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MA
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I
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life
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wh
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e
f
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m
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f
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[
1
]
,
elec
tr
icity
,
o
r
o
t
h
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s
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s
o
f
e
n
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to
p
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n
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d
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I
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C
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Ag
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a
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in
cr
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s
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p
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[
2
]
.
T
h
is
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ap
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to
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,
as
r
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I
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ter
n
atio
n
al
E
n
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g
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Ag
en
cy
(
I
E
A)
[
3
]
.
T
h
e
d
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m
in
an
t
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ce
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o
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t
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is
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els
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ch
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t c
o
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s
.
Nev
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n
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p
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war
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g
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clim
ate
ch
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g
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an
d
p
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tio
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[
4
]
,
[
5
]
.
T
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ex
ac
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ated
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f
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th
at
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f
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f
u
els
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s
ig
n
if
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im
in
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h
in
g
[
6
]
.
Acc
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th
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Min
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tr
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E
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Min
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R
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esp
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6
5
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[
7
]
.
Hen
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co
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r
elian
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f
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I
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en
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y
[
8
]
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R
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in
clu
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lar
,
win
d
,
h
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o
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an
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[
9
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[
1
0
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.
T
h
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o
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clea
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el
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e
[
1
1
]
-
[
1
3
]
.
Asi
d
e
f
r
o
m
s
u
p
p
ly
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n
g
elec
tr
icity
,
r
en
ewa
b
le
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g
y
also
h
elp
s
in
jo
b
d
ep
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en
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tech
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o
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e
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t
,
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m
in
im
izin
g
en
v
ir
o
n
m
en
tal
p
r
o
b
lem
s
[
1
1
]
,
[
1
4
]
,
[
1
5
]
.
Ho
wev
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,
s
ev
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al
s
etb
ac
k
s
in
clu
d
e
u
n
p
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d
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o
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s
,
m
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ly
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y
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d
h
ig
h
in
itial
co
s
ts
[
1
1
]
,
[
1
5
]
-
[
1
7
]
.
T
h
u
s
,
p
lan
n
in
g
f
o
r
r
en
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b
le
e
n
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ay
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tili
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in
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r
ly
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Simu
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a
m
eth
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to
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ep
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p
h
y
s
ical
p
er
f
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m
an
c
e
b
ased
o
n
s
y
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tem
s
,
p
r
o
ce
s
s
es,
an
d
laws
u
s
in
g
p
ar
am
eter
s
[
1
8
]
.
T
h
is
m
eth
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d
will
h
elp
in
s
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p
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tin
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r
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s
in
g
th
e
r
esu
lts
a
n
aly
s
is
.
Sev
er
al
s
o
f
twar
e
h
a
v
e
b
ee
n
u
s
ed
in
th
e
ca
s
e
o
f
th
is
s
o
u
r
ce
,
s
u
ch
as P
VSy
s
t,
R
E
T
Scr
ee
n
,
HOM
E
R
,
an
d
PS
C
AD.
On
e
o
f
th
e
p
o
p
u
lar
s
o
f
twar
e
t
h
at
is
u
s
ed
is
ca
lled
MA
T
L
AB
o
r
Ma
tr
ix
L
ab
o
r
ato
r
y
,
wh
ic
h
f
ac
ilit
a
tes
a
to
o
l
ca
lled
Simu
lin
k
t
o
h
el
p
in
cr
ea
tin
g
en
e
r
g
y
m
o
d
els
th
at
will
b
e
u
s
ed
as
a
s
im
u
latio
n
b
asis
f
o
r
an
aly
s
is
p
u
r
p
o
s
es.
Pre
v
io
u
s
ly
,
th
er
e
h
a
v
e
b
ee
n
n
u
m
er
o
u
s
ap
p
licatio
n
s
b
ased
o
n
Simu
lin
k
i
n
v
ar
i
o
u
s
r
en
ewa
b
le
en
er
g
y
s
y
s
tem
s
.
Acc
o
r
d
in
g
to
a
s
tu
d
y
,
a
s
o
l
ar
tr
ac
k
in
g
s
y
s
tem
was
d
ev
elo
p
e
d
,
o
p
er
ati
n
g
au
to
m
ati
ca
lly
to
lo
ca
te
th
e
m
o
s
t
o
p
tim
al
lig
h
t
p
o
s
itio
n
[
1
9
]
.
T
o
c
o
n
tr
o
l
th
is
s
y
s
tem
,
PI
D
co
n
tr
o
l
is
em
p
lo
y
ed
,
co
n
s
is
tin
g
o
f
a
m
o
to
r
an
d
a
s
o
lar
p
an
el
[
1
9
]
.
