Complementary
operation
has
been
proved
an
effective
way
to
handle
the
increasing
levels
of
renewable
energy
sources
(RESs)
integration
into
grid.
However,
due
relative
higher
forecast
uncertainty
associated
with
RESs
outputs,
when
hybrid
power
system
operates
according
day-ahead
plan
in
real-time,
performance
may
deviate
significantly
from
initial
expectation
plan.
To
this
problem,
study,
using
wind-hydro
(WHHPS)
as
example,
a
novel
tighten-constraint
method
is
proposed
guarantee
effectiveness
real-time
operation.
First,
conventional
planning
model
and
are
guide
WHHPS.
Second,
metric,
i.e.
Reliability,
denoted
by
R,
evaluate
perspective
given
inherent
prediction
errors
wind
power.
Third,
data-driven
introducing
adjustment
parameter,
λ,
improve
reliability
Finally,
bilevel
Stackelberg
reformulated
calculate
parameter
whole
procedure
clarified.
The
then
tested
verified
through
series
case
studies
at
end
paper.
results
show
that
(1)
can
under
different
reservoir
status;
(2)
high
level
without
adding
any
additional
computation
burden;
(3)
improving
precision
enhance
efficiency
resource
utilization
for
generation;
(4)
over
time,
increase
available
historical
data
accuracy
even
further.
Energies,
Journal Year:
2024,
Volume and Issue:
17(11), P. 2734 - 2734
Published: June 4, 2024
The
massive
grid
integration
of
renewable
energy
necessitates
frequent
and
rapid
response
hydropower
output,
which
has
brought
enormous
challenges
to
the
operation
new
opportunities
for
development.
To
investigate
feasible
solutions
complementary
systems
cope
with
transition
in
context
constantly
changing
role
plant
evolution
wind
solar
power,
short-term
coordinated
scheduling
model
is
developed
wind–solar–hydro
hybrid
pumped
storage
(WSHPS)
system
peak
shaving
operation.
effects
different
reservoir
inflow
conditions,
power
forecast
installed
capacity
pumping
station
on
performance
WSHPS
are
analyzed.
results
show
that
compared
(WSH)
system,
total
generation
dry,
normal,
wet
year
increased
by
10.69%,
11.40%,
11.27%
respectively.
curtailment
decreased
68.97%,
61.61%,
48.43%,
respectively,
76.14%,
58.48%,
50.91%,
high
proportion
connected
summer
leads
large
net
load
fluctuations
serious
curtailment.
increase
will
promote
consumption
system.
proposed
this
paper
can
improve
operational
flexibility
energy,
provides
a
reference
research
cascade
Water,
Journal Year:
2024,
Volume and Issue:
16(20), P. 2912 - 2912
Published: Oct. 13, 2024
Hydropower
as
a
flexible
regulation
resource
is
rare
choice
to
suppress
the
ever-increasing
penetration
of
wind
power
in
electrical
systems.
The
complementary
characteristics
and
performance
improvement
hydro–wind
hybrid
system
based
on
mathematical
model
studied
this
paper.
This
established
takes
into
account
stochastic
variation
speeds
subsystem
hydraulic–mechanical–electrical
coupling
hydropower
subsystem.
analysis
conducted
evaluation
variables
outputted
by
model,
such
power,
hydro-regulation
hydraulic
frequency.
To
make
full
use
capability
system,
optimization
parameter
settings
also
carried
out
improve
performances
system.
results
from
show
detailed
coordinated
operation
under
different
types
real
speeds.
Here,
95%
installed
hydro-capacity
used
complement
shortage
intermittent
energy
low
speed.
Alternatively,
only
around
66%
can
be
utilized
cope
with
fluctuation
medium
high
before
settings.
recommended
values
change
rules
control,
hydraulic,
parameters
for
are
subsequently
revealed
contribute
stable
safe
that
optimized
increase
maximal
regulating
capacity
nearly
9
MW,
approximately
sixth
total
capacity.
method
obtained
paper
provide
theoretical
technical
guidance
economical
stations.
Complementary
operation
has
been
proved
an
effective
way
to
handle
the
increasing
levels
of
renewable
energy
sources
(RESs)
integration
into
grid.
However,
due
relative
higher
forecast
uncertainty
associated
with
RESs
outputs,
when
hybrid
power
system
operates
according
day-ahead
plan
in
real-time,
performance
may
deviate
significantly
from
initial
expectation
plan.
To
this
problem,
study,
using
wind-hydro
(WHHPS)
as
example,
a
novel
tighten-constraint
method
is
proposed
guarantee
effectiveness
real-time
operation.
First,
conventional
planning
model
and
are
guide
WHHPS.
Second,
metric,
i.e.
Reliability,
denoted
by
R,
evaluate
perspective
given
inherent
prediction
errors
wind
power.
Third,
data-driven
introducing
adjustment
parameter,
λ,
improve
reliability
Finally,
bilevel
Stackelberg
reformulated
calculate
parameter
whole
procedure
clarified.
The
then
tested
verified
through
series
case
studies
at
end
paper.
results
show
that
(1)
can
under
different
reservoir
status;
(2)
high
level
without
adding
any
additional
computation
burden;
(3)
improving
precision
enhance
efficiency
resource
utilization
for
generation;
(4)
over
time,
increase
available
historical
data
accuracy
even
further.
