Journal of Energy Storage,
Journal Year:
2024,
Volume and Issue:
92, P. 112151 - 112151
Published: May 24, 2024
The
emergence
of
electric
vehicles
is
reshaping
the
energy
landscape,
requiring
development
innovative
integration
mechanisms
to
engage
prosumers.
However,
current
methods
face
numerous
challenges
when
actively
involving
communities.
Some
key
include
system
uncertainties
and
time
issues,
optimizing
charging
strategies,
real-time
decision-making
needs,
privacy
concerns,
battery
degradation.
For
instance,
unpredictability
driver
behavior
traffic
conditions
introduces
complexities
in
devising
efficient
strategies
economic
incentive
models.
intricate
interplay
these
factors
necessitates
advanced
computational
techniques,
making
machine
learning
an
invaluable
tool.
This
paper
concisely
reviews
prominent
algorithms,
encompassing
supervised
unsupervised
learning,
focusing
on
their
distinctive
capabilities
prediction,
clustering,
dimensionality
reduction,
generative
modeling.
Additionally,
it
explores
reinforcement
emphasizing
its
aptitude
for
decision-making.
focus
study
lies
application
specifically
examining
effectiveness
various
strategic
operational
frameworks.
aim
integrate
into
power
systems
efficiently.
These
frameworks
bargaining,
contracts,
auctions,
game
theory,
incentives
such
as
pricing
cost-profit
optimization.
Each
includes
a
concise
overview
general
methodology
investigates
in-depth
discussions
regarding
suitability
deploying
techniques.
will
guide
industry
professionals
implementing
solutions
vehicle
dispatching
problems
provide
valuable
insights
academics
further
research
development.
Green Energy and Intelligent Transportation,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100195 - 100195
Published: March 1, 2024
This
study
responds
to
global
climate
concerns
by
addressing
the
shift
towards
sustainable
transportation,
particularly
electric
vehicles.
Focusing
on
wireless
power
transfer
overcome
charging
infrastructure
challenges,
research
optimizes
circular
coils
for
inductive
in
cars.
Utilizing
ferrite
cores
enhance
performance,
employs
ANSYS
Electronics
Suite
R2-202
and
finite
element
method
analyze
coils,
exploring
variations
turns,
inner
radius,
air
gap,
misalignment's
impact
coupling
coefficient.
Introducing
plan
boxes,
finds
that
boxes
improve
efficiency
50%
electromagnetic
field
strength
300%,
concentrating
toward
center.
An
inequivalent
design,
enlarging
primary
coil,
demonstrates
significant
enhancements,
achieving
a
coefficient
increase
of
0.183447
an
rise
0.00040
Tesla.
Equivalent
with
meet
95%
goal
strong,
narrowed
at
lower
cost,
while
excel
strengthening
centralizing
field,
enhancing
misalignment
tolerance
distinctive
ways.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 64897 - 64912
Published: Jan. 1, 2024
The
integration
of
renewable
energy
sources
(RES)
and
electric
vehicles
(EVs)
into
microgrids
(MGs)
has
significant
potential
for
enhancing
resilience,
addressing
environmental
concerns,
promoting
decentralized
systems
as
a
global
shift
towards
sustainable
solutions.
Therefore,
this
survey
paper
provides
comprehensive
discussion
on
improving
MG
operation
through
EV
integration.
This
study
evaluates
the
status
MGs,
focusing
technological
advancements,
emerging
trends,
while
pinpointing
key
technical
challenges
opportunities.
Furthermore,
examines
pivotal
role
EVs
in
participating
vehicle-to-grid
(V2G)
services,
providing
ancillary
support
to
improve
performance.
importance
reliable
communication
infrastructure
information
exchange
between
EV,
charging
stations
(EVCSs),
been
emphasized
effective
implementation
V2G
services.
extends
contributions
primary,
secondary,
tertiary
controls.
also
analyzes
AC
DC
MGs
further
proposes
configurations
both
cases.
Finally,
concludes
by
recommendations
future
research
unlock
full
performance,
thereby
contributing
ongoing
advancement
resilient
systems.
findings
work
include
solutions
voltage
frequency
regulation
implemented
bidirectional
converter
power
flow
control,
charger
DC,
MG's
operational
resilience
adaptability,
noteworthy
arising
from
such
Renewable Energy,
Journal Year:
2024,
Volume and Issue:
230, P. 120823 - 120823
Published: June 15, 2024
This
paper
introduces
a
novel
hierarchical
architecture
aimed
at
enhancing
coordination
between
distribution
system
operators
and
electric
vehicle
aggregators
in
order
to
minimize
Electric
Vehicle
(EV)
charging
costs
for
users
while
optimizing
EV
hosting
capacity
alleviate
network
congestion.
Real-world
networks
are
employed
evaluate
strategies
their
impact
on
medium
low-voltage
networks.
Two
distinct
optimization
proposed
ensure
fair
power
allocation
among
Aggregators
(EVAs),
alleviating
congestion
managing
efficiently.
Results
demonstrate
that
the
collaborative
effectively
flattens
load
curve,
reducing
peak
avoiding
grid
The
main
findings
underscore
importance
of
incentivizing
flexibility
support
Distribution
System
Operator
(DSO)
objectives
beyond
static
tariffs.
Furthermore,
battery
degradation
model
is
introduced
into
problem,
high
currents
decay.
Despite
capturing
higher
mean
electricity
price,
total
cost
reduced.
