Advances in business information systems and analytics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 119 - 148
Published: Nov. 29, 2024
This
chapter
explores
the
convergence
of
sustainability,
intelligent
methods,
and
smart
grids
as
a
solution
to
escalating
energy
demands
environmental
concerns
21st
century.
It
investigates
how
grids,
empowered
by
machine
learning,
artificial
intelligence,
other
advanced
techniques,
can
create
more
efficient
environmentally
friendly
ecosystem.
Key
applications
in
load
forecasting,
demand
management,
renewable
integration,
grid
optimization
are
examined.
The
acknowledges
challenges
like
resource
intensity
data
privacy,
advocating
for
robust
regulations
responsible
development
ensure
equitable
access
benefits.
Ultimately,
it
presents
comprehensive
analysis
this
synergy,
aiming
equip
readers
with
knowledge
navigate
complexities
landscape
build
sustainable
future.
IEEE Transactions on Power Electronics,
Journal Year:
2024,
Volume and Issue:
39(8), P. 10204 - 10215
Published: May 8, 2024
The
increasing
installation
of
renewable
energy
sources
(RES)
has
led
to
a
growing
storage
demand
in
the
grid.
high
cost
batteries
and
potential
environmental
impact
used
cannot
be
ignored.
Electric
spring
(ES),
as
side
management
(DSM)
technique,
can
effectively
reduce
by
utilizing
allowable
power
fluctuation
range
non-critical
load
(NCL).
Among
existing
ESs,
second
version
ES
(ES-2)
compensate
both
active
reactive
received
most
attention.
However,
researches
on
ES-2
basically
do
not
consider
limitation
NCL,
which
may
result
NCL
voltage
exceeding
insufficient
reduction
demand.
To
solve
this
problem,
angle
control
strategy
for
is
proposed
paper.
This
ensures
within
controlling
between
critical
(CL)
real
time.
Meanwhile,
fully
utilized
minimize
battery
capacity.
Finally,
effectiveness
verified
simulation
experiment.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(15), P. e35181 - e35181
Published: July 26, 2024
As
the
utilization
of
renewable
energy
sources
continues
to
expand,
storage
systems
assume
a
crucial
role
in
enabling
effective
integration
and
energy.
This
underscores
their
fundamental
significance
mitigating
inherent
intermittency
variability
associated
with
sources.
study
focuses
on
involvement
photovoltaic
(PV)
plants
medium
long-term
transactions.
It
also
explores
participation
battery
system
(BESS)
electricity
trading
frequency
regulation
ancillary
services.
The
objective
is
establish
strategic
research
model
for
maximizing
benefits
PV
plant
BESS
arbitrage
markets.
Sensitivity
analysis
was
conducted
assess
impact
variations
both
rated
power
maximum
continuous
duration
BESS.
Base
NSGA-II
algorithm
TOPSIS
algorithm,
an
optimization
capacity
configuration
developed.
optimal
are
determined
through
computational
analysis,
yielding
values
30.8
MW
4.521
h,
respectively.
At
this
configuration,
daily
average
revenue
2.362
×
10
IntechOpen eBooks,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 19, 2024
Grid-connected
residential
rooftop
photovoltaic
systems
with
battery
energy
storage
are
being
progressively
utilized
across
the
globe
to
enhance
grid
stability
and
provide
sustainable
electricity
supplies.
Battery
regarded
as
a
promising
solution
for
overcoming
solar
intermittency
and,
simultaneously,
may
reduce
expenditure
by
minimizing
exports
or
maximizing
self-consumption
households.
This
chapter
aims
assess
feasibility
of
six
lithium-ion
lead-acid
batteries
different
capacities
connected
grid-connected
system
dwelling
situated
in
north-western
part
Romania.
The
results
pointed
out
that
most
viable
option
is
combined
16.8
kWh
battery,
generating
an
additional
value
almost
$18,000
USD
over
investment’s
lifetime.
important
decision-making
information
regards
viability
technologies.
Advances in business information systems and analytics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 119 - 148
Published: Nov. 29, 2024
This
chapter
explores
the
convergence
of
sustainability,
intelligent
methods,
and
smart
grids
as
a
solution
to
escalating
energy
demands
environmental
concerns
21st
century.
It
investigates
how
grids,
empowered
by
machine
learning,
artificial
intelligence,
other
advanced
techniques,
can
create
more
efficient
environmentally
friendly
ecosystem.
Key
applications
in
load
forecasting,
demand
management,
renewable
integration,
grid
optimization
are
examined.
The
acknowledges
challenges
like
resource
intensity
data
privacy,
advocating
for
robust
regulations
responsible
development
ensure
equitable
access
benefits.
Ultimately,
it
presents
comprehensive
analysis
this
synergy,
aiming
equip
readers
with
knowledge
navigate
complexities
landscape
build
sustainable
future.