I
n
an
o
th
er
s
tu
d
y
with
g
eo
th
er
m
al
p
o
wer
p
l
an
ts
,
Simu
lin
k
was
al
s
o
u
tili
ze
d
f
o
r
s
im
u
latio
n
b
y
in
v
o
lv
in
g
two
s
u
b
s
y
s
tem
s
,
P1
an
d
an
o
th
e
r
s
u
b
s
y
s
tem
f
o
r
co
m
p
o
n
e
n
ts
(
VSD
an
d
Pu
m
p
)
.
T
h
e
r
esu
lts
s
h
o
wed
th
at
th
e
s
y
s
tem
'
s
p
er
f
o
r
m
an
c
e
was
s
atis
f
ac
to
r
y
,
with
n
o
r
m
al
s
im
u
latio
n
tim
es
an
d
r
es
p
o
n
s
es
th
at
d
id
n
o
t
ex
h
ib
it si
g
n
if
ican
t o
v
er
s
h
o
o
t [
2
0
]
.
L
o
ca
tio
n
s
elec
tio
n
is
also
n
ec
ess
ar
y
in
th
e
ea
r
ly
p
h
ase
o
f
d
ev
elo
p
m
en
t.
I
n
I
n
d
o
n
esia,
th
e
p
o
ten
tial
f
o
r
r
en
ewa
b
le
e
n
er
g
y
is
s
u
b
s
ta
n
tial
[
2
1
]
,
[
2
2
]
.
Par
ticu
lar
ly
in
th
e
R
iau
p
r
o
v
i
n
ce
,
r
en
ewa
b
le
en
er
g
y
p
o
te
n
tial
is
r
ep
o
r
ted
as
5
9
5
0
MW [
23]
.
T
a
b
le
1
s
h
o
ws th
e
r
e
n
ewa
b
le
en
e
r
g
y
p
o
ten
tial
in
R
iau
,
I
n
d
o
n
esi
a.
T
h
er
ef
o
r
e,
o
p
p
o
r
tu
n
ities
s
till
ex
is
t
to
cr
ea
te
r
en
ewa
b
le
en
e
r
g
y
-
b
ased
p
o
wer
g
en
er
atio
n
s
y
s
tem
s
in
th
is
ar
ea
.
I
n
co
n
tr
ast
with
th
e
p
o
ten
tial
o
f
r
e
n
ewa
b
le
e
n
er
g
y
,
t
h
is
r
eg
io
n
s
till
f
ac
es
e
lectr
icity
-
r
elate
d
p
r
o
b
lem
s
.
Pek
an
b
ar
u
C
ity
,
s
er
v
in
g
as
th
e
ca
p
ital
o
f
t
h
is
p
r
o
v
in
ce
,
is
o
n
e
o
f
th
e
ar
ea
s
f
r
e
q
u
en
tly
ex
p
e
r
ien
cin
g
elec
tr
icity
d
ef
icits
,
m
ak
in
g
th
e
in
s
tallatio
n
o
f
p
o
wer
g
e
n
er
ati
o
n
s
y
s
tem
s
cr
u
cial
f
o
r
s
u
p
p
le
m
en
tin
g
th
e
s
u
p
p
ly
[
8
]
.
Als
o
,
r
ec
e
n
tly
,
th
er
e
was
a
to
tal
b
lack
o
u
t
i
n
th
e
wh
o
le
city
th
at
last
ed
f
o
r
h
o
u
r
s
d
u
e
to
a
tr
an
s
m
is
s
io
n
p
r
o
b
lem
f
r
o
m
t
h
e
State
E
lectr
icity
C
o
m
p
an
y
(
PLN)
in
a
n
o
th
er
p
ar
t
o
f
Su
m
atr
a
I
s
lan
d
.
T
h
is
s
h
o
ws
h
o
w
v
u
ln
er
ab
le
t
h
e
elec
tr
icity
s
y
s
tem
is
if
o
n
ly
d
ep
en
d
e
n
t
o
n
th
i
s
s
o
u
r
ce
.
Fo
r
th
is
r
ea
s
o
n
,
r
e
n
e
wab
le
en
er
g
y
m
u
s
t
b
e
im
p
lem
en
ted
as
a
s
o
lu
tio
n
t
o
th
ese
is
s
u
es.
W
in
d
en
er
g
y
,
a
lo
n
g
with
s
o
lar
en
er
g
y
,
is
o
n
e
o
f
th
e
s
o
u
r
ce
s
th
at
is
m
o
s
tly
av
ailab
le
in
all
p
ar
ts
o
f
th
e
wo
r
ld
[
2
4
]
.
Kn
o
win
g
th
at
th
e
p
o
ten
tial
o
f
th
is
en
er
g
y
h
as
n
o
t
b
ee
n
im
p
lem
en
ted
,
an
in
itial
ass
es
s
m
en
t
o
f
th
e
win
d
s
p
ee
d
in
th
is
ar
ea
ca
n
b
e
m
ad
e.
