Energies,
Journal Year:
2024,
Volume and Issue:
17(21), P. 5242 - 5242
Published: Oct. 22, 2024
As
the
scale
of
renewable
energy
sources
(RESs)
expands,
it
is
essential
to
optimize
configuration
wind,
solar,
and
storage
resources
across
different
areas.
Nevertheless,
unavoidable
uncertainties
associated
with
both
supply
demand
present
significant
challenges
for
planners.
This
study
aims
address
challenge
coordinated
planning
multiarea
wind-solar-energy
systems
considering
multiple
uncertainties.
First,
related
future
peak
demand,
thermal
generation
output
boundaries,
variability,
stochastic
unit
production
are
analyzed
modeled
on
basis
robust
optimization
programming
techniques.
Then,
a
hierarchical
model
that
incorporates
system-wide
(SW)
local
area
(LA)
models
proposed.
The
SW
designed
manage
optimal
capacity
RESs
(ESSs)
within
each
LA,
as
well
operational
boundary
LAs.
LA
aim
further
capacities
ESSs
minimize
economic
cost
resource
characteristics.
To
achieve
solution,
analytical
target
cascading
(ATC)
algorithm
integrated
column-and-constraint
(C&CG)
algorithm.
simulation
results
validate
effectiveness
reasonableness
proposed
model,
which
not
only
outperforms
independent
approaches
but
also
effectively
manages
Energies,
Journal Year:
2024,
Volume and Issue:
17(3), P. 550 - 550
Published: Jan. 23, 2024
Economic
Dispatch
Problems
(EDP)
refer
to
the
process
of
determining
power
output
generation
units
such
that
electricity
demand
system
is
satisfied
at
a
minimum
cost
while
technical
and
operational
constraints
are
satisfied.
This
procedure
vital
in
efficient
energy
management
networks
since
it
can
ensure
reliable
operation
systems.
As
systems
transition
from
conventional
modern
ones,
new
components
introduced
systems,
making
EDP
increasingly
complex.
highlights
importance
developing
advanced
optimization
techniques
efficiently
handle
these
complexities
optimal
cost-effectiveness
review
paper
provides
comprehensive
exploration
EDP,
encompassing
its
mathematical
formulation
examination
commonly
used
problem
techniques,
including
single
multi-objective
methods.
It
also
explores
progression
paradigms
economic
dispatch,
tracing
journey
traditional
methods
contemporary
strategies
management.
The
categorizes
utilized
for
solving
into
four
groups:
approaches,
uncertainty
modelling
methods,
artificial
intelligence-driven
hybrid
algorithms.
identifies
critical
research
gaps,
predominant
focus
on
single-case
studies
limit
generalizability
findings,
challenge
comparing
due
arbitrary
choices
variations.
present
calls
implementation
standardized
evaluation
criteria
inclusion
diverse
range
case
enhance
practicality
field.
e-Prime - Advances in Electrical Engineering Electronics and Energy,
Journal Year:
2024,
Volume and Issue:
8, P. 100577 - 100577
Published: May 5, 2024
Short-term
operation
is
one
of
the
most
significant
aspects
power
systems
and
planning
it
mainly
includes
resource
scheduling
including
renewable
non-renewable
energy
sources.
The
mentioned
problem
modeled
as
an
optimization
with
or
more
objectives
depending
upon
priorities
decision
maker
(system
operator)
several
equality
inequality
constraints.
In
this
respect,
paper
proposes
a
short-term
operational
model
for
hydrothermal
in
presence
wind
generation
pumped-hydro
storage
(PHS)
units.
formulated
single-objective
that
aims
to
minimize
total
operating
cost
fuel
thermal
has
been
comprehensively
investigated
through
five
case
studies
where
first
study
used
sake
validation.
Then,
other
assessed
impacts
generation,
PHS
unit,
uncertainty
on
problem.
are
follows:
Case
1:
(STH)
which
cost.
2:
Deterministic
hydrothermal-wind
(STHTW)
3:
Stochastic
wind-hydro-thermal
seeks
taking
into
consideration
generation.
4:
unit
minimization
objective
function.
5:
evaluate
impact
It
noteworthy
three
have
using
non-linear
programming
(NLP)
solved
CONOPT
solver
GAMS.
4
5
presented
mixed-integer
(MINLP)
DICOPT
A
sensitivity
analysis
also
carried
out
assess
system's
performance
different
loading
conditions.
amounts
load
demand
were
evaluated
results
discussed.
Advances in Applied Energy,
Journal Year:
2024,
Volume and Issue:
14, P. 100177 - 100177
Published: April 21, 2024
Wind
power
exhibits
low
controllability
and
is
situated
in
dispersed
geographical
locations,
presenting
complex
coupling
aggregation
characteristics
both
temporal
spatial
dimensions.
When
large-scale
wind
integrated
into
the
grid,
it
will
bring
a
significant
technical
challenge:
highly
variable
nature
of
poses
threat
to
safe
stable
control
power,
frequency,
voltage
system.
Simultaneously,
model
predictive
(MPC)
technology
provides
more
opportunities
for
investigating
issues
related
integration
systems.
This
paper
timely
systematic
overview
applications
MPC
field
first
time,
innovatively
embedding
multi-level
(e.g.,
turbines,
farms,
cluster,
grids)
multi-objective
voltage)
control.
Firstly,
basic
concept
classification
criteria
are
developed,
available
modeling
methods
carefully
compared.
Secondly,
application
scenarios
summarized.
Finally,
how
use
variety
optimization
algorithms
solve
these
models
discussed.
Based
on
broad
review
above,
we
summarize
several
key
scientific
discuss
challenges
future
development
directions
detail.
details
role
within
sector,
aiming
help
engineers
scientists
understand
its
substantial
potential
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 94543 - 94569
Published: Jan. 1, 2024
The
integration
of
various
grid-enhancing
technologies
is
crucial
for
addressing
the
current
challenges
faced
in
controlling
transmission
grids.
growing
variability
energy
supply
necessitates
innovative
solutions
such
as
advanced
grid
monitoring
and
control
systems,
storage
technologies,
flexible
infrastructure.
These
are
essential
balancing
intermittent
nature
renewable
sources
(RESs)
ensuring
a
stable
reliable
electricity
supply.
This
paper
offers
comprehensive
review
incorporating
insights
from
worldwide
academic
papers
existing
industrial
projects
that
address
enhance
functionality,
reliability,
sustainability
findings
highlight
modernizing
infrastructure
integrating
cutting-edge
digital
vital
effectively
number
RESs
enhancing
overall
resilience
efficiency.
In
addition,
explores
future
opportunities
improving
grids,
emphasizing
need
continued
innovation
investment
to
meet
evolving
demands
support
transition
more
sustainable
system.
