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J
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Hu
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[
2
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in
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[
4
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in
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[
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s
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T
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icien
t
an
d
ac
co
r
d
in
g
to
o
u
r
t
u
r
b
in
e
m
o
d
el,
ca
n
b
e
m
o
d
eled
with
th
e
f
o
llo
win
g
g
e
n
er
ic
eq
u
atio
n
,
(
,
)
=
0
.
5
(
116
−
0
.
4
−
5
)
−
(
21
)
(
2)
1
/
=
1
+
0
.
08
-
0
.
035
3
(
3
)
C
o
n
s
eq
u
en
tly
,
th
e
m
ax
im
u
m
p
o
wer
p
o
in
t t
r
ac
k
in
g
ca
n
b
e
d
et
er
m
in
ed
u
s
in
g
th
e
f
o
llo
win
g
e
q
u
atio
n
[
2
3
]
=
0
.
5
2
(
4
)
h
er
e,
is
o
p
tim
al
v
alu
e
o
f
tip
s
p
ee
d
r
atio
at
wh
ic
h
th
e
p
o
w
er
an
d
th
e
p
o
wer
co
n
v
er
s
io
n
co
ef
f
icien
t
ar
e
m
ax
im
u
m
s
.
2
.
2
.
B
a
t
t
er
y
ener
g
y
-
s
t
o
ra
g
e
s
y
s
t
em
co
ntr
o
ller
A
b
atter
y
s
to
r
ag
e
d
ev
ice
ca
n
b
e
u
tili
s
ed
to
s
to
r
e
th
e
ex
ce
s
s
p
r
o
d
u
ce
d
-
en
er
g
y
.
T
h
is
s
to
r
ag
e
c
an
b
e
u
s
ed
to
s
u
p
p
ly
th
e
lo
ad
if
ad
d
itio
n
al
en
er
g
y
is
n
ee
d
ed
.
C
o
n
s
e
q
u
en
tly
,
a
b
i_
d
i
r
ec
tio
n
al
co
n
tr
o
ller
is
n
ee
d
ed
to
d
is
ch
ar
g
e/o
r
ch
a
r
g
e
th
e
b
atter
y
s
to
r
ag
e
d
ev
ice
if
th
er
e
is
an
o
v
er
f
lo
w/s
h
o
r
tag
e
o
f
en
e
r
g
y
,
r
es
p
ec
tiv
ely
.
T
h
e
s
tate
o
f
b
atter
y
ch
a
r
g
in
g
(
SOC
)
p
er
ce
n
tag
e
in
f
o
r
m
atio
n
(
p
er
ce
n
ta
g
e
o
f
th
e
d
ev
ice
ca
p
ac
ity
)
ca
n
b
e
u
s
ed
to
ex
p
r
ess
th
e
q
u
a
n
tity
o
f
elec
tr
o
ch
e
m
ical
en
er
g
y
r
em
ai
n
ed
in
a
b
atter
y
s
to
r
ag
e
d
ev
ice
e.
g
.
s
ee
in
[
2
5
,
2
6
]
an
d
th
e
r
ef
er
en
ce
s
th
e
re
in
f
o
r
m
o
r
e
d
etails o
n
SOC
.
A
b
u
ck
-
b
o
o
s
t o
p
er
atio
n
m
o
d
e
o
f
b
i
-
d
ir
ec
tio
n
a
l D
C
co
n
tr
o
ller
ca
n
b
e
em
p
lo
y
e
d
f
o
r
c
h
ar
g
in
g
/o
r
d
is
ch
ar
g
in
g
p
u
r
p
o
s
e.
I
n
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
,
a
s
y
s
tem
o
f
en
er
g
y
s
to
r
a
g
e
is
ap
p
lied
to
k
ee
p
DC
v
o
ltag
e
at
a
s
tab
le
lev
el
wh
er
e
a
f
u
z
zy
co
n
tr
o
ller
is
em
p
lo
y
e
d
to
ac
c
o
m
p
lis
h
th
is
jo
b
.
2
.
3
.
Co
ntr
o
ller
o
f
lo
a
d
-
s
ide inv
er
t
er
T
h
e
co
n
tr
o
ller
o
f
lo
a
d
-
s
id
e
in
v
er
ter
(
L
SI)
is
a
cu
r
r
e
n
t_
r
eg
u
lated
ap
p
r
o
ac
h
in
v
e
r
ter
in
wh
ich
cu
r
r
en
t
i
n
th
e
d
ir
ec
t_
ax
is
i
d
is
u
s
ed
to
r
eg
u
l
ate
th
e
v
o
ltag
e
o
f
t
h
e
d
c
b
u
s
w
h
ile
cu
r
r
en
t
in
th
e
q
u
a
d
r
atu
r
e
_
ax
is
i
q
is
ap
p
lied
to
co
n
tr
o
l
t
h
e
s
y
s
tem
r
ea
ctiv
e
p
o
wer
(
s
ee
Fig
u
r
e
1
)
.