Usi
n
g
th
e
d
ata
f
r
o
m
B
PS
,
th
e
win
d
s
p
ee
d
d
ata
ca
n
b
e
s
h
o
wn
in
T
ab
le
2
[
2
5
]
.
T
ab
le
1
.
T
h
e
r
en
ewa
b
le
e
n
er
g
y
p
o
ten
tial
in
R
iau
[
2
3
]
En
e
r
g
y
t
y
p
e
P
o
t
e
n
c
y
I
n
st
a
l
l
e
d
c
a
p
a
c
i
t
y
(
M
W
)
U
t
i
l
i
z
a
t
i
o
n
G
e
o
t
h
e
r
m
a
l
2
0
M
W
0
M
W
0
.
0
0
%
W
a
t
e
r
9
6
1
,
8
4
M
W
1
1
4
,
2
7
M
W
1
2
.
0
0
%
B
i
o
e
n
e
r
g
y
-
b
i
o
f
u
e
l
s
7
.
7
9
7
.
9
8
1
TO
N
3
,
3
3
6
,
3
0
2
M
W
4
2
.
7
8
%
B
i
o
e
n
e
r
g
y
-
b
i
o
mas
s
3
8
4
4
M
W
7
0
0
TO
N
1
8
.
2
1
%
B
i
o
e
n
e
r
g
y
-
b
i
o
g
a
s
3
2
5
M
W
3
3
,
4
5
M
W
1
0
.
2
9
%
S
u
n
7
5
3
-
1
7
0
0
M
W
(
4
.
8
0
k
W
h
/
m
2
/
d
a
y
)
1
,
2
8
M
W
0
.
0
2
%
W
i
n
d
5
M
W
(
3
-
6
m/
s)
0
M
W
0
.
0
0
%
S
e
a
2
4
1
M
W
0
M
W
0
.
0
0
%
To
t
a
l
5
.
9
5
0
M
W
8
4
8
,
9
0
M
W
1
4
.
2
7
%
T
ab
le
2
.
Pek
an
b
ar
u
win
d
s
p
ee
d
f
r
o
m
2
0
2
0
-
2
0
2
2
[
2
5
]
M
o
n
t
h
l
y
W
i
n
d
s
p
e
e
d
(
m/
s)
M
i
n
i
m
u
m
A
v
e
r
a
g
e
M
a
x
i
m
u
m
2
0
2
0
2
0
2
1
2
0
2
2
2
0
2
0
2
0
2
1
2
0
2
2
2
0
2
0
2
0
2
1
2
0
2
2
Jan
u
a
r
y
0
.
0
0
0
.
0
0
0
.
0
0
1
.
5
2
6
.
0
0
7
.
0
0
9
.
7
7
1
5
.
0
0
2
0
.
0
0
F
e
b
r
u
a
r
y
0
.
0
0
0
.
0
0
0
.
0
0
1
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6
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
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&
Dr
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s
t
I
SS
N:
2088
-
8
6
9
4
S
imu
la
tio
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a
n
d
a
n
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lysi
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f wi
n
d
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erg
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p
o
ten
tia
l fo
r
tu
r
b
in
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s
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(
N
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P
r
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n
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ta
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1343
B
ased
o
n
T
ab
le
2
,
th
e
win
d
s
p
ee
d
s
h
o
ws
th
e
v
alu
e
o
f
6
-
7
m
/s
av
er
ag
e
in
2
0
2
2
,
wh
ich
t
h
e
th
r
esh
o
ld
f
o
r
s
m
all
win
d
tu
r
b
in
e
im
p
l
em
en
tatio
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lies
b
etwe
en
4
-
4
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5
m
/s
[
2
6
]
,
[
2
7
]
.
I
n
c
o
r
r
elat
io
n
with
Simu
lin
k
im
p
lem
en
tatio
n
,
s
ev
er
al
s
tu
d
ies
r
eg
ar
d
in
g
win
d
en
e
r
g
y
h
av
e
b
ee
n
r
ev
iewe
d
.
T
wo
s
tu
d
ies
s
h
o
w
s
im
ilar
c
o
n
tex
t
f
o
r
d
if
f
er
e
n
t
r
eg
io
n
s
,
n
am
ely
C
ilaca
p
an
d
T
eg
al
[
2
8
]
,
[
2
9
]
.
B
o
th
d
is
cu
s
s
th
e
d
ata
co
llectio
n
,
cr
ea
tio
n
o
f
th
e
tu
r
b
in
e
m
o
d
el
,
as
well
as
s
im
u
latio
n
u
s
in
g
p
ar
am
eter
s
s
u
ch
as
win
d
s
p
ee
d
,
b
lad
e
r
ad
i
u
s
,
air
d
en
s
ity
,
tilt
an
g
le,
an
d
r
o
to
r
a
n
g
u
lar
s
p
ee
d
,
w
h
ich
r
esu
lts
in
0
.
