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1
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2
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4
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.
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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4856
IJ
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Vo
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1
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Ma
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20
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59
–
66
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th
e
es
ti
m
ated
to
r
q
u
e
an
d
m
ea
s
u
r
ed
m
ac
h
in
e
s
p
ee
d
(
s
u
r
f
ac
e
f
u
n
ctio
n
in
v
er
s
io
n
)
.
I
n
th
is
p
ap
er
,
th
e
MP
P
T
alg
o
r
ith
m
is
b
ased
o
n
th
e
s
lo
p
e
o
f
th
e
w
i
n
d
-
t
u
r
b
in
e
m
ec
h
an
ical
p
o
w
er
v
er
s
u
s
r
o
tatio
n
s
p
ee
d
.
T
h
e
A
N
N
esti
m
ato
r
an
d
th
e
p
r
e
d
ictiv
e
co
n
tr
o
ller
o
f
th
e
b
o
o
s
t
co
n
v
er
ter
ar
e
i
m
p
le
m
en
ted
to
g
et
h
er
f
o
r
im
p
r
o
v
in
g
th
e
ac
c
u
r
ac
y
an
d
f
ast
n
ess
co
m
p
ar
ed
to
tr
ad
it
io
n
al
m
et
h
o
d
s
.
T
h
e
u
n
ce
r
tai
n
tie
s
in
t
h
e
w
i
n
d
tu
r
b
in
e
s
y
s
te
m
ar
e
est
i
m
a
ted
b
y
n
e
u
r
al
-
n
et
w
o
r
k
a
n
d
th
e
d
u
t
y
c
y
cle
o
f
d
c/d
c
co
n
v
er
ter
is
d
eter
m
i
n
ed
b
y
a
p
r
ed
ictiv
e
co
n
tr
o
ller
.
T
h
e
p
ap
er
is
o
r
g
an
ized
as
f
o
llo
w
s
:
in
s
ec
tio
n
2
,
t
h
e
w
i
n
d
tu
r
b
in
e
an
d
its
ch
ar
ac
ter
i
s
tic
s
ar
e
d
escr
ib
ed
.
I
n
s
ec
tio
n
3
th
e
p
r
o
p
o
s
ed
m
eth
o
d
is
illu
s
tr
ated
.
Fin
all
y
,
Si
m
u
latio
n
an
d
r
es
u
lts
ar
e
d
o
n
e
in
s
ec
tio
n
4
.
2.
DE
SCR
I
P
T
I
O
N
O
F
WI
ND
T
URB
I
N
E
T
h
e
m
ain
p
ar
ts
o
f
t
h
e
w
i
n
d
co
n
v
er
s
io
n
s
y
s
te
m
s
ar
e:
w
i
n
d
tu
r
b
i
n
e,
g
e
n
er
ato
r
,
r
ec
tif
i
er
,
d
c/d
c
co
n
v
er
ter
,
an
d
co
n
tr
o
l u
n
it.
Fo
r
a
w
in
d
t
u
r
b
in
e,
th
e
w
i
n
d
p
o
w
er
ca
n
b
e
ex
p
r
es
s
ed
as
E
q
u
at
io
n
(
1
)
.
3
2
1
w
w
i
n
d
AV
P
(
1
)
W
h
er
e
ρ
is
th
e
air
d
en
s
it
y
,
A
is
th
e
tu
r
b
in
e
b
lad
e
s
w
ee
p
ar
ea
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d
V
w
is
th
e
w
i
n
d
s
p
ee
d
.
I
f
th
e
f
r
ictio
n
b
e
n
eg
lec
ted
,
m
ec
h
a
n
ical
c
h
ar
ac
t
er
is
tics
o
f
a
t
u
r
b
in
e
ca
n
b
e
o
b
t
ain
ed
as E
q
u
atio
n
(2
-
4
)
.
dt
d
J
T
T
L
o
a
d
m
(
2
)
dt
d
J
P
P
L
o
a
d
m
(
3
)
3
)
,
(
5
.
