Wind energy science,
Journal Year:
2024,
Volume and Issue:
9(11), P. 2113 - 2132
Published: Nov. 7, 2024
Abstract.
Wake
steering
represents
a
viable
solution
to
mitigate
the
wake
effect
within
wind
farm.
New
research
that
considers
of
control
strategy
layout
optimization
is
emerging,
adopting
co-design
approach.
This
study
estimates
potential
this
technique
for
wide
range
realistic
conditions.
To
capture
benefits
such
methods,
genetic
algorithm
tailored
problem
has
been
developed
in
work;
hence
referred
as
(LO-GA).
The
crossover
phase
designed
recognize
and
exploit
differences
similarities
between
parent
layouts,
whereas
randomness
mutation
limited
improve
exploration
design
space.
relations
have
introduced
calculate
geometric
yaw
angles
based
on
reciprocal
positions
turbines.
For
base
case
16
turbines
located
at
Hollandse
Kust
Noord
site,
gain
annual
energy
production
(AEP)
0.3
%
0.4
obtained
when
approach
adopted.
increases
up
0.6
larger
farms,
saturating
after
25
However,
benefit
decreases
low
power
densities
or
if
resource
highly
unidirectional.
On
other
hand,
not
applied
during
operation
farm,
decrease
AEP
registered
optimized
with
method.
prevent
risk
related
future
decisions
strategy,
multi-objective
proposed.
simultaneous
scenario
which
versus
where
adopted
We
concluded
solutions
method
ensure
an
higher
than
16-turbine
farm
while
limiting
loss
below
0.1
applied.
these
gains
are
affected
by
size
direction
bins
simulations,
enhancing
necessity
taking
into
account
errors
actuation
constraints
evaluation
Knowledge-Based Systems,
Journal Year:
2024,
Volume and Issue:
299, P. 111998 - 111998
Published: May 29, 2024
Constrained
multi-objective
optimization
problems
(CMOPs)
are
widespread
in
practical
applications
such
as
engineering
design,
resource
allocation,
and
scheduling
optimization.
It
is
high
challenging
for
CMOPs
to
balance
the
convergence
diversity
due
conflicting
objectives
complex
constraints.
Researchers
have
developed
a
variety
of
constrained
algorithms
(CMOAs)
find
set
optimal
solutions,
including
evolutionary
machine
learning-based
methods.
These
exhibit
distinct
advantages
solving
different
categories
CMOPs.
Recently,
(CMOEAs)
emerged
popular
approach,
with
several
literature
reviews
available.
However,
there
lack
comprehensive-view
survey
on
methods
CMOAs,
limiting
researchers
track
cutting-edge
investigations
this
research
direction.
Therefore,
paper
latest
handling
A
new
classification
method
proposed
divide
literature,
containing
classical
mathematical
methods,
learning
Subsequently,
it
modeling
context
applications.
Lastly,
gives
potential
directions
respect
This
able
provide
guidance
inspiration
scholars
studying
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(3), P. 1212 - 1212
Published: Jan. 31, 2024
The
primary
goal
of
a
microgrid
(MG)
operator
is
to
provide
electricity
consumers
while
minimizing
costs.
For
this
aim,
the
must
engage
in
cost-effective
management
its
resource
outputs,
which
can
encompass
electrical,
thermal,
or
combined
cooling,
heat
and
power
(CCHP)
systems.
Conversely,
there
has
been
growing
emphasis
on
enhancing
resilience
MGs
response
low-probability
high-impact
(LPHI)
incidents
recent
years.
Therefore,
MG-associated
energy
strategies
have
factor
considerations.
While
improvement
activities
increase
operational
cost,
they
lead
reduction
lost
load,
subsequently,
decrease
MG
outage
costs,
making
these
economically
viable.
This
paper
focuses
MGs’
with
goals
resilience,
mitigating
active
losses
as
well
environmental
pollution.
To
attain
goal,
various
means
like
renewable
resources
(specifically
photovoltaic
(PV)
wind
turbine
(WT)
systems),
CCHP,
storage
devices
are
integrated.
Additionally,
for
reaching
solution,
genetic
algorithm
(GA)
implemented.
operation
considers
concept,
according
obtained
results,
it
observed
that
cost
pollution,
respectively,
experience
an
about
6.31%
2.8%.
However,
due
costs
by
average
13.91%
0.5%,
overall
diminished
5.93%.
achieved
through
increased
CCHP
generation
decreased
duration
during
emergencies.