T
h
e
r
ea
ctiv
e
p
o
wer
r
e
q
u
est
is
s
et
to
ze
r
o
to
co
n
f
ir
m
u
n
ity
p
o
wer
f
ac
t
o
r
c
o
n
d
itio
n
.
T
h
e
c
o
n
tr
o
ller
o
f
l
o
ad
-
s
id
e
in
v
er
ter
is
a
h
y
b
r
id
s
ch
e
m
e
p
r
o
d
u
ce
d
as
a
jo
in
t
o
f
f
u
zz
y
alg
o
r
ith
m
a
n
d
MPC
tech
n
iq
u
e
.
T
h
e
k
e
y
f
ea
tu
r
e
o
f
th
e
m
o
d
el
p
r
ed
ictiv
e
a
p
p
r
o
a
ch
is
u
s
in
g
t
h
e
p
lan
t
m
o
d
el
f
o
r
th
e
p
r
ed
ictio
n
o
f
f
u
tu
r
e
p
er
f
o
r
m
an
ce
f
o
r
s
o
m
e
v
ar
ia
b
les
with
in
a
d
ef
in
ite
h
o
r
izo
n
o
f
th
e
m
o
d
el.
Fig
u
r
e
2
d
ep
icts
th
e
f
lo
wch
ar
t f
o
r
MPC
p
r
o
ce
d
u
r
e
in
wh
ich
co
s
t f
u
n
ctio
n
is
g
iv
en
as,
=
∑
(
∗
−
)
2
(
5
)
h
e
r
e
,
λ
j
i
s
t
h
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w
ei
g
h
t
i
n
g
f
a
c
t
o
r
,
x
j
P
i
s
t
h
e
p
r
e
d
i
c
ti
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f
t
h
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a
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a
b
l
e
x
j
,
a
n
d
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i
s
t
h
e
r
e
f
e
r
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n
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e
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o
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a
n
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q
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a
d
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r
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e
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d
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r
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n
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t
h
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s
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a
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h
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d
q
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c
o
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t
e
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v
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t
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g
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o
m
p
o
n
e
n
t
s
.
T
h
e
P
a
r
k
a
n
d
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l
a
r
k
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v
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l
t
a
g
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t
r
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n
s
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r
m
at
i
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n
c
a
n
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x
p
r
e
s
s
e
d
,
r
es
p
e
c
ti
v
e
l
y
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a
s
f
o
l
l
o
w
s
i
n
(
2
)
a
nd
(
3
)
,
[
V
d
j
V
q
j
]
=
[
c
os
θ
s
in
θ
−
s
in
θ
c
os
θ
]
[
V
α
j
V
β
j
]
(
6)
[
V
α
j
V
β
j
]
=
V
dc
∗
[
2
3
−
1
3
−
1
3
0
1
√
3
−
1
√
3
]
[
S
a
S
b
S
c
]
(
7
)
h
er
e,
V
α
j
a
n
d
V
β
j
a
r
e
the
s
ta
tion
a
r
y
ve
c
tor
s
for
vol
ta
ge
wi
thin
the
α
a
n
d
β
a
xis
,
V
d
j
an
d
V
q
j
ar
e
th
e
d
q
_
ax
is
co
m
p
o
n
en
t
v
ec
to
r
s
o
f
v
o
ltag
e
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d
S
ab
c
ar
e
th
e
co
n
tr
o
ller
s
witch
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g
s
ig
n
als.
E
u
ler
f
o
r
m
u
la
i
s
em
p
lo
y
ed
to
d
eter
m
in
e
th
e
d
is
cr
ete
d
q
_
cu
r
r
en
ts
as f
o
llo
ws
;
i
gd
j
[
k
+
1
]
=
T
s
L
[
V
gd
j
[
k
]
−
V
d
j
[
k
]
]
+
(
1
−
T
s
L
)
i
gd
j
[
k
]
(
8
)
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
Ma
ximu
m
p
o
w
er p
o
in
t tra
ck
in
g
co
n
tr
o
l fo
r
w
in
d
tu
r
b
in
es w
ith
b
a
tter
y
…
(
I
s
ma
il S
h
.