0
V
A
C
P
p
m
(
4
)
W
h
er
e
T
m
i
s
t
h
e
m
ec
h
an
ica
l
t
o
r
q
u
e
o
f
t
h
e
t
u
r
b
in
e,
T
load
is
t
h
e
lo
ad
to
r
q
u
e,
J
is
t
h
e
in
er
tia
o
f
t
h
e
to
tal
s
y
s
te
m
,
ω
is
th
e
a
n
g
u
lar
s
p
ee
d
o
f
t
h
e
r
o
to
r
,
P
m
is
th
e
m
ec
h
a
n
ical
p
o
w
er
o
f
tu
r
b
i
n
e,
V
i
s
t
h
e
w
in
d
s
p
ee
d
,
C
p
is
th
e
t
u
r
b
in
e
p
o
w
er
co
e
f
f
ic
ien
t,
λ
is
t
h
e
b
lad
e
t
ip
s
p
ee
d
r
atio
an
d
β
is
t
h
e
b
lad
e
p
itch
a
n
g
le.
I
n
(
4
)
,
λ
is
d
ef
i
n
ed
as
E
q
u
atio
n
(
5
)
.
w
V
r
(
5
)
W
h
er
e
r
is
th
e
w
i
n
d
-
t
u
r
b
in
e
b
l
ad
e
len
g
t
h
an
d
ω
is
t
h
e
w
i
n
d
t
u
r
b
in
e
r
o
tatio
n
s
p
ee
d
.
C
p
i
s
th
e
f
u
n
ctio
n
o
f
th
e
tip
s
p
ee
d
r
atio
λ
an
d
t
h
e
b
lad
e
p
itch
an
g
le
β
a
s
s
h
o
w
n
i
n
E
q
u
atio
n
(
6
)
.
T
h
e
t
y
p
ical
f
u
n
ctio
n
is
[
1
6
]
.
Fig
u
r
e
1
s
h
o
w
s
t
h
at
at
d
i
f
f
er
e
n
t b
lad
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an
g
les,
t
h
e
p
o
w
er
co
ef
f
icien
t
v
ar
y
w
it
h
tip
s
p
ee
d
r
atio
[
1
7
]
.
3
1
0
0
3
5
.
0
08
.
0
1
1
0
0
6
8
.
0
21
5
4
.
0
1
1
6
5
1
7
6
.
0
)
,
(
i
i
i
p
w
h
e
r
e
C
(
6
)
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
RA
I
SS
N:
2089
-
4856
Ma
ximu
m
W
in
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h
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61
I
f
β
is
at
a
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i
v
en
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C
p
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m
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f
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Fi
g
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r
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2
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f
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i
s
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ax
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t
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t p
o
w
er
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ill b
e
m
a
x
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m
ized
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Fig
u
r
e
1
.
W
in
d
tu
r
b
in
e
p
o
w
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co
ef
f
icie
n
t o
f
a
w
in
d
tu
r
b
in
e
[
1
7
]
Fig
u
r
e
2
.
P
o
w
er
ch
ar
ac
ter
is
tic
o
f
a
w
i
n
d
tu
r
b
i
n
e
[1
7
]
3.
P
RO
P
O
SE
D
WI
ND
G
E
N
E
RATI
O
N
SYS
T
E
M
a
nd
CO
NT
RO
L
P
R
I
NC
I
P
L
E
I
n
th
i
s
s
ec
tio
n
,
it
is
e
x
p
lai
n
ed
th
e
r
esu
lts
o
f
r
esear
ch
an
d
at
th
e
s
a
m
e
ti
m
e
is
g
iv
e
n
t
h
e
co
m
p
r
e
h
en
s
iv
e
d
is
c
u
s
s
io
n
.
R
e
s
u
lt
s
ca
n
b
e
p
r
ese
n
ted
i
n
f
i
g
u
r
es,
g
r
ap
h
s
,
tab
le
s
a
n
d
o
th
er
s
t
h
at
m
a
k
e
t
h
e
r
ea
d
er
u
n
d
er
s
ta
n
d
ea
s
il
y
[
3
]
,
[
9
]
.