2
k
W
an
d
0
.
7
k
W
,
r
esp
ec
tiv
ely
.
E
v
en
f
u
r
th
er
,
an
o
th
er
s
tu
d
y
in
teg
r
ated
a
g
en
er
ato
r
in
th
e
m
o
d
els
b
ased
o
n
Fin
ite
E
lem
en
t
Me
th
o
d
Ma
g
n
etics
s
im
u
lati
o
n
d
ata
[
3
0
]
.
Hen
ce
,
th
is
s
h
o
ws
th
at
Simu
lin
k
s
er
v
es
well
f
ea
tu
r
es
th
at
ca
n
f
a
cilitate
th
e
m
o
d
elin
g
o
f
win
d
en
er
g
y
m
o
d
els
f
o
r
r
esear
ch
p
u
r
p
o
s
es.
I
n
ac
co
r
d
a
n
ce
,
th
is
r
esear
ch
aim
s
to
co
n
d
u
ct
a
s
im
u
latio
n
f
o
r
th
e
d
esig
n
o
f
a
win
d
tu
r
b
i
n
e
s
y
s
tem
u
s
in
g
Simu
lin
k
-
b
ased
s
im
u
lat
io
n
,
s
p
ec
if
ically
in
Pek
an
b
ar
u
,
R
iau
,
I
n
d
o
n
esia.
T
h
e
o
b
je
ctiv
e
is
to
p
r
o
v
id
e
in
s
ig
h
ts
in
to
th
e
p
o
te
n
tial
o
f
w
in
d
p
o
wer
g
en
e
r
atio
n
with
in
t
h
e
tu
r
b
in
e
s
y
s
tem
,
f
o
cu
s
in
g
o
n
th
e
p
r
ed
eter
m
in
e
d
lo
ca
tio
n
o
f
Pek
a
n
b
ar
u
.
W
h
at
s
ets
it
ap
ar
t
f
r
o
m
p
r
ev
io
u
s
r
elate
d
s
tu
d
ies
is
th
e
ch
o
ice
o
f
a
r
en
ewa
b
le
en
er
g
y
s
o
u
r
ce
,
s
p
ec
if
ically
w
in
d
en
er
g
y
,
u
s
in
g
MA
T
L
AB
Simu
lin
k
in
th
is
r
eg
io
n
,
wh
ich
h
as n
ev
er
b
ee
n
s
tu
d
ied
.
T
h
e
s
y
s
tem
'
s
d
ev
elo
p
m
en
t
will
th
e
n
co
n
ce
n
tr
ate
o
n
d
esig
n
in
g
a
t
u
r
b
in
e
s
y
s
tem
.
T
h
is
s
tu
d
y
is
an
ticip
ated
to
o
f
f
er
a
clea
r
u
n
d
er
s
tan
d
i
n
g
o
f
th
e
win
d
p
o
wer
g
en
e
r
atio
n
p
o
ten
tial
in
th
e
tu
r
b
in
e
s
y
s
tem
,
p
ar
ticu
la
r
ly
in
th
e
s
p
ec
if
ied
lo
ca
tio
n
.
Seco
n
d
ly
,
th
e
r
ep
o
r
t
aim
s
to
s
er
v
e
as
a
r
ef
e
r
en
ce
f
o
r
f
u
r
th
er
r
esear
ch
in
c
o
m
p
r
eh
e
n
d
in
g
a
n
d
ad
v
an
cin
g
th
e
in
teg
r
atio
n
o
f
ar
tific
ial
in
tellig
en
ce
in
th
e
co
n
t
ex
t o
f
win
d
p
o
wer
g
en
er
atio
n
.
2.
M
E
T
H
O
D
T
h
e
m
eth
o
d
ap
p
lied
in
th
is
p
r
o
ject
in
v
o
lv
es
a
s
er
ies
o
f
s
tep
s
to
ad
d
r
ess
co
n
tem
p
o
r
ar
y
is
s
u
es
r
elate
d
to
s
u
s
tain
ab
ilit
y
,
p
ar
ticu
lar
ly
i
n
th
e
co
n
te
x
t
o
f
e
n
er
g
y
.
First,
th
e
id
en
tific
atio
n
o
f
t
h
e
c
u
r
r
e
n
t
is
s
u
es
ass
o
ciate
d
with
en
er
g
y
s
u
s
tain
ab
ilit
y
is
d
o
n
e.
T
h
e
n
ex
t
s
tep
in
v
o
lv
es
co
llectin
g
in
f
o
r
m
atio
n
an
d
d
ata
t
h
r
o
u
g
h
a
liter
atu
r
e
r
ev
iew,
en
co
m
p
ass
in
g
jo
u
r
n
al
s
,
r
ep
o
r
ts
,
an
d
o
th
er
r
elev
an
t s
o
u
r
ce
s
.
