Energy Exploration & Exploitation,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 25, 2024
Integrating
renewable
energy
resources
into
electrical
distribution
networks
necessitates
using
battery
storage
systems
(BESSs)
to
manage
intermittent
generation,
enhance
grid
reliability,
and
prevent
reverse
power
flow.
Thus,
this
study
focuses
on
the
optimal
sizing
of
BESS
in
networks,
considering,
cost,
environmental
impact.
The
adapted
network
research
has
a
25
MVA/33
kV
capacity
with
7
MWp
photovoltaic
plants.
variability
sources
ampacity
limitations
are
analyzed
first.
After
that,
linear
optimization
approach
is
applied
minimize
system's
cost
subject
specific
grid's
reliability.
In
addition
life
cycle
assessment
that
evaluates
impacts
different
technologies
used
evaluate
options
BESSs.
Results
indicate
integrating
an
optimally
sized
significantly
improves
reduces
deficits,
lowers
operational
costs.
Moreover,
impact
reveals
Lithium
Iron
Phosphate
batteries
most
environmentally
friendly
option
due
their
high
moderate
efficiency.
concludes
size
for
120
Ah/33
kV,
loss
load
probability
1%
annual
savings
$0.367
million.
International Journal of Computational and Experimental Science and Engineering,
Journal Year:
2025,
Volume and Issue:
11(2)
Published: April 1, 2025
Optimizing
network
performance
and
resource
allocation
fairness
in
distributed
systems
requires
load
balancing
efficiency.
The
main
goal
is
to
design
deploy
Linear
Programming
(LP)
methods
Weighted
Server
Cluster
Load
Balancer
(WSCLB)
accomplish
this
goal.
These
reallocate
jobs
between
nodes
reduce
distribution
discrepancies,
avoiding
bottlenecks
boosting
system
performance.
purpose
balance
load,
so
each
node
runs
at
optimum
capacity,
lowering
latency
improving
resilience.
solution
uses
LP
optimize
WSCLB,
creating
a
more
robust
efficient
that
can
handle
variable
demand
without
deterioration.
study
emphasizes
mathematical
optimization's
role
current
balancing.
first
instance
of
Load_Distribution_Pre-Optimization
showed
5
levels
for
nodes.
In
level
1,
the
top
lower
values
are
93
15,
2,
87
21,
3,
88
24,
4,
75
10,
5,
89
44.
Load_Distribution_Post-Optimization
were
observed.
29,
96
72
49,
94
42,
91
14.