T
h
e
d
is
cu
s
s
io
n
ca
n
b
e
m
ad
e
in
s
ev
er
al
s
u
b
-
ch
ap
ter
s
.
I
n
w
i
n
d
g
en
er
atio
n
s
y
s
te
m
s
,
th
e
o
u
tp
u
t p
o
w
er
v
ar
ies b
y
t
h
e
w
in
d
v
elo
cit
y
.
I
n
o
r
d
er
to
o
b
tain
t
h
e
m
a
x
i
m
u
m
p
o
w
er
,
w
i
n
d
g
e
n
er
atio
n
s
y
s
te
m
s
h
o
u
ld
o
p
er
ate
in
v
ar
iab
le
s
p
ee
d
s
tate.
T
o
o
p
er
ate
in
th
is
ca
s
e,
it
is
n
ec
e
s
s
ar
y
to
s
ep
ar
ate
th
e
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e
n
er
atio
n
p
ar
t
o
f
th
e
s
y
s
te
m
f
r
o
m
t
h
e
co
n
s
u
m
p
tio
n
p
ar
t.
So
,
th
r
ee
p
h
as
e
v
o
ltag
e
o
f
P
MSG
g
en
er
ato
r
is
r
ec
tif
ied
b
y
th
e
AC
/D
C
r
ec
tif
ier
.
Fro
m
t
h
e
E
q
u
atio
n
(
4
)
an
d
(
5
)
,
it
ca
n
b
e
s
ee
n
th
at
t
h
e
m
a
x
i
m
u
m
tu
r
b
i
n
e
p
o
w
er
an
d
t
h
e
co
r
r
esp
o
n
d
in
g
t
u
r
b
in
e
r
o
to
r
s
p
ee
d
ar
e
p
r
o
p
o
r
tio
n
al
to
w
i
n
d
v
elo
cit
y
.
He
n
ce
t
h
e
w
i
n
d
tu
r
b
in
e
g
en
er
atio
n
s
y
s
te
m
co
u
ld
b
e
co
n
tr
o
lled
b
y
ch
a
n
g
i
n
g
th
e
r
o
to
r
s
p
ee
d
p
r
o
p
o
r
ti
o
n
al
to
w
in
d
s
p
ee
d
to
o
b
tain
m
a
x
i
m
u
m
p
o
w
er
.
T
h
er
ef
o
r
e,
th
e
w
i
n
d
v
elo
cit
y
h
as
a
n
i
m
p
o
r
tan
t
r
o
le
in
th
e
MP
PT
alg
o
r
ith
m
.
T
h
e
d
y
n
a
m
ics
o
f
w
i
n
d
tu
r
b
in
e
g
en
er
atio
n
s
y
s
te
m
is
d
escr
ib
ed
as
Eq
u
atio
n
(
7
)
.
dt
d
dt
d
J
dt
d
J
d
dP
d
dP
r
r
r
r
r
m
r
e
2
2
(
7
)
W
h
er
e
J
is
th
e
s
y
s
te
m
in
er
tia
a
n
d
P
e
is
g
en
er
ato
r
p
o
w
er
.
Fig
u
r
e
3
p
r
esen
ts
th
e
p
r
o
p
o
s
ed
w
in
d
t
u
r
b
in
e
d
r
iv
e
n
P
MSG
an
d
its
co
n
tr
o
ller
.
T
h
is
s
y
s
te
m
in
clu
d
es
a
P
MSG
d
r
iv
en
b
y
a
w
i
n
d
tu
r
b
i
n
e,
an
AC
/
DC
r
ec
ti
f
ier
,
a
n
ar
t
if
icial
n
e
u
r
al
n
e
t
w
o
r
k
es
ti
m
at
o
r
,
b
o
o
s
t
co
n
v
er
ter
an
d
its
p
r
ed
ictiv
e
co
n
tr
o
ller
.
