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2020
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p
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8708
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3927
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5
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I
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8
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I
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C
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p
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g
,
Vo
l.
10
,
No
.
4
,
A
u
g
u
s
t
2020
:
3
9
2
7
-
3935
3928
ti
m
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[
9
,
1
1
-
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3
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alg
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r
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[
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1
4
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th
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d
v
ar
iab
les
c
h
a
n
g
e
r
ap
id
l
y
,
t
h
e
m
a
x
i
m
u
m
p
o
w
er
p
o
i
n
t c
a
n
n
o
t
b
e
f
o
u
n
d
.
A
d
d
itio
n
al
l
y
,
c
h
o
o
s
i
n
g
an
o
p
tim
al
s
tep
-
s
ize
i
s
n
o
t a
n
ea
s
y
ta
s
k
w
h
e
n
t
h
e
s
y
s
te
m
h
as
a
lar
g
e
i
n
er
tia.
T
h
e
tr
ad
itio
n
al
MP
P
T
alg
o
r
ith
m
i
s
i
m
p
r
o
v
ed
i
n
s
tu
d
ie
s
[
8
,
1
1
,
1
4
,
1
7
]
.
T
h
ese
m
e
th
o
d
s
ar
e
a
co
m
b
i
n
atio
n
o
f
co
n
v
en
tio
n
a
l
an
d
n
o
n
li
n
ea
r
al
g
o
r
ith
m
s
.
I
t
ca
n
ch
an
g
e
q
u
ic
k
l
y
t
h
e
s
tep
-
s
ize
to
r
esp
o
n
s
e
to
th
e
o
u
tp
u
t
c
h
an
g
e
o
f
t
h
e
alg
o
r
ith
m
.
Ho
w
ev
er
,
th
e
s
e
i
m
p
r
o
v
ed
alg
o
r
ith
m
s
h
a
v
e
to
o
f
f
er
m
a
n
y
ca
s
es
f
o
r
co
m
p
ar
is
o
n
,
s
o
t
h
e
p
r
o
g
r
a
m
m
e
m
o
r
y
o
f
th
e
alg
o
r
it
h
m
is
l
ar
g
e
an
d
t
h
e
p
r
o
ce
s
s
i
n
g
s
p
ee
d
o
f
th
e
co
n
tr
o
ller
is
d
ec
r
ea
s
ed
.
So
m
e
s
tu
d
ie
s
[
1
8
]
-
[
2
0
]
p
r
o
p
o
s
ed
a
co
m
b
in
ati
o
n
o
f
co
n
v
en
tio
n
al
al
g
o
r
ith
m
s
a
n
d
th
e
n
e
u
r
al
n
et
w
o
r
k
.
T
h
e
ad
v
an
ta
g
es
o
f
th
e
n
e
u
r
al
n
e
t
w
o
r
k
ar
e
th
at
t
h
e
ab
ilit
y
to
lea
r
n
is
q
u
ic
k
a
n
d
it
d
o
esn
'
t
n
ee
d
th
e
o
b
j
ec
t
m
o
d
el.
Ho
w
e
v
er
,
t
h
e
d
o
w
n
s
id
e
o
f
th
is
m
et
h
o
d
is
t
h
e
s
lo
w
ab
ilit
y
to
ca
lc
u
late
t
h
e
s
tep
-
si
ze
,
s
o
i
t
is
d
if
f
ic
u
lt to
ap
p
l
y
i
n
p
r
ac
tice.
T
h
e
f
u
zz
y
lo
g
ic
al
g
o
r
ith
m
h
a
s
ad
v
an
ta
g
es
s
u
ch
as
ab
le
to
ap
p
ly
th
e
k
n
o
w
led
g
e
o
f
t
h
e
ex
p
er
t
to
th
e
w
i
n
d
t
u
r
b
in
e
s
y
s
te
m
,
f
ast
r
esp
o
n
s
e
al
g
o
r
ith
m
,
h
i
g
h
f
le
x
i
b
le
an
d
d
o
n
'
t
n
ee
d
to
k
n
o
w
th
e
m
at
h
eq
u
atio
n
o
f
w
i
n
d
tu
r
b
in
e
s
y
s
te
m
[
5
,
1
6
,
2
1
]
.
T
h
er
ef
o
r
e,
th
is
s
tu
d
y
w
ill
d
esig
n
an
MP
PT
co
n
tr
o
ller
u
s
in
g
f
u
zz
y
lo
g
ic
f
o
r
SS
W
T
.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
w
ill
tak
e
t
w
o
s
i
g
n
als
to
cr
ea
te
s
tep
-
s
ize:
t
h
e
p
o
w
er
o
f
th
e
w
i
n
d
tu
r
b
i
n
e
an
d
th
e
s
p
ee
d
o
f
t
h
e
g
e
n
er
ato
r
.
T
h
ese
t
w
o
s
i
g
n
als
ar
e
co
m
p
ar
ed
to
cr
ea
te
s
tep
-
s
ize
f
o
r
th
e
co
n
tr
o
ller
.
T
h
en
,
th
e
f
u
zz
y
co
n
tr
o
ller
g
i
v
es
th
e
o
p
ti
m
al
s
tep
f
o
r
th
e
s
y
s
te
m
.
