International Transactions on Electrical Energy Systems,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Nowadays,
as
the
demand
for
plug‐in
electric
vehicles
in
microgrids
is
growing,
there
are
various
challenges
that
network
must
face,
including
providing
adequate
electricity,
addressing
environmental
concerns,
and
rescheduling
microgrid.
In
order
to
overcome
these
challenges,
this
paper
introduces
a
novel
multiobjective
optimization
model
where
first
objective
minimize
total
operation
cost
of
microgrid
second
maximize
reliability
index
by
reducing
amount
system
energy
not
supplied.
Because
two
compromising
objectives,
evolutionary
seagull
algorithm
utilized
find
best
local
solutions.
regard,
integrated
response
programs
used
smooth
distribution
locational
marginal
pricing.
Furthermore,
effect
system’s
configurations
analyzed
suggested
method
prices
comparison
initial
case.
Two
case
studies
modified
IEEE
33‐bus
69‐bus
networks
applied
evaluate
efficiency
proposed
approach.
Electricity,
Journal Year:
2025,
Volume and Issue:
6(1), P. 3 - 3
Published: Jan. 20, 2025
To
enhance
the
utilization
of
emerging
energy
sources,
application
battery
storage
systems
(BESSs)
was
increasingly
explored
by
investors.
However,
immature
development
BESS
technologies
introduced
supply–demand
imbalances,
complicating
establishment
standardized
cost
analysis
frameworks
for
potential
investments.
address
this
challenge,
a
hybrid
optimization
model
user-side
developed
to
maximize
total
net
returns
over
system’s
entire
life
cycle.
The
accounted
factors
such
as
arbitrage
revenue,
government
tariff
subsidies,
reductions
in
electricity
transmission
fees,
delays
grid
upgrades,
and
overall
cycle
costs.
Conditional
value-at-risk
(CVaR)
employed
risk
assessment
metric
provide
investment
allocation
recommendations
across
various
scenarios.
An
example
conducted
allocate
evaluate
different
types.
results
demonstrated
that
identified
optimal
strategies
aligned
with
investors’
preferences,
enabling
informed
decision-making
balanced
operational
stability.
This
approach
enhanced
resilience
economic
viability
configurations.