F
ir
s
tl
y
,
th
e
A
NN
e
s
ti
m
ato
r
p
r
ed
icts
t
h
e
w
i
n
d
s
p
ee
d
.
T
h
en
,
b
as
ed
o
n
th
e
o
b
tain
ed
w
i
n
d
s
p
ee
d
,
th
e
w
i
n
d
t
u
r
b
in
e
d
r
iv
es th
e
P
MSG.
Fin
a
ll
y
,
t
h
e
p
r
ed
ictiv
e
co
n
tr
o
ller
co
n
tr
o
ls
t
h
e
d
u
t
y
c
y
c
le
b
o
o
s
t
co
n
v
er
ter
to
o
b
tain
th
e
m
ax
i
m
u
m
e
f
f
icie
n
c
y
.
W
i
n
d
T
u
r
b
i
n
e
P
M
S
G
A
C
/
D
C
R
c
t
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f
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B
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r
&
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t
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l
e
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D
A
N
N
E
s
t
i
m
a
t
o
r
P
m
ω
r
V
w
Fig
u
r
e
3
.
T
h
e
p
r
o
p
o
s
ed
w
i
n
d
g
en
er
atio
n
s
y
s
te
m
a
n
d
its
co
n
t
r
o
ller
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4856
IJ
RA
Vo
l.
7
,
No
.
1
,
Ma
r
ch
20
1
8
:
59
–
66
62
3
.
1
.
Wind
Velo
cit
y
E
s
t
i
m
a
t
io
n
by
ANN
T
h
e
p
r
o
p
o
s
ed
n
eu
r
al
n
et
w
o
r
k
is
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s
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to
esti
m
ate
th
e
f
a
s
t
an
d
ac
cu
r
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Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
RA
I
SS
N:
2089
-
4856
Ma
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
9
-
4856
IJ
RA
Vo
l.
7
,
No
.
1
,
Ma
r
ch
20
1
8
:
59
–
66
66
RE
F
E
R
E
NC
E
S
[1
]
L
.
H.
Ha
n
se
n
,
e
t
a
l.
,
"
Co
n
c
e
p
t
u
a
l
su
rv
e
y
o
f
g
e
n
e
ra
to
rs
a
n
d
p
o
w
e
r
e
lec
tro
n
ics
f
o
r
w
in
d
tu
r
b
i
n
e
s,"
Rep
.
No
.
8
7
5
5
0
2
7
4
3
1
,
2
0
0
2
.
[2
]
S
.
A
.
G
a
w
ish
,
e
t
a
l.
,
"
V
o
lt
a
g
e
S
tab
il
iza
ti
o
n
o
f
a
W
in
d
T
u
rb
in
e
w
it
h
S
TAT
COM
Us
in
g
In
te
ll
ig
e
n
t
Co
n
tr
o
l
T
e
c
h
n
iq
u
e
s,"
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
in
e
e
rin
g
a
n
d
In
f
o
rm
a
ti
c
s (
IJ
EE
I)
,
v
o
l.
4
,
p
p
.
2
4
-
3
4
,
2
0
1
6
.
[3
]
M.
-
F
.
T
sa
i,
e
t
a
l.
,
"
A
No
v
e
l
M
P
P
T
Co
n
tr
o
l
De
sig
n
f
o
r
W
in
d
-
T
u
rb
in
e
G
e
n
e
ra
ti
o
n
S
y
ste
m
s
Us
in
g
Ne
u
ra
l
Ne
t
w
o
rk
Co
m
p
e
n
sa
to
r,
"
IECON
2
0
1
2
-
3
8
t
h
An
n
u
a
l
C
o
n
fer
e
n
c
e
o
n
IEE
E
I
n
d
u
stri
a
l
El
e
c
tro
n
ics
S
o
c
iety
,
IE
EE
,
p
p
.
3
5
2
1
-
3
5
2
6
,
2
0
1
2
.
[4
]
A
.
Zar
e
,
e
t
a
l.