S
u
b
s
e
q
u
e
n
t
l
y
,
t
h
e
s
e
le
c
t
i
o
n
o
f
t
h
e
r
e
s
e
a
r
c
h
l
o
c
a
t
i
o
n
b
ec
o
m
e
s
a
c
r
u
c
i
al
s
t
a
g
e
,
a
n
d
Pe
k
a
n
b
a
r
u
i
s
c
h
o
s
e
n
a
s
a
s
u
i
t
a
b
l
e
r
e
s
e
a
r
c
h
l
o
c
a
ti
o
n
,
g
i
v
e
n
i
t
s
e
l
e
c
t
r
i
c
i
t
y
d
e
f
i
ci
t
i
s
s
u
e
s
.
I
n
f
o
r
m
a
t
i
o
n
i
s
g
a
t
h
e
r
e
d
r
e
g
a
r
d
i
n
g
t
h
e
t
e
c
h
n
i
c
a
l
d
a
t
a
o
n
t
h
e
w
i
n
d
e
n
e
r
g
y
p
o
t
e
n
ti
a
l
i
n
Pe
k
a
n
b
a
r
u
t
o
s
u
p
p
o
r
t
t
h
e
s
y
s
te
m
d
e
s
i
g
n
.
T
h
e
i
n
f
o
r
m
a
ti
o
n
i
s
as
f
o
l
l
o
ws
:
-
W
in
d
tu
r
b
in
e
r
e
f
er
en
ce
m
o
d
el
=
AW
I
-
E
1
0
0
0
T
with
a
r
ad
iu
s
o
f
2
m
ete
r
s
.
-
W
in
d
s
p
ee
d
=
7
m
/s
(
m
ax
im
u
m
)
b
ased
o
n
T
ab
le
2
.
I
n
2
0
2
1
an
d
2
0
2
2
,
th
e
d
ata
tr
en
d
in
th
e
av
er
ag
e
s
ec
tio
n
h
as a
m
ax
im
u
m
win
d
s
p
ee
d
o
f
7
m
/s
.
-
C
p
=
0
.
3
9
(
m
ay
b
e
o
b
tain
e
d
th
eo
r
etica
lly
an
d
t
h
r
o
u
g
h
s
im
u
la
tio
n
s
)
.
-
=
7
(
m
a
y
b
e
o
b
tain
ed
t
h
e
o
r
etic
ally
an
d
th
r
o
u
g
h
s
im
u
latio
n
s
,
b
ased
o
n
r
e
p
o
r
t
r
ef
er
e
n
ce
)
.
-
=
2
4
.
5
r
ad
/s
(
o
b
tain
ed
th
r
o
u
g
h
=
).
-
=
0
d
eg
r
ee
s
win
d
tu
r
b
in
e
(
b
ased
o
n
t
h
e
co
n
s
id
er
atio
n
o
f
m
a
x
im
u
m
C
p
)
.
T
h
e
n
ex
t
s
tep
is
to
d
esig
n
a
w
in
d
p
o
wer
g
en
e
r
atio
n
s
y
s
tem
f
o
r
th
e
tu
r
b
in
e
s
y
s
tem
.
Af
ter
c
r
ea
tin
g
th
e
in
itial
d
esig
n
,
ar
tific
ial
in
telli
g
en
ce
is
u
s
ed
,
s
p
ec
if
ically
Si
m
u
lin
k
,
to
ex
ec
u
te
an
d
an
aly
z
e
th
e
d
esig
n
.
I
n
th
is
s
tep
,
m
o
d
el
v
alid
atio
n
s
ar
e
m
a
d
e
b
y
in
p
u
ttin
g
p
a
r
am
eter
s
f
r
o
m
p
r
ev
i
o
u
s
s
tu
d
ies
to
r
esu
lts
with
s
im
ilar
o
u
tp
u
t.
T
h
e
p
r
o
ce
s
s
an
d
an
aly
s
is
o
f
th
e
r
esu
lts
o
b
tain
ed
ar
e
cr
u
cial
s
tep
s
in
ev
alu
atin
g
th
e
s
y
s
te
m
'
s
p
er
f
o
r
m
an
ce
.
I
n
co
n
clu
s
io
n
,
th
e
a
n
aly
s
is
o
f
f
er
s
a
th
o
r
o
u
g
h
ev
alu
atio
n
o
f
th
e
p
o
ten
tial
an
d
p
e
r
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
win
d
p
o
wer
g
en
e
r
atio
n
s
y
s
tem
.