B
.
Hb
u
r
i
)
567
i
gq
j
[
k
+
1
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=
T
s
L
[
V
gq
j
[
k
]
−
V
q
j
[
k
]
]
+
(
1
−
R
T
s
L
)
i
gq
j
[
k
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(
9
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E
r
r
o
r
s
ig
n
als d
q
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ax
is
lo
ad
cu
r
r
en
ts
∆
i
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j
[
k
+
1
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an
d
∆
i
gq
j
[
k
+
1
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ar
e
d
eter
m
in
e
d
as f
o
llo
ws
;
∆
i
gd
j
[
k
+
1
]
=
∆
i
gd
∗
[
k
]
−
∆
i
gd
j
[
k
+
1
]
(
1
0
)
∆
i
gq
j
[
k
+
1
]
=
∆
i
gq
∗
[
k
]
−
∆
i
gq
j
[
k
+
1
]
(
1
1
)
T
h
e
co
s
t f
u
n
ctio
n
in
th
e
p
r
e
d
ictio
n
p
r
o
ce
d
u
r
e
ca
n
b
e
d
eter
m
i
n
ed
as f
o
llo
ws
;
g
j
=
|
∆
i
gd
j
[
k
+
1
]
|
+
|
∆
i
gq
j
[
k
+
1
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|
(
1
2
)
No
w,
th
is
co
s
t
f
u
n
ctio
n
co
u
ld
b
e
m
in
im
ized
b
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g
t
h
e
o
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m
s
witch
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g
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ig
n
als
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T
h
e
in
p
u
t
r
ef
er
en
ce
-
c
u
r
r
e
n
t
o
f
th
e
m
o
d
e
l
p
r
ed
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e,
i.e
.
,
i
q
∗
ca
n
b
e
esti
m
ated
th
r
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u
g
h
th
e
in
f
er
e
n
ce
o
f
f
u
zz
y
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g
ic
(
s
ee
Fig
u
r
e
3
)
wh
er
e
th
e
f
u
zz
y
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g
i
c
f
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r
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r
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Fig
u
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4
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e
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p
u
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u
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u
t
m
em
b
er
s
h
ip
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f
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n
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in
Fig
u
r
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5
.
T
h
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ass
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I
n
f
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ce
_
R
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f
o
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Fu
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co
n
tr
o
ller
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p
r
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T
ab
le
1
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Fig
u
r
e
2
.
Pit
ch
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g
le
co
n
t
r
o
l b
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iag
r
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m
Fig
u
r
e
3
.
MPC
alg
o
r
ith
m
f
lo
w
ch
ar
t
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I
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19
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No
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2
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Ap
r
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u
r
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r
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r
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Fig
u
r
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5
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t
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e
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s
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ip
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n
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f
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n
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q
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e
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3.
RE
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L
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Sy
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ts
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th
e
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ato
r
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atter
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d
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r
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e)
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Simu
lin
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T
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p
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s
h
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Fig
u
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6
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ate
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er
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er
f
o
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e
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o
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le
2
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n
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e
s
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[1
]
S
.
S
ima
n
i
,
“
Ov
e
rv
iew
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f
m
o
d
e
ll
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n
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a
d
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a
n
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l
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e
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fo
r
win
d
t
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sy
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s
,
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n
e
rg
ies
,
v
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l
.
8,
n
o
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1
2
,
p
p
.
1
3
3
9
5
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1
3
4
1
8
,
2
0
1
5
.
[2
]
J.
Hu
ss
a
in
,
M
.
K.
M
ish
ra
,
“
Ad
a
p
t
iv
e
m
a
x
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m
p
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m
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e
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T
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,
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p
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0
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6
.
[3
]
M
.
Ja
h
a
n
p
o
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-
De
h
k
o
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i
,
e
t
a
l.
,
"
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[4
]
E.
Iy
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se
re
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e
t
a
l.
,
“
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b
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st
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li
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v
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e
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rb
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n
i
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tern
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l
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d
u
c
ti
o
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g
e
n
e
ra
to
r
,
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J
o
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rn
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l
o
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n
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n
d
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[5
]
B
Bo
u
k
h
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H.
S
i
g
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e
rd
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d
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e
,
“
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tu
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l
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o
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1
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p
p
.
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0
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1
.
[6
]
Wei
C.
,
e
t
a
l.
,
“
An
a
d
a
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n
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rk
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m
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win
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e
rg
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o
n
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m
s
,
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s
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o
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.
