Testing
and
operating
microgrid
systems
can
be
time-consuming
expensive
in
labs.
To
address
these
challenges,
this
paper
deals
with
a
physical-based
model
digital
twin
of
prosumer
within
an
existing
lab,
emulating
house
photovoltaic
(PV)
production.
For
purpose,
models
are
adopted
over
data-driven
due
to
their
accuracy,
robustness,
interpretability,
flexibility
for
scenario
exploration
control
design.
The
provides
overview
the
system
details
modeling
system,
including
power
circuits.
implementation
using
hardware-in-the-loop
(HIL)
real-time
on
Opal-RT
hardware
platform
is
described.
Simulation
results
validate
effectiveness
mathematical
replicating
behavior
system.
Future
research
directions
include
expanding
incorporate
other
components
investigating
advanced
strategies.
Energies,
Journal Year:
2024,
Volume and Issue:
17(3), P. 715 - 715
Published: Feb. 2, 2024
The
increasing
impact
of
climate
change
and
rising
occurrences
natural
disasters
pose
substantial
threats
to
power
systems.
Strengthening
resilience
against
these
low-probability,
high-impact
events
is
crucial.
proposition
reconfiguring
traditional
systems
into
advanced
networked
microgrids
(NMGs)
emerges
as
a
promising
solution.
Consequently,
growing
body
research
has
focused
on
NMG-based
techniques
achieve
more
resilient
system.
This
paper
provides
an
updated,
comprehensive
review
the
literature,
particularly
emphasizing
two
main
categories:
microgrids’
configuration
control.
study
explores
key
facets
NMG
configurations,
covering
formation,
distribution,
operational
considerations.
Additionally,
it
delves
control
features,
examining
their
architecture,
modes,
schemes.
Each
aspect
reviewed
based
problem
modeling/formulation,
constraints,
objectives.
examines
findings
highlights
gaps,
focusing
elements
such
frequency
voltage
stability,
reliability,
costs
associated
with
remote
switches
communication
technologies,
overall
network.
On
that
basis,
unified
problem-solving
approach
addressing
both
aspects
stable
reliable
NMGs
proposed.
article
concludes
by
outlining
potential
future
trends,
offering
valuable
insights
for
researchers
in
field.
Energies,
Journal Year:
2023,
Volume and Issue:
16(24), P. 8057 - 8057
Published: Dec. 14, 2023
This
review
paper
provides
a
summary
of
methods
in
which
artificial
intelligence
(AI)
techniques
have
been
applied
the
management
variable
renewable
energy
(VRE)
systems,
and
an
outlook
to
future
directions
research
field.
The
VRE
types
included
are
namely
solar,
wind
marine
varieties.
AI
techniques,
particularly
machine
learning
(ML),
gained
traction
as
result
data
explosion,
offer
method
for
integration
multimodal
more
accurate
forecasting
applications.
aspects
include
optimized
power
generation
into
grids,
including
demand
forecasting,
storage,
system
optimization,
performance
monitoring,
cost
management.
Future
applications
proposed
discussed,
issue
availability,
quality,
addition
explainable
(XAI),
quantum
(QAI),
coupling
with
emerging
digital
twins
technology,
natural
language
processing.
Cleaner Energy Systems,
Journal Year:
2024,
Volume and Issue:
8, P. 100110 - 100110
Published: Feb. 29, 2024
The
prosumers
are
the
new
performers
progressing
towards
a
low-carbon
future.
Renewable-based
power
generation
is
essential,
even
in
rural
areas,
to
pave
path
toward
sustainable
development.
This
study
establishes
simulation
model
for
two
identical
residential
buildings
assess
prosumer's
impact
on
future
local
(standalone)
energy
systems.
According
climate
condition
of
Pakistan,
technical,
economic,
and
environmental
performance
standalone
system
evaluated
using
TRNSYS
software.
Assumptions
modeling
different
components,
photovoltaic
(PV)
panels,
batteries
also
discussed.
provides
starting
point
real-time
framework
trade
between
houses
connected
with
common
microgrid.
Both
medium-sized
family
almost
electricity
demands.
One
house
has
PV
mounted
rooftop,
battery
as
an
optimal
storage
option.
Attention
given
peak
demand
management
surplus
during
enough
production
hours.
A
dynamic
approach
proposed
based
blockchain.
Simulation
results
show
that
implementation
trading
at
household
level
facilitates
achieving
dual
benefits
reducing
consumer
costs
maximizing
self-consumption.