T
h
is
ap
p
r
o
ac
h
p
r
esen
ts
a
s
tr
u
ctu
r
ed
m
eth
o
d
f
o
r
ex
p
lo
r
in
g
a
n
d
s
o
lv
in
g
e
n
er
g
y
ch
allen
g
es in
Pek
an
b
a
r
u
,
with
an
em
p
h
asis
o
n
s
u
s
tain
ab
le
s
o
l
u
tio
n
s
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
Wind
t
urbin
e
des
ig
n
T
h
e
d
esig
n
o
f
th
e
win
d
tu
r
b
in
e
will
r
eq
u
ir
e
th
e
h
elp
o
f
o
t
h
e
r
web
s
ite
-
b
ased
d
ata
f
o
r
th
e
v
alu
e
o
f
th
e
v
elo
city
o
f
t
h
e
win
d
as
well
a
s
th
e
tu
r
b
in
e
s
p
ec
if
icatio
n
.
T
h
e
eq
u
atio
n
u
s
ed
f
o
r
d
esig
n
in
g
th
e
win
d
tu
r
b
in
e
is
as
(
1
)
[
3
1
]
.
=
1
2
2
3
(
,
)
(
1
)
I
n
(
1
)
,
P
m
is
th
e
m
ec
h
an
ical
p
o
wer
o
u
tp
u
t
(
W
)
,
R
is
th
e
b
lad
e
r
ad
iu
s
(
m
)
,
an
d
v
is
th
e
win
d
s
p
ee
d
(
m
/s
)
.
T
h
en
,
C
p
is
th
e
p
o
wer
co
ef
f
icien
t
i
n
d
icatin
g
c
o
n
v
e
r
s
io
n
ef
f
icien
cy
,
is
th
e
tip
s
p
ee
d
r
atio
b
etwe
en
b
lad
e
tip
s
p
ee
d
an
d
win
d
s
p
ee
d
.
T
h
e
v
ar
iab
le
o
f
is
th
e
p
itch
an
g
le,
wh
ich
co
n
tr
o
ls
th
e
b
lad
e’
s
o
r
ien
tatio
n
to
r
eg
u
late
p
o
wer
o
u
tp
u
t.
I
n
th
is
ca
s
e,
th
e
co
m
p
o
n
en
t
o
f
Sim
u
lin
k
is
in
teg
r
ated
b
ased
o
n
t
h
e
ab
o
v
e
e
q
u
atio
n
.
Su
b
s
y
s
tem
s
ar
e
r
eq
u
ir
ed
t
o
s
atis
f
y
th
e
eq
u
atio
n
o
f
s
ev
e
r
al
v
a
r
iab
les s
u
ch
as
an
d
C
p
as
(
2
)
.
=
(
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
2
,
J
u
n
e
20
25
:
1
3
4
1
-
1347
1344
I
n
(
2
)
s
a
tis
f
ies
t
h
e
r
at
io
o
f
w
in
d
tu
r
b
i
n
e
b
la
d
e
ti
p
v
e
lo
cit
y
t
o
th
e
wi
n
d
v
e
lo
cit
y
.
W
h
ils
t
is
als
o
af
f
e
cte
d
b
y
t
h
e
v
a
r
ia
b
l
e
w
h
i
ch
wil
l
ev
e
n
t
u
all
y
f
o
r
m
t
h
e
C
p
e
q
u
ati
o
n
,
g
i
v
e
n
as
(
3
)
[
2
4
]
,
[
3
1
]
.
1
=
1
+
0
.
08
.
−
0
.
035
1
+
3
(
3
)
W
ith
(
3
)
,
a
s
u
b
s
y
s
tem
is
m
ad
e.
B
ased
o
n
Fig
u
r
e
1
,
s
ev
e
r
al
b
lo
ck
s
in
Simu
lin
k
a
r
e
u
s
ed
as
a
m
ea
n
s
o
f
r
ep
r
esen
tin
g
th
e
v
ar
iab
le.
I
n
t
h
is
ca
s
e,
1
/(
u
[
1
]
+
0
.
0
8
*
u
[
2
]
)
–
0
.
0
3
5
/(
1
+u
[
2
]
^3
)
is
th
e
eq
u
atio
n
u
s
ed
in
wh
ich
u
[
1
]
as
(
lam
b
d
a)
an
d
u
[
2
]
as
(
b
eta)
.
Fin
ally
,
th
e
C
p
eq
u
atio
n
is
f
o
r
m
u
lated
(
a
cc
o
r
d
in
g
to
th
e
ap
p
r
o
x
im
atio
n
m
eth
o
d
b
y
[
3
2
]
-
[
3
5
]
)
as
s
h
o
wn
in
(
4
)
[
2
4
]
.
=
0
.
5176
(
116
−
0
.
4
.
−
5
)
−
(
21
)
+
0
.
0068
(
4
)
T
h
is
will
r
eq
u
ir
e
th
e
u
s
e
o
f
a
s
im
ilar
p
r
o
ce
d
u
r
e
with
th
e
p
r
i
o
r
u
s
in
g
b
lo
ck
s
th
at
r
e
p
r
esen
t
th
e
ab
o
v
e
eq
u
atio
n
,
tu
r
n
i
n
g
i
n
to
0
.