[7
]
A.
Ca
ll
e
-
P
ra
d
o
,
e
t
a
l
.
,
“
M
o
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e
l
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re
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u
rre
n
t
c
o
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tr
o
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rid
-
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e
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ted
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tral
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lam
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o
n
v
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rters
to
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e
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lo
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-
v
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g
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ri
d
e
-
th
r
o
u
g
h
re
q
u
ire
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e
n
ts
,
”
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E
T
ra
n
s.
I
n
d
.
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e
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tro
n
.
,
v
o
l
.
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,
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o
.
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p
.
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5
0
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-
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5
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4
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2
0
1
5
.
[8
]
A.
J.
S
g
u
a
re
z
i,
e
t
a
l.
,
“
A
p
re
d
ictiv
e
p
o
we
r
c
o
n
tro
l
fo
r
wi
n
d
e
n
e
rg
y
,
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ric
a
n
P
o
we
r S
y
mp
o
si
u
m,
2
0
1
0
.
[9
]
L.
S
h
e
n
g
q
u
a
n
,
e
t
a
l.
,
“
M
o
d
e
l
-
b
a
se
d
m
o
d
e
l
p
re
d
ictiv
e
c
o
n
tr
o
l
fo
r
a
d
irec
t
-
d
riv
e
n
p
e
rm
a
n
e
n
t
m
a
g
n
e
t
sy
n
c
h
ro
n
o
u
s
g
e
n
e
ra
to
r
wit
h
i
n
tern
a
l
a
n
d
e
x
ter
n
a
l
d
istu
r
b
a
n
c
e
s
,
”
T
ra
n
s
a
c
ti
o
n
s o
f
th
e
In
stit
u
te
o
f
M
e
a
su
re
me
n
t
a
n
d
Co
n
tro
l
,
2
0
1
9
.
[1
0
]
V.
Ya
ra
m
a
su
a
n
d
B.
W
u
,
“
P
re
d
i
c
ti
v
e
c
o
n
tr
o
l
o
f
a
t
h
re
e
-
lev
e
l
b
o
o
st
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o
n
v
e
rter
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n
d
a
n
n
p
c
in
v
e
rter
fo
r
h
i
g
h
-
p
o
we
r
p
m
sg
-
b
a
se
d
m
e
d
i
u
m
v
o
lt
a
g
e
wi
n
d
e
n
e
rg
y
c
o
n
v
e
rsio
n
sy
ste
m
s
,
”
IE
EE
T
ra
n
sa
c
ti
o
n
s
o
n
P
o
we
r
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e
c
t
ro
n
ics
,
v
o
l
.
29,
n
o
.
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0
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p
p
.
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3
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2
,
2
0
1
4
.
[
1
1
]
P
.
K
o
u
,
D
.
L
i
a
n
g
,
F
.
G
a
o
,
a
n
d
L
.
G
a
o
,
“
C
o
o
r
d
i
n
a
t
e
d
p
r
e
d
i
c
t
i
v
e
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o
n
t
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o
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f
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g
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s
e
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w
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n
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-
b
a
t
t
e
r
y
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y
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r
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d
s
y
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t
e
m
s
:
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s
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non
-
g
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s
s
i
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n
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d
p
o
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s
t
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i
b
u
t
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o
n
s
,
”
I
E
E
E
T
r
a
n
s
.
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n
e
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g
y
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o
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v
.
,
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l
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.
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p
.
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0
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5
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[1
2
]
M.
A.
E
v
a
n
s,
M
.
Ca
n
n
o
n
,
a
n
d
B
Ko
u
v
a
rit
a
k
is,
“
R
o
b
u
st
M
P
C
to
we
r
d
a
m
p
i
n
g
fo
r
v
a
ria
b
le
sp
e
e
d
win
d
tu
r
b
in
e
s
,
”
IEE
E
T
ra
n
s.
C
o
n
tro
l
S
y
st.
T
e
c
h
n
o
l
.
,
v
o
l
.
2
3
,
n
o
.
1
,
p
p
.
2
9
0
-
2
9
6
,
2
0
1
4
.
[1
3
]
T.
Ba
rlas
v
a
n
,
G
.
Ve
e
n
,
a
n
d
G
.
Ku
ik
,
“
M
o
d
e
l
p
re
d
ictiv
e
c
o
n
tro
l
fo
r
win
d
tu
r
b
in
e
s
with
d
istri
b
u
t
e
d
a
c
ti
v
e
flap
s:
In
c
o
rp
o
ra
ti
n
g
i
n
flo
w si
g
n
a
ls a
n
d
a
c
tu
a
to
r
c
o
n
stra
i
n
ts
,
”
W
in
d
E
n
e
rg
y
,
v
o
l
.