,
"
A
d
a
p
ti
v
e
Ro
b
u
st
Co
n
tro
l
o
f
V
a
riab
le
S
p
e
e
d
W
in
d
T
u
rb
i
n
e
G
e
n
e
ra
to
r
,
"
Bu
ll
e
ti
n
o
f
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
I
n
fo
rm
a
ti
c
s
,
v
o
l.
4
,
p
p
.
1
9
6
-
2
0
3
,
2
0
1
6
.
[5
]
D.
V
.
N.
A
n
a
n
th
,
e
t
a
l.
,
"
F
lu
x
B
a
se
d
S
e
n
so
rles
s
S
p
e
e
d
S
e
n
sin
g
a
n
d
Re
a
l
a
n
d
Re
a
c
ti
v
e
P
o
w
e
r
F
lo
w
Co
n
tro
l
w
it
h
L
o
o
k
-
u
p
T
a
b
le
b
a
se
d
M
a
x
im
u
m
P
o
w
e
r
P
o
i
n
t
T
ra
c
k
in
g
Tec
h
n
iq
u
e
f
o
r
G
rid
Co
n
n
e
c
ted
Do
u
b
ly
F
e
d
In
d
u
c
ti
o
n
G
e
n
e
r
a
to
r
,"
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
E
n
g
i
n
e
e
rin
g
a
n
d
I
n
fo
rm
a
ti
c
s (
IJ
EE
I)
,
v
o
l
.
3
,
p
p
.
2
3
9
-
2
6
0
,
2
0
1
5
.
[6
]
R.
A
li
k
,
e
t
a
l.
,
"
A
R
e
v
ie
w
o
n
P
e
rtu
rb
a
n
d
Ob
se
rv
e
M
a
x
i
m
u
m
P
o
w
e
r
P
o
i
n
t
T
ra
c
k
in
g
in
P
h
o
t
o
v
o
lt
a
ic
S
y
st
e
m
,"
T
EL
KOM
NIKA
(
T
e
lec
o
mm
u
n
ica
t
io
n
C
o
mp
u
ti
n
g
E
lec
tro
n
ics
a
n
d
C
o
n
tro
l)
,
v
o
l
.
1
3
,
p
p
.
7
4
5
-
7
5
1
,
2
0
1
5
.
[7
]
S
.
Bh
o
w
m
i
k
,
e
t
a
l.
,
"
P
e
rf
o
rm
a
n
c
e
Op
ti
m
iza
ti
o
n
f
o
r
Do
u
b
ly
F
e
d
W
in
d
P
o
w
e
r
G
e
n
e
ra
ti
o
n
S
y
ste
m
s,
"
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
d
u
stry
A
p
p
li
c
a
ti
o
n
s
,
v
o
l.
3
5
,
p
p
.
9
4
9
-
9
5
8
,
1
9
9
9
.
[8
]
M
.
Ch
in
c
h
il
la,
e
t
a
l.
,
"
Co
n
tr
o
l
o
f
P
e
rm
a
n
e
n
t
-
M
a
g
n
e
t
Ge
n
e
ra
to
rs
Ap
p
li
e
d
to
V
a
riab
le
-
S
p
e
e
d
W
in
d
-
E
n
e
rg
y
S
y
ste
m
s
Co
n
n
e
c
ted
to
th
e
G
rid
,
"
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
E
n
e
rg
y
Co
n
v
e
rs
io
n
,
v
o
l.
2
1
,
p
p
.
1
3
0
-
1
3
5
,
2
0
0
6
.
[9
]
H.
L
i,
e
t
a
l.
,
"
N
e
u
ra
l
-
Ne
t
w
o
rk
-
Ba
se
d
S
e
n
so
rles
s
M
a
x
i
m
u
m
W
i
n
d
En
e
rg
y
C
a
p
tu
re
W
it
h
Co
m
p
e
n
sa
ted
P
o
w
e
r
Co
e
ff
icie
n
t,
"
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
I
n
d
u
stry
Ap
p
li
c
a
t
io
n
s,
v
o
l.
4
1
,
p
p
.
