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.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 51570 - 51589
Published: Jan. 1, 2024
The
increasing
popularity
and
number
of
electric
vehicles
(EVs)
globally
have
resulted
in
a
growing
demand
for
efficient,
reliable,
effective
vehicle
charging
station
(EVCS)
infrastructure.
However,
the
development
implementation
this
infrastructure
involves
various
challenges,
including
variety
EVs,
battery
technologies,
high
installation
costs,
limited
grid
capacity,
uncertainties
regarding
future
demand,
raises
issues
quality,
security,
stability
power
system.
This
paper
presents
holistic
understanding
mitigation
approaches,
available
technologies
protocols
related
to
EVCS
network
deployment.
Moreover,
optimization
strategies
such
as
location
planning,
integration,
scheduling
time,
planning
price,
which
involve
maximizing
utilization
stations
minimizing
associated
their
modeling
techniques
are
highlighted.
review
aims
provide
insights
develop
sustainable,
efficient
while
overcoming
challenges
optimizing
benefits.
International Journal of Energy Research,
Journal Year:
2024,
Volume and Issue:
2024, P. 1 - 14
Published: April 3, 2024
Because
of
the
fluctuating
demands
for
electricity
and
growing
awareness
need
to
protect
environment
from
global
warming
depletion
nonrenewable
natural
resources,
battery-powered
electric
vehicles,
or
EVs,
are
being
used
in
transportation
sector
as
an
alternative
internal
combustion
engine
vehicles.
However,
charging
these
EVs
with
conventional
fossil
fuels
is
neither
economically
sustainable
nor
structurally
viable.
Therefore,
this
manuscript
proposes
a
renewable
energy-powered
EV
station
featuring
combination
solar
energy,
standby
battery
systems,
sophisticated
control
techniques
such
neural
network-integrated
grids,
enhanced
Cuckoo
Search
Algorithm
Maximum
Power
Point
Tracking,
Proportional-Integral-Derivative
controller.
This
idea
beats
current
methods
presents
viable
way
drive
revolution
while
lessening
environmental
effects.
It
maximizes
energy
management
guarantees
steady
power
supply
even
erratic
weather.
Grid
integration
ensures
consistency
supplies
at
terminals.
When
compared
other
algorithms
that
have
been
investigated
literature,
designed
algorithm
exhibits
excellent
performance.
integration,
addition
battery,
essential
ensuring
has
constant
supply,
during
unpredictable
Regional Sustainability,
Journal Year:
2022,
Volume and Issue:
3(4), P. 335 - 345
Published: Dec. 1, 2022
The
challenge
to
deal
with
environmental
contamination
along
national
goals
such
as
energy
security,
reliability,
and
self-dependency
due
depleting
fossil
fuel
resources
has
motivated
researchers
find
an
alternate
solution
in
the
transport
sector.
Due
this,
electrification
of
sector
become
achievable
that
caught
attention
increasing
penetration
market
share.
India
is
a
participant
Paris
Agreement
which
aims
curtail
production
greenhouse
gases
limit
escalating
temperature.
Public
intervention
changes
policy
regulations
are
key
aspects
this
technological
transition.
Compared
internal
combustion
engine
(ICE)
engine-based
vehicles,
consumers'
frame
mind
concerns
about
adapting
e-mobility
anxiety
over
charging
times
driving
range.
Thus,
development
stations
plays
crucial
role
promoting
electric
vehicles
(EVs).
This
study
investigates
identify
different
barriers
exist
Indian
context
related
adoption
e-mobility.
Furthermore,
work
emphasizes
recent
developments
infrastructure
planning
India.
Also,
status
installed
examined.
Developing
appropriate
associated
several
challenges
also
highlighted
provide
guidance
public
private
entities
can
be
adopted
their
respective
business
model.
low
EV
rate
considerably
compared
other
countries
having
second
largest
population
seventh
country;
there
long
path
match
growth
rate.
Hence
it
becomes
essential
develop
robust
suitable
promote
sale
use
EVs
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.