1
5
,
n
o
.
5
,
p
p
.
7
5
7
-
7
7
1
,
2
0
1
2
.
[1
4
]
M.
D.
S
p
e
n
c
e
r,
K.
A S
to
l
,
C.
P
.
U
n
sw
o
rth
,
a
n
d
J.
E
.
Ca
ter,
“
No
rris
M
o
d
e
l
p
re
d
icti
v
e
c
o
n
tr
o
l
o
f
a
win
d
tu
r
b
in
e
u
sin
g
sh
o
rt
-
term
win
d
fiel
d
p
re
d
ictio
n
s
,
”
W
in
d
E
n
e
rg
y
,
v
o
l.
1
6
,
p
p
.
4
1
7
-
4
3
4
,
2
0
1
3
.
[1
5
]
M
.
S
o
li
m
a
n
,
a
n
d
O.
P
M
a
li
k
,
“
W
e
stwic
k
M
u
lt
i
p
le
m
o
d
e
l
m
imo
p
r
e
d
ictiv
e
c
o
n
t
ro
l
f
o
r
v
a
riab
le
sp
e
e
d
v
a
riab
le
p
it
c
h
win
d
tu
r
b
i
n
e
s
,
”
Pro
c
e
e
d
i
n
g
s
o
f
t
h
e
Ame
ric
a
n
Co
n
tro
l
Co
n
fer
e
n
c
e
(
ACC),
B
a
lt
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o
re
,
M
D,
U
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A
,
p
p
.
2
7
7
8
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7
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4
,
2
0
1
0
.
[1
6
]
D.
Q.
M
a
y
n
e
,
J.
B.
Ra
wlin
g
s,
C.
V.
Ra
o
,
a
n
d
P
.
O.
S
c
o
k
a
e
rt
,
“
Co
n
stra
in
e
d
m
o
d
e
l
p
re
d
ictiv
e
c
o
n
tr
o
l:
S
tab
i
li
ty
a
n
d
o
p
ti
m
a
li
t
y
,
”
A
u
to
m
a
ti
c
a
,
v
o
l.
36,
n
o
.
6
,
p
p
.
7
8
9
-
8
1
4
,
2
0
0
0
.
[1
7
]
M
.
S
o
li
m
a
n
,
a
n
d
O.
P
.
,
M
a
li
k
,
“
Wes
twick
,
M
u
l
ti
p
le
m
o
d
e
l
p
re
d
i
c
ti
v
e
c
o
n
tr
o
l
f
o
r
win
d
t
u
rb
i
n
e
s
with
d
o
u
b
ly
fe
d
in
d
u
c
ti
o
n
g
e
n
e
ra
to
rs
,
”
I
EE
E
T
ra
n
s.
S
u
st
a
in
.
E
n
e
rg
y
,
v
o
l.
2
,
n
o
.
3
,
p
p
.
2
1
5
-
2
2
5
,
2
0
1
1
.
[1
8
]
A.
Ja
in
,
G
.
S
c
h
il
d
b
a
c
h
,
L.
F
a
g
ian
o
,
a
n
d
M
.
M
o
ra
ri,
“
On
t
h
e
d
e
sig
n
a
n
d
t
u
n
i
n
g
o
f
li
n
e
a
r
m
o
d
e
l
p
re
d
i
c
ti
v
e
c
o
n
tro
l
f
o
r
win
d
t
u
rb
in
e
s
,
”
Ren
e
w.
En
e
rg
y
,
v
o
l.
8
0
,
p
p
.
6
6
4
-
6
7
3
,
2
0
1
5
.
[1
9
]
S
.
B
o
u
o
u
d
e
n
,
M
.
Ch
a
d
l
i,
S
.
F
il
a
li
a
n
d
A.
El
Ha
jj
a
ji
,
“
F
u
z
z
y
m
o
d
e
l
b
a
se
d
m
u
lt
iv
a
riab
le
p
re
d
ictiv
e
c
o
n
t
ro
l
o
f
a
v
a
riab
le
sp
e
e
d
win
d
tu
r
b
i
n
e
,
”
Ren
e
w
a
b
le
En
e
rg
y
,
v
o
l.
3
7
,
n
o
.
1
,
p
p
.
4
3
4
-
4
3
9
,
2
0
1
2
.
[
2
0
]
A
.