5
1
7
6
*
(
1
1
6
u
[
1
]
–
0
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4
*
u
[
2
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-
5
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6
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i
n
wh
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as
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[
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.
T
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e
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em
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g
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(
1
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,
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p
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Simu
lin
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ically
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u
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will
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e
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ad
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ile
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3
will
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e
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u
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e
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T
h
ese
o
u
tp
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ts
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en
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e
m
u
ltip
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u
s
in
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g
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et
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e
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T
h
e
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m
p
lete
s
y
s
tem
l
ay
o
u
t
is
illu
s
tr
ated
in
Fig
u
r
e
2
.
Fin
al
ly
,
th
ese
s
y
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tem
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n
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e
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o
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v
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es
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ler
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r
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e.
T
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ese
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n
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e
s
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n
Fig
u
r
e
3
.
Fig
u
r
e
1
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Su
b
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r
C
p
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atio
n
Fig
u
r
e
2
.
Deta
iled
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ea
k
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d
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r
b
i
n
e
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y
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tem
3
.
2
.
Resea
rc
h
a
na
ly
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is
B
ased
o
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th
e
win
d
tu
r
b
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e
d
esig
n
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lts
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en
er
ated
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s
in
g
MA
T
L
AB
Simu
lin
k
,
as
illu
s
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ated
in
Fig
u
r
e
4
,
an
an
aly
s
is
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n
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e
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o
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d
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cte
d
.
Usi
n
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e
tech
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ical
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ata
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d
(
1
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,
th
e
s
y
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tem
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ates th
e
m
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h
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ical
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wer
o
u
tp
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t o
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th
e
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r
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n
e
to
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e
1
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1
9
1
watts.
A
d
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n
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e
to
r
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e
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n
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e
d
eter
m
in
ed
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s
in
g
(
5
)
[
2
4
]
.
=
(
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
Dr
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s
t
I
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N:
2088
-
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[
3
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a
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eg
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with
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eg
r
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eta
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ased
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r
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s
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im
ilar
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at
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at
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ax
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m
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ld
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e
in
0
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eg
r
ee
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[
3
1
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[
3
7
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,
[
3
8
]
.
I
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itio
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e
C
p
o
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tain
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th
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o
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g
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r
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ld
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n
d
0
.
4
5
,
as sh
o
w
n
in
Fig
u
r
e
4
[
3
9
]
.
Ov
er
all,
th
e
s
im
u
latio
n
r
esu
lt
is
ca
teg
o
r
ized
as
a
s
m
all
o
u
tp
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t
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ased
o
n
t
h
e
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o
m
m
en
d
atio
n
in
[
2
9
]
,
v
o
ltag
e
ca
n
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e
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e
n
e
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ated
b
y
win
d
p
o
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r
g
e
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er
atio
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tem
s
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ee
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o
f
2
.
5
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/s
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ile
in
th
is
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s
e,
th
e
m
ax
im
u
m
is
7
m
/s
f
r
o
m
t
h
e
d
ata
o
f
Pek
an
b
ar
u
win
d
v
e
lo
city
)
in
wh
ich
t
h
is
r
esu
lt
ca
n
b
e
r
ec
o
m
m
en
d
e
d
f
o
r
s
m
all
-
s
ca
le
elec
tr
icity
n
ee
d
s
[
2
9
]
.
T
h
is
is
also
s
u
p
p
o
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te
d
b
y
th
e
f
in
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in
g
th
at
th
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wer
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ef
f
icien
t
is
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m
all
(
ef
f
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cy
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,
an
d
th
e
win
d
d
ir
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th
is
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d
ar
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o
t
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ig
h
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Fin
ally
,
it
is
also
n
e
ce
s
s
ar
y
to
co
n
s
id
er
o
th
er
f
ac
to
r
s
s
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ch
as g
eo
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r
ap
h
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p
r
o
x
im
ity
to
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en
ts
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en
v
i
r
o
n
m
en
tal
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a
n
d
n
o
is
e
im
p
ac
ts
.
Fig
u
r
e
3
.
Simp
lifie
d
win
d
tu
r
b
in
e
s
y
s
tem
Fig
u
r
e
4
.
T
y
p
ical
C
p
(
,
)
v
ar
iatio
n
g
r
ap
h
[
3
9
]
4.
CO
NCLU
SI
O
N
T
h
is
r
esear
ch
p
r
esen
ts
th
e
s
im
u
latio
n
r
esu
lts
o
f
a
s
p
ec
if
ic
win
d
p
o
wer
g
en
er
atio
n
s
y
s
tem
,
p
ar
ticu
lar
ly
f
o
cu
s
in
g
o
n
t
h
e
tu
r
b
in
e
s
y
s
tem
,
u
s
in
g
th
e
eq
u
atio
n
=
1
2
2
3
(
,
)
.
