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:
2024,
Volume and Issue:
12, P. 46741 - 46763
Published: Jan. 1, 2024
The
widespread
use
of
fossil
fuels
in
transportation
has
resulted
significant
carbon
dioxide
emissions
and
increased
reliance
on
non-renewable
energy
sources.To
address
these
environmental
challenges,
the
electrification
systems
through
Electric
Vehicles
(EVs)
emerged
as
a
promising
solution.However,
successful
deployment
EVs
hinges
availability
robust
charging
infrastructure
capable
meeting
demands
extending
driving
range
EVs.Nonetheless,
large-scale
EV
presents
several
including
ability
electric
grid
to
supply
required
accommodate
demand.Moreover,
determining
optimal
locations
for
fast-charging
stations
(FCS)
traffic
network
ensure
accessibility,
convenience,
efficient
resource
utilization
poses
challenge.As
result,
numerous
studies
have
investigated
allocation
sizing
infrastructure.The
primary
objective
this
research
is
conduct
comprehensive
literature
review
examine
how
optimization
problem
been
addressed
over
past
decade.The
aims
identify
key
factors
considered
formulation
techniques
allocating
stations.To
achieve
goal,
systematic
was
conducted
following
PRISMA
methodology
unbiased
approach.This
contributes
existing
by
highlighting
critical
gaps
proposing
framework
that
can
possibly
bridge
gaps.The
identifies
current
research,
including:
1)
Transportation-focused
largely
ignore
electrical
constraints;
2)
Electrical-focused
often
relies
statistically
modeled
demand,
which
may
include
some
geographical
assumptions;
3)
Multidisciplinary
approaches
integrating
both
networks
are
still
early
stage;
4)
Dynamic
flow
rarely
considered;
5)
Exact
methods
rely
linearized
or
approximated
models;
6)
Dominance
approximate
modeling,
primarily
relying
evolutionary
algorithms;
7)
Hybrid
mainly
utilized
solve
specific
part
rather
than
enhancing
quality
solution.In
response
gaps,
proposes
novel
integrate
planning
process,
offering
holistic
practical
solution
FCS
development.
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 363 - 363
Published: Jan. 16, 2025
In
this
work,
a
comprehensive
planning
framework
for
an
electric
vehicle
charging
ecosystem
(EVCE)
is
developed,
incorporating
solar
distributed
generation
(DG)
and
distribution
static
compensator
(DSTATCOM),
to
assess
their
long-term
techno–economic
environmental
impacts.
The
optimal
locations
capacities
of
the
EVCE,
DG,
DSTATCOM
are
determined
using
improved
particle
swarm
optimization
algorithm
based
on
success
rate
technique.
study
aims
maximize
technical,
financial,
social
benefits
while
ensuring
that
all
security
constraints
met.
To
financial
viability
proposed
model
over
10-year
horizon,
detailed
economic
analysis
comprising
installation
cost,
operation,
maintenance
cost
conducted.
make
more
realistic,
various
practical
parameters,
such
as
inflation
interest
rate,
incorporated
during
analysis.
Additionally,
highlight
societal
approach,
quantifies
carbon
emissions
corresponding
emissions.
tested
both
33-bus
network
108-bus
Indian
network.
Various
scenarios
explored,
with
different
configurations
solar-based
DSTATCOM,
assist
power
system
planners
in
selecting
most
suitable
strategy.
