Energies,
Journal Year:
2023,
Volume and Issue:
16(12), P. 4678 - 4678
Published: June 13, 2023
On
28
February–2
March
2023,
the
2023
States
General
of
Artificial
Intelligence
(AI)
event
was
held
in
Italy
under
sponsorship
several
multinational
companies.
The
purpose
this
mainly
to
create
a
venue
for
allowing
international
protagonists
AI
discuss
and
confront
on
recent
trends
AI.
aim
paper
is
report
state
art
literature
most
control
engineering
artificial
intelligence
methods
managing
controlling
energy
networks
with
improved
efficiency
effectiveness.
More
detail,
best
authors’
knowledge,
scope
review
considered
specifically
limited
EV
charging,
cyber-physical
security,
predictive
maintenance.
These
application
scenarios
were
identified
above-mentioned
as
responsible
triggering
business
needs
currently
expressed
by
A
critical
discussion
relevant
methodological
approaches
experimental
setups
provided,
together
an
overview
future
research
directions.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 78299 - 78338
Published: Jan. 1, 2023
Modern
electrical
transportation
systems
require
eco-friendly
refueling
stations
worldwide.
This
has
attracted
the
interest
of
researchers
toward
a
feasible
optimal
solution
for
electric
vehicle
(EV)
charging
stations.
EV
can
be
simply
classified
as
Slow
(domestic
use),
Fast
and
Ultrafast
(commercial
use).
study
highlights
recent
advancements
in
commercial
DC
charging.
The
battery
voltage
varies
widely
from
36V
to
900V
according
EVs.
focuses
on
non-isolated
unidirectional
converters
off-board
Various
standards
references
fast
have
been
proposed.
Complete
is
changed
EVs,
which
are
charged
by
grid
supply
obtained
burning
natural
fuels,
contributing
environmental
concerns.
Sustainable
sustainable
energy
sources
will
make
future
completely
transportation.
research
gap
complete
transit
located
interfacing
first
step
towards
clean,
identifying
suitable
converter
bridging
this
locality.
A
simple
approach
made
identify
DC-DC
fast-charging
article
carefully
selected
topologies
derived
Boost,
SEPIC,
Cuk,
Luo,
Zeta
clean
applications.
detailed
components
count,
stress
controlled
uncontrolled
switches,
gain
obtained,
output
voltage,
power
rating
converters,
switching
frequency,
efficiency
issues
associated
with
presented.
outcome
presented
challenges
or
expectations
Transportation Research Part E Logistics and Transportation Review,
Journal Year:
2024,
Volume and Issue:
186, P. 103568 - 103568
Published: May 7, 2024
This
study
presents
a
hybrid
solution
for
the
charging
station
location-capacity
problem.
The
proposed
approach
simultaneously
determines
location
and
capacity
of
stations
(i.e.,
number
piles),
assigns
piles
to
electric
vehicles
based
on
their
level
charge.
problem
is
formulated
as
bi-objective
mixed-integer
nonlinear
programming
model
minimize
total
cost
establishing
together
with
average
customers'
waiting
time.
combines
queueing
theory
mathematical
modelling
estimate
A
deep
learning
algorithm
then
developed
enhance
precision
time
estimation.
Another
contribution
involving
neural
network
in
improving
NSGA-II
algorithm.
Numerical
experiments
are
conducted
Halifax,
Canada
assess
performance
framework.
results
demonstrate
strong
predictive
highlight
limitations
traditional
models
estimating
times
99.8%
improvement
computation
time,
well
accuracy
estimations
from
13%
1.6%
deviation).
Several
valuable
insights
obtained
improve
operational
such
achieving
significant
61.5%)
drop
across
by
modest
29.2%)
increase
initial
investments.
Also,
it
reveals
that
variability
service
rate
significantly
impacts
50%
causes
substantial
950.56%
surge
time).
findings
underscore
need
control
fluctuations
reduce
wait
boost
driver
satisfaction.
improved
shows
12.77%
Pareto
front
solutions.
Finally,
prioritization
strategy
could
compared
first-come-first-served
strategy.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(7), P. 5782 - 5782
Published: March 27, 2023
Electric
vehicles
(EVs)
are
proportionally
increasing
day-by-day
with
the
inclusion
of
upgraded
technology
toward
considered
zero
carbon
emission
efforts.
To
mitigate
greenhouse
gas
emissions
from
transportation
sector,
grid-to-vehicle
(G2V)
and
vehicle-to-grid
(V2G)
technologies
getting
significant
attention
nowadays.
EVs
equipped
modern
can
help
to
stabilize
power
grids
through
load-balancing
topology
during
peak
hours.
The
improvement
in
support
surroundings
numerous
ways,
such
as
grid
voltage
frequency
regulations,
harmonics
distortions,
accessible
solar
energy
implemented
grids,
load
stabilizations.
This
literature
review
analyzes
G2V
V2G
impacts
more
depth,
namely
opportunities,
improvements
strategies,
operation,
control,
issues,
new
adoptions.
paper
emphasizes
possibilities
bringing
advancements
EV
technology,
smooth
operations
between
EVs,
fast
bidirectional
charging
discharging
scopes,
control
structures,
benefits,
pitfalls,
challenges,
recommendations.
Mathematics,
Journal Year:
2023,
Volume and Issue:
11(15), P. 3305 - 3305
Published: July 27, 2023
The
high
penetration
of
renewable
energy
resources’
(RESs)
and
electric
vehicles’
(EVs)
demands
to
power
systems
can
stress
the
network
reliability
due
their
stochastic
natures.
This
reduce
quality
in
addition
increasing
losses
voltage
deviations.
problem
be
solved
by
allocating
RESs
EV
fast
charging
stations
(FCSs)
suitable
locations
on
grid.
So,
this
paper
proposes
a
new
approach
using
red
kite
optimization
algorithm
(ROA)
for
integrating
FCSs
distribution
through
identifying
best
sizes
locations.
fitness
functions
considered
work
are:
reducing
loss
minimizing
violation
24
h.
Moreover,
version
multi-objective
(MOROA)
is
proposed
achieve
both
functions.
study
performed
two
standard
networks
IEEE-33
bus
IEEE-69
bus.
ROA
compared
dung
beetle
optimizer
(DBO),
African
vultures
(AVOA),
bald
eagle
search
(BES)
algorithm,
bonobo
(BO),
grey
wolf
(GWO),
multi-verse
(MOMVO),
(MOGWO),
artificial
hummingbird
(MOAHA).
For
network,
succeeded
deviation
58.24%
90.47%,
respectively,
while
it
minimized
68.39%
93.22%,
respectively.
fetched
results
proved
competence
robustness
solving
electrical
networks.