C
o
n
s
id
er
in
g
tech
n
ical
d
ata,
th
e
o
u
tco
m
e
i
n
d
icate
s
a
m
ec
h
a
n
ical
p
o
wer
o
f
1
,
1
9
1
watts
an
d
a
to
r
q
u
e
o
f
4
8
.
6
3
Nm
.
T
h
is
s
u
g
g
ests
s
u
itab
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y
f
o
r
s
m
all
-
s
ca
le
elec
tr
icity
n
ee
d
s
.
Fo
r
f
u
tu
r
e
r
esear
ch
,
it
is
r
ec
o
m
m
en
d
ed
to
co
n
s
id
er
f
ac
to
r
s
s
u
ch
as
u
p
d
ate
d
win
d
s
p
ee
d
d
ata
in
Pek
an
b
ar
u
a
n
d
en
h
an
cin
g
th
e
Simu
lin
k
s
y
s
te
m
b
y
in
c
o
r
p
o
r
atin
g
ad
d
itio
n
al
c
o
m
p
o
n
en
ts
lik
e
g
en
er
ato
r
s
a
n
d
b
atter
ies,
alo
n
g
with
t
h
eir
ef
f
icien
cy
,
in
clu
d
in
g
t
r
an
s
m
is
s
io
n
.
Fu
r
th
er
m
o
r
e
,
co
n
d
u
ctin
g
a
c
o
m
p
r
eh
en
s
iv
e
ec
o
n
o
m
ic
an
aly
s
is
b
y
ev
alu
atin
g
d
if
f
er
en
t
tu
r
b
in
e
ty
p
es,
p
r
o
d
u
ct
r
an
g
es,
in
v
estme
n
t
c
o
s
ts
,
an
d
th
e
r
esu
ltin
g
b
en
ef
its
co
u
l
d
p
r
o
v
id
e
d
ee
p
e
r
in
s
ig
h
ts
in
to
th
e
f
ea
s
ib
ilit
y
an
d
o
p
tim
izatio
n
o
f
win
d
p
o
wer
s
y
s
tem
s
.
Ad
d
itio
n
ally
,
in
te
g
r
atin
g
e
n
v
ir
o
n
m
en
tal
im
p
ac
t
ass
es
s
m
en
ts
an
d
ex
p
lo
r
in
g
h
y
b
r
id
s
y
s
tem
s
co
m
b
in
in
g
win
d
with
o
t
h
er
r
e
n
ewa
b
le
en
er
g
y
s
o
u
r
ce
s
co
u
ld
f
u
r
th
e
r
en
h
a
n
c
e
th
e
s
u
s
tain
ab
ilit
y
an
d
ef
f
ec
tiv
en
es
s
o
f
r
en
ewa
b
le
e
n
er
g
y
s
o
lu
tio
n
s
.
ACK
NO
WL
E
DG
E
M
E
NT
S
W
e
wo
u
ld
lik
e
to
ex
p
r
ess
o
u
r
g
r
atitu
d
e
to
Mu
ltime
d
ia
Nu
s
an
tar
a
Un
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er
s
ity
f
o
r
p
r
o
v
id
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g
th
e
f
ac
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ies
th
at
h
av
e
s
u
p
p
o
r
ted
th
is
r
esear
ch
.
T
h
eir
r
eso
u
r
ce
s
an
d
s
u
p
p
o
r
t
h
a
v
e
b
ee
n
in
v
alu
ab
le
th
r
o
u
g
h
o
u
t
o
u
r
wo
r
k
.
W
e
ar
e
d
ee
p
ly
ap
p
r
e
ciativ
e
o
f
th
e
u
n
iv
er
s
ity
'
s
c
o
m
m
itm
en
t
to
f
o
s
ter
in
g
ac
a
d
em
ic
r
esear
ch
an
d
in
n
o
v
atio
n
.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
Au
th
o
r
s
s
tate
th
at
th
e
f
u
n
d
in
g
is
p
r
o
v
id
ed
b
y
Un
i
v
er
s
itas
Mu
ltime
d
ia
Nu
s
an
tar
a.
AUTHO
R
CO
NT
RI
B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
t
r
ib
u
to
r
R
o
les
T
a
x
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
i
d
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
llab
o
r
atio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
2
,
J
u
n
e
20
25
:
1
3
4
1
-
1347
1346
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Nich
o
las Pr
an
ata
✓
✓
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✓
✓
✓
✓
✓
✓
✓
Fah
m
y
R
in
an
d
a S
ap
u
tr
i
✓
✓
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✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
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n
M
:
M
e
t
h
o
d
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y
So
:
So
f
t
w
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Va
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Va
l
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d
a
t
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Fo
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mal
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n
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e
so
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D
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[
2
7
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2
8
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9
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3
3
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3
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3
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3
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