Due
to
the
complex
topology
of
optical
cables
in
distribution
communication
network,
it
is
difficult
effectively
control
network
losses
when
reconstructing
them.
Therefore,
a
multi-objective
genetic
reconstruction
algorithm
based
on
proposed,
which
analyzes
contact
status
power
supply
blocks
from
three
aspects:
average
degree
substations,
imbalance
substation
connections,
and
balance
level
And
use
as
optimization
goal
algorithm,
encode
selectable
lines
specific
capacity
variables
installation
locations
distributed
sources,
set
penalty
coefficients
constraints
process.
In
test
results,
single
line
loss
under
designed
stable
within
0.30%,
at
relatively
low
level.
PeerJ Computer Science,
Journal Year:
2024,
Volume and Issue:
10, P. e2139 - e2139
Published: July 18, 2024
This
study
aims
to
address
optimization
and
operational
challenges
in
multi-energy
coupled
microgrids
enhance
system
stability
reliability.
After
analyzing
the
requirements
of
such
systems
within
comprehensive
energy
systems,
an
improved
fireworks
algorithm
(IFWA)
is
proposed.
combines
adaptive
resource
allocation
strategy
with
a
community
genetic
strategy,
automatically
adjusting
explosion
range
spark
quantity
based
on
individual
status
meet
actual
needs.
Additionally,
multi-objective
model
considering
active
power
network
losses
static
voltage
constructed,
utilizing
shuffled
frog-leaping
(SFLA)
solve
constrained
problems.
Through
simulation
experiments
typical
northern
system,
conducted
scheduling
period
T
=
24,
feasibility
superiority
IFWA-SFLA
are
validated.
Results
indicate
that
performs
well
optimizing
microgrid
stability,
managing
electrical
flow
effectively
microgrid,
reducing
fluctuations.
Furthermore,
circuit
structure
control
storage
bidirectional
inverters
IFWA
discussed,
along
relevant
results.
Due
to
the
complex
topology
of
optical
cables
in
distribution
communication
network,
it
is
difficult
effectively
control
network
losses
when
reconstructing
them.
Therefore,
a
multi-objective
genetic
reconstruction
algorithm
based
on
proposed,
which
analyzes
contact
status
power
supply
blocks
from
three
aspects:
average
degree
substations,
imbalance
substation
connections,
and
balance
level
And
use
as
optimization
goal
algorithm,
encode
selectable
lines
specific
capacity
variables
installation
locations
distributed
sources,
set
penalty
coefficients
constraints
process.
In
test
results,
single
line
loss
under
designed
stable
within
0.30%,
at
relatively
low
level.
