Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 6, 2025
Abstract
To
improve
the
inadequate
reliability
of
grid
that
has
led
to
a
worsening
energy
crisis
and
environmental
issues,
comprehensive
research
on
new
clean
renewable
efficient,
cost-effective,
eco-friendly
management
technologies
is
essential.
This
requires
creation
advanced
systems
enhance
system
optimize
efficiency.
Demand-side
are
superior
solution
for
multiple
reasons.
Firstly,
they
empower
consumers
actively
oversee
regulate
their
consumption,
resulting
in
substantial
cost
savings
by
minimizing
usage
during
peak
hours
enhancing
overall
The
Demand
Response
Program
(DRP)
optimal
power
sharing
have
gained
significant
attention
provide
technical
economic
benefits,
while
require
an
efficient
operation
framework.
Therefore,
two-stage
framework
proposed
multi-objective
distribution
network
with
several
generation
resources.
first
stage
applies
DRP
maximize
operator’s
(DNO)
profit
optimizing
common
incentive
rate
all
participate
individual
curtailed
each
consumer.
In
addition
consumer
participates
which
field
demand
side
management.
second
achieves
among
resources,
considering
objectives
incorporating
modified
load
stage.
problem
formulated
reduce
losses,
voltage
deviation,
total
operational
cost,
gas
emissions,
stability
index.
optimized
using
combination
technique
order
preference
similarity
ideal
(TOPSIS)
elephant
herding
optimization
(EHO)
technique.
validated
IEEE
33-bus
incorporates
photovoltaic
system,
diesel
generators,
wind
system.
based
provides
response
compared
reduces
losses
38.13%,
9.468%,
emission
5.9%.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(4), P. 1062 - 1062
Published: Feb. 20, 2023
Optimization
methods
for
a
hybrid
microgrid
system
that
integrated
renewable
energy
sources
(RES)
and
supplies
reliable
power
to
remote
areas,
were
considered
in
order
overcome
the
intermittent
nature
of
RESs.
The
AC/DC
was
constructed
with
solar
photovoltaic
system,
wind
turbine,
battery
storage,
converter,
diesel
generator.
There
is
steady
increase
utilization
microgrids;
consequently,
it
necessary
solve
optimization
techniques.
Therefore,
present
study
proposed
utilizing
multi-objective
using
evolutionary
algorithms.
In
this
context,
few
papers
reviewed
regarding
determine
capacity
optimal
design
Here,
consisted
minimum
cost
energy,
net
cost,
low
operating
carbon
emissions
high
fraction.
These
determined
by
(MOO)
sizing
based
on
grey
wolf
optimizer
(MOGWO)
particle
swarm
(MOPSO).
Similarly,
different
algorithms
(MOGA,
MOGOA
etc.)
reduces
increases
reliability
islanded
systems.