence
(AI),
peer-to-peer
(P2P)
trading,
an
emphasis
on
improvement
prospects.
Finally,
implications
presented,
stressing
need
for
systemic
observed
tendencies.
This
systematically
reviews
multifaceted
integrating
RES
microgrids.
It
presents
innovative
solutions,
AI-driven
management,
modular
designs,
frameworks
enhance
efficiency,
reliability,
sustainability
a
scalable
transition.
review
provides
diverse
view
future
growth
several
insights
stakeholders
related
development
technology
making
transition
sustainable.
Язык: Английский
A Metaheuristic Approach to Analyze the Techno-Economical Impact of Energy Storage Systems on Grid-Connected Microgrid Systems Adapting Load-Shifting Policies
Processes,
Год журнала:
2024,
Номер
13(1), С. 65 - 65
Опубликована: Дек. 31, 2024
Battery
energy
storage
systems
(BESSs)
and
plug-in
hybrid
electric
vehicles
(PHEVs)
are
essential
for
microgrid
operations
to
be
financially
viable.
PHEVs
can
serve
as
mobile
devices,
storing
excess
during
times
of
low
demand
delivering
it
high
demand.
By
offering
reliable
on-site
storage,
BESSs
improve
cost
efficiency
by
allowing
the
store
cheap,
off-peak
electricity
release
when
prices
increase.
To
minimize
generation
costs
alleviate
grid
stress
periods
demand,
load-shifting
policies
shift
inelastic
loads
hours
lower.
When
combined,
these
tactics
support
dependable,
affordable,
effective
management.
A
recently
developed
RIME
algorithm
is
used
optimization
tool
reduce
total
operating
(TOC)
an
MG
system
three
cases
situations.
The
emphasize
a
modified
load
style
influenced
optimal
method
(OLSM)
order
characteristics
policy
(OCLSP),
whereas
situations
refer
inclusion
ESS
in
system.
TOC
decreased
from
$2624
without
$2611
$2331
with
BESSs,
respectively.
These
were
further
reduced
$1192,
$1162,
$1147,
respectively,
OLSM
was
implemented
restructure
base
Additionally,
balance
between
minimal
carbon
emission
obtained
OLSM-based
model
BESSs.
outperformed
many
algorithms
consistent
robust,
yielding
better
quality
solutions.
Язык: Английский
Optimal Energy Management of the Smart Microgrid Considering Uncertainty of Renewable Energy Sources and Demand Response Programs
Operations Research Forum,
Год журнала:
2025,
Номер
6(2)
Опубликована: Апрель 22, 2025
Язык: Английский
Data-Driven Hybrid SARIMAX-MLP Framework for Energy Consumption Prediction in Residential Micro-Grid
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 105336 - 105336
Опубликована: Май 1, 2025
Язык: Английский
ADPA Optimization for Real-Time Energy Management Using Deep Learning
Energies,
Год журнала:
2024,
Номер
17(19), С. 4821 - 4821
Опубликована: Сен. 26, 2024
The
current
generation
of
renewable
energy
remains
insufficient
to
meet
the
demands
users
within
network,
leading
necessity
curtailing
flexible
loads
and
underscoring
urgent
need
for
optimized
microgrid
management.
In
this
study,
deep
learning-based
Adaptive
Dynamic
Programming
Algorithm
(ADPA)
was
introduced
integrate
real-time
pricing
into
optimization
demand-side
management
microgrids.
This
approach
not
only
achieved
a
dynamic
balance
between
supply
demand,
along
with
peak
shaving
valley
filling,
but
it
also
enhanced
rationality
strategies,
thereby
ensuring
stable
operation.
Simulations
Real-Time
Electricity
Price
(REP)
model
under
response
conditions
validated
effectiveness
feasibility
in
Based
on
neural
network
model,
objective
function
merely
54
epochs,
suggesting
highly
efficient
computational
process.
Furthermore,
integration
REP
conformed
distributed
multi-source
power
scheduling
improved
efficiency
clean
utilization
significantly,
supporting
implementation
national
policies
aimed
at
development
sustainable
grid.
Язык: Английский