IEEE Open Journal of Power Electronics,
Journal Year:
2024,
Volume and Issue:
5, P. 1045 - 1058
Published: Jan. 1, 2024
The
integration
of
Digital
Twin
(DT)
technology
into
the
photovoltaic
(PV)
sector
represents
a
significant
advancement
in
energy
management,
optimization,
servicing,
and
maintenance.
This
comprehensive
literature
review
aims
to
enhance
understanding,
categorization,
adoption
DT
data
fusion
technologies
within
PV
industry
guide
future
research
endeavors.
categorizes
models
three
types:
digital
models,
shadows,
twins,
based
on
their
connection
attributes.
It
recognizes
as
critical
enabling
for
development
complex
proposes
framework
integrating
with
systems.
A
detailed
examination
prevalent
modeling
methodologies
is
conducted
delineate
advantages
limitations,
serving
valuable
resource
practitioners.
paper
concludes
that
shadows
are
effective
initial
system
forecast
monitoring,
while
fully
integrated
offer
advantages,
including
real-time
analysis,
predictive
capabilities,
active
optimization.
However,
implementing
maintaining
require
advanced
analytics,
high
computational
costs,
robust
security,
presenting
important
challenges
be
addressed
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8663 - 8663
Published: Oct. 7, 2024
To
date,
a
plethora
of
research
has
been
published
investigating
the
value
using
Digital
Twin
(DT)
technology
in
construction
industry.
However,
contribution
DT
to
promoting
social
sustainability
industry
largely
unexplored.
Therefore,
current
paper
aims
address
this
gap
by
exploring
untapped
potential
advancing
within
end,
comprehensive
systematic
literature
review
was
conducted,
which
identified
298
relevant
studies.
These
studies
were
subsequently
analysed
with
respect
their
use
supporting
sustainability.
The
findings
indicated
that
contributed
8
17
UN
Sustainable
Development
Goals
(SDGs),
strong
focus
on
SDG11
(77
publications),
followed
SDG3
and
SDG9,
58
48
studies,
respectively,
focusing
health
well-being
fostering
resilient
infrastructure
innovation.
Other
contributions
for
SDG13
(30
studies),
SDG7
(27
SDG12
(26
SDG4
(21
SDG6
(11
covering
areas
such
as
climate
action,
responsible
consumption,
affordable
energy,
quality
education,
clean
water
sanitation.
This
also
proposes
future
directions
further
enhance
include
(i)
enhancing
inclusivity
diversity,
(ii)
workforce
safety
well-being,
(iii)
training
skill
development,
(iv)
policy
regulatory
support,
(v)
cross-disciplinary
collaboration.
Optimal Control Applications and Methods,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 29, 2025
ABSTRACT
The
combination
of
micro‐grid
energy
management
systems
(EMSs)
with
the
Internet
Things
(IoT)
offers
a
promising
way
to
improve
use
and
distribution.
However,
challenges
such
as
device
compatibility
difficulty
managing
efficiently
make
it
hard
implement
these
effectively.
This
study
significant
advancement
in
by
using
IoT
for
microgrid
systems.
An
Optimized
Multi‐scale
Attention
Convolutional
Neural
Network
EMS
employing
(OMACNN‐MGEMS‐IoT)
is
proposed
this
study,
which
enables
efficient
monitoring
control
resources.
model's
input
data
are
gathered
from
MQTT
dataset.
research
employs
Regularized
Bias‐aware
Ensemble
Kalman
Filter
(RBAEKF)
pre‐processing
data,
ensuring
removal
outliers
updating
missing
values.
MACNN
then
used
effective
fault
detection
within
microgrid.
To
enhance
its
performance,
Sheep
Flock
Optimization
Algorithm
(SFOA)
introduced
optimize
parameters,
accurate
detection.
Implemented
on
MATLAB
platform,
performance
OMACNN‐MGEMS‐IoT
method
assessed
through
various
metrics,
demonstrating
improvements.
Notably,
achieves
higher
cost
reductions
25%,
22%,
26%
compared
existing
approaches
platform
multi‐micro
grid
(IoT‐PEM‐MMS),
system
infrastructure
implementing
buildings
(MSII‐IoT‐EEM)
hybrid
deep
learning‐based
online
scheme
industrial
microgrids
(HDL‐OEM‐IM).
findings
highlight
impact
enhancing
efficiency
cost‐effectiveness
IEEE Security & Privacy,
Journal Year:
2023,
Volume and Issue:
21(4), P. 74 - 83
Published: March 8, 2023
Faced
with
the
threat
of
climate
change,
world
is
rapidly
adopting
electric
vehicles
(EVs);
however,
EV
ecosystem
vulnerable
to
cyberattacks.
In
this
article,
we
present
a
security-oriented
real-time
cosimulation
testbed
for
and
power
grid.