K
u
s
i
a
k
,
W
.
L
i
,
a
n
d
Z
.
S
o
n
g
,
“
D
y
n
a
m
i
c
c
o
n
t
r
o
l
o
f
w
i
n
d
t
u
r
b
i
n
e
s
,”
R
e
n
e
w
a
b
l
e
E
n
e
r
g
y
,
v
o
l
.
3
5
,
n
o
.
2
,
p
p
.
456
-
463
,
2
0
1
0
.
[2
1
]
S
.
Bo
u
o
u
d
e
n
,
S
.
F
il
a
li
,
a
n
d
M
.
C
h
a
d
li
,
“
F
u
z
z
y
p
r
e
d
ictiv
e
c
o
n
tr
o
l
o
f
a
v
a
riab
le
sp
e
e
d
win
d
tu
r
b
in
e
,
”
E
n
e
rg
y
Pro
c
e
d
ia
,
v
o
l.
4
2
,
p
p
.
3
5
7
-
3
6
6
,
2
0
1
3
.
[2
2
]
H.
F
.
Kh
a
z
a
a
l,
I.
S
h
.
Hb
u
ri,
M
.
F
a
rh
a
n
,
M
.
Di
n
in
a
wi
,
"
A
Hy
b
ri
d
Co
n
tro
l
S
trate
g
y
f
o
r
P
M
S
G
-
b
a
se
d
S
t
a
n
d
a
lo
n
e
Wi
n
d
Tu
rb
i
n
e
s with
BES
S
,
"
IOP
C
o
n
fer
e
n
c
e
S
e
rie
s: M
a
ter
ia
ls
S
c
ien
c
e
a
n
d
E
n
g
in
e
e
rin
g
,
2
0
2
0
.
[2
3
]
G
.
M
a
rc
e
lo
,
E.
Vill
a
lv
a
Ru
p
p
e
rt
,
“
An
a
ly
sis
a
n
d
S
imu
lati
o
n
o
f
t
h
e
P
&
O
M
P
P
T
Al
g
o
r
it
h
m
Us
in
g
a
Li
n
e
a
rize
d
P
V
Arra
y
M
o
d
e
l
,
”
IEE
E
An
n
u
a
l
C
o
n
f
e
re
n
c
e
o
n
In
d
u
stri
a
l
El
e
c
tro
n
ics
,
Po
rto
,
Po
t
u
g
a
l,
p
p
.
2
3
1
-
2
3
6
,
2
0
0
9
.
[2
4
]
S.
M
.
M
u
y
e
e
n
,
J.
Tam
u
ra
,
a
n
d
T.
M
u
ra
ta,
“
S
ta
b
il
it
y
Au
g
m
e
n
tati
o
n
o
f
a
G
rid
Co
n
n
e
c
ted
Wi
n
d
F
a
rm
,
”
S
p
rin
g
e
r
-
Ver
la
g
,
Lo
n
d
o
n
,
2
0
0
9
.
[2
5
]
R.
G
u
les
,
J.
De
P
.
P
a
c
h
e
c
o
,
H.
He
y
,
“
A
M
a
x
im
u
m
P
o
we
r
P
o
i
n
t
T
ra
c
k
in
g
S
y
ste
m
wit
h
P
a
ra
ll
e
l
C
o
n
n
e
c
ti
o
n
f
o
r
P
V
S
tan
d
-
Al
o
n
e
Ap
p
li
c
a
ti
o
n
s
,
”
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
In
d
u
stri
a
l
El
e
c
tro
n
ics
,
v
o
l
.
5
5
,
n
o
.
7
,
p
p
.
2
6
7
4
-
2
6
8
3
,
2
0
0
8
.
[2
6
]
Y.
Ay
sa
r,
G
.
Na
p
o
li
,
M
.
F
e
rra
ro
,
V.
A
n
to
n
u
c
c
i,
“
M
o
d
e
ll
i
n
g
a
n
d
C
o
n
tr
o
l
o
f
a
Re
sid
e
n
ti
a
l
Wi
n
d
/P
V/
Ba
tt
e
ry
Hy
b
rid
P
o
we
r
S
y
ste
m
wit
h
P
e
rfo
rm
a
n
c
e
An
a
ly
sis
,
”
J
o
u
r
n
a
l
o
f
Ap
p
li
e
d
S
c
i
e
n
c
e
s
,
v
o
l.
11
,
n
o
.
2
2
,
p
p
.
3
6
6
3
-
3
6
7
6
,
2
0
1
1
.
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