1
5
4
8
-
1
5
5
6
,
2
0
0
5
.
[1
0
]
R,
Ch
e
d
i
d
,
e
t
a
l.
,
"
In
tell
ig
e
n
t
C
o
n
tr
o
l
o
f
a
Clas
s
o
f
W
in
d
En
e
rg
y
Co
n
v
e
rsio
n
S
y
ste
m
s,"
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
En
e
rg
y
Co
n
v
e
rs
io
n
,
v
o
l
.
1
4
,
p
p
.
1
5
9
7
-
1
6
0
4
,
1
9
9
9
.
[1
1
]
R.
Hill
o
o
w
a
la,
e
t
a
l.
,
"
A
Ru
le
-
Ba
se
d
F
u
z
z
y
L
o
g
ic
Co
n
tro
ll
e
r
f
o
r
a
P
W
M
In
v
e
rter
in
a
S
tan
d
A
lo
n
e
W
in
d
En
e
rg
y
Co
n
v
e
rsio
n
S
c
h
e
m
e
,
"
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
d
u
stry
A
p
p
li
c
a
ti
o
n
s
,
v
o
l.
3
2
,
p
p
.
5
7
-
6
5
,
1
9
9
6
.
[1
2
]
K.
T
a
n
,
e
t
a
l.
,
"
Op
ti
m
u
m
Co
n
tro
l
S
trate
g
ies
in
En
e
rg
y
Co
n
v
e
rs
io
n
o
f
P
M
S
G
W
i
n
d
T
u
rb
in
e
S
y
ste
m
W
it
h
o
u
t
M
e
c
h
a
n
ica
l
S
e
n
so
rs,"
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
En
e
rg
y
C
o
n
v
e
rs
io
n
,
v
o
l.
1
9
,
iss.
2
,
p
p
.
3
9
2
-
3
9
9
,
2
0
0
4
.
[1
3
]
M
.
G
.
S
i
m
o
e
s,
e
t
a
l.
,
"
F
u
z
z
y
L
o
g
ic
Ba
se
d
In
telli
g
e
n
t
Co
n
tro
l
o
f
a
V
a
riab
le
S
p
e
e
d
Ca
g
e
M
a
c
h
in
e
Wi
n
d
G
e
n
e
ra
ti
o
n
S
y
st
e
m
,
"
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
P
o
we
r E
lec
tro
n
ics
,
v
o
l
.
1
2
,
p
p
.
8
7
-
9
5
,
1
9
9
7
.
[1
4
]
C.
-
Y.
L
e
e
,
e
t
a
l.
,
"
Ne
u
ra
l
Ne
tw
o
rk
s
a
n
d
P
a
rti
c
le
S
w
a
r
m
Op
ti
m
iz
a
ti
o
n
Ba
se
d
M
P
P
T
f
o
r
S
m
a
ll
W
in
d
P
o
w
e
r
G
e
n
e
r
a
to
r,
"
W
o
rld
Aca
d
e
my
o
f
S
c
ien
c
e
,
En
g
in
e
e
rin
g
a
n
d
T
e
c
h
n
o
lo
g
y
,
v
o
l.
6
0
,
p
p
.
1
7
-
2
3
,
2
0
0
9
.
[
1
5
]
A
.
M
e
h
a
rra
r,
e
t
a
l.
,
"
A
V
a
riab
le
S
p
e
e
d
W
in
d
G
e
n
e
ra
to
r
M
a
x
i
m
u
m
P
o
w
e
r
T
r
a
c
k
in
g
Ba
s
e
d
o
n
A
d
a
p
tativ
e
Ne
u
ro
-
F
u
z
z
y
In
f
e
re
n
c
e
S
y
ste
m
,
"
Exp
e
rt
S
y
ste
ms
wit
h
Ap
p
li
c
a
ti
o
n
s,
v
o
l
.
3
8
,
p
p
.
7
6
5
9
-
7
6
6
4
,
2
0
1
1
.
[1
6
]
M
.
P
u
c
c
i,
e
t
a
l.
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s.
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