T
h
is
p
r
o
p
o
s
ed
alg
o
r
ith
m
w
il
l
co
m
p
ar
e
w
it
h
th
e
co
n
v
en
t
io
n
al
al
g
o
r
ith
m
H
C
S
t
h
r
o
u
g
h
t
h
e
s
i
m
u
la
tio
n
s
o
f
t
w
ar
e
Ma
tlab
/S
i
m
u
li
n
k
to
p
r
o
v
e
th
e
ad
v
a
n
ta
g
es
o
f
th
e
p
r
o
p
o
s
ed
M
P
PT
-
f
u
zz
y
co
n
tr
o
ller
.
2.
T
H
E
SY
ST
E
M
ST
RUCT
UR
E
O
F
SS
W
T
2
.
1
.
T
he
w
ind
t
urbin
e
m
o
de
l
T
h
e
p
o
w
er
o
f
t
h
e
w
in
d
t
u
r
b
in
e
is
ca
lcu
lated
b
y
(
1
)
[
8
]
:
=
(
,
)
2
3
(
1
)
w
h
er
e
,
is
th
e
p
o
w
er
co
n
v
er
s
i
o
n
co
ef
f
icie
n
t
t
h
at
is
as
(
2
)
.
P
lo
ttin
g
o
f
th
e
p
o
w
er
co
n
v
er
s
io
n
co
ef
f
icie
n
t
is
s
h
o
w
n
in
F
ig
u
r
e
1
.
(
,
)
=
1
(
2
−
3
−
4
)
−
5
+
6
(
2
)
W
ith
1
λ
i
=
1
λ
+
0
.
08β
−
0
.
035
1
+
β
3
T
h
e
r
atio
b
etw
ee
n
th
e
t
u
r
b
in
e
b
lad
e
s
p
ee
d
an
d
th
e
w
i
n
d
s
p
ee
d
is
as f
o
llo
w
s
:
=
(
3
)
T
h
er
ef
o
r
e,
th
e
o
u
tp
u
t p
o
w
er
o
f
th
e
t
u
r
b
in
e
i
s
as
f
o
llo
w
s
:
=
1
2
2
3
(
4
)
T
h
e
to
r
q
u
e
o
f
a
w
in
d
t
u
r
b
in
e
i
s
as f
o
llo
w
s
:
=
(
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
Th
e
ma
ximu
m
p
o
w
er p
o
in
t tra
ck
in
g
b
a
s
ed
-
co
n
tr
o
l sys
tem
fo
r
s
ma
ll
-
s
ca
l
e
w
in
d
tu
r
b
in
e
…
(
Qu
a
n
g
-
V
i Ng
o
)
3929
T
h
e
w
i
n
d
t
u
r
b
in
es
ca
n
o
p
er
ate
ac
co
r
d
in
g
to
d
i
f
f
er
en
t
co
n
tr
o
l
r
u
les
d
ep
en
d
in
g
o
n
t
h
e
w
i
n
d
s
p
ee
d
,
th
e
d
etail
is
s
h
o
w
n
in
F
ig
u
r
e
2.
2
.
2
.
T
he
P
M
SG
m
o
del
T
h
e
cu
r
r
en
t a
n
d
v
o
lta
g
e
eq
u
ati
o
n
s
o
n
t
h
e
co
o
r
d
in
ate
s
y
s
te
m
d
-
q
[
8
]
:
{
=
1
+
+
1
=
−
−
1
+
1
−
(
6
)
w
h
er
e:
–
th
e
s
tato
r
in
d
u
ctan
ce
m
ea
s
u
r
ed
o
n
v
er
tical
ax
is
;
–
th
e
s
tato
r
in
d
u
cta
n
ce
m
ea
s
u
r
ed
o
n
h
o
r
izo
n
tal
ax
is
;
–
th
e
f
l
u
x
;
,
-
t
h
e
ti
m
e
co
n
s
ta
n
ts
o
f
s
tato
r
.
T
o
r
q
u
e
eq
u
atio
n
o
f
th
e
g
e
n
er
ato
r
:
=
3
2
[
+
(
−
)
]
(
7
)
P
c
is
th
e
n
u
m
b
er
o
f
p
o
lar
p
air
s
Fig
u
r
e
1
.
T
h
e
p
o
w
er
co
n
v
er
s
i
o
n
co
ef
f
ic
ien
t
−
(
is
th
e
p
itc
h
an
g
le)
Fig
u
r
e
2
.
T
h
e
p
o
w
er
v
er
s
u
s
f
o
r
d
if
f
er
en
t
w
i
n
d
s
p
ee
d
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
4
,
A
u
g
u
s
t
2020
:
3
9
2
7
-
3935
3930
2
.
3
.
T
he
M
P
P
T
s
y
s
t
e
m
s
f
o
r
t
he
SS
W
T
a.
T
h
e
MPPT
s
y
s
te
m
w
i
th
s
en
s
o
r
s
T
h
e
s
y
s
te
m
s
h
o
w
n
i
n
Fi
g
u
r
e
3
h
as
b
ee
n
u
s
ed
e
x
te
n
s
i
v
el
y
i
n
m
ed
iu
m
a
n
d
lar
g
e
w
i
n
d
tu
r
b
in
e
s
y
s
te
m
s
[
1
0
,
2
2
]
.
T
h
is
s
tr
u
c
tu
r
e
u
s
es
a
s
e
n
s
o
r
th
a
t
m
ea
s
u
r
e
s
th
e
w
i
n
d
s
p
ee
d
,
s
en
s
o
r
s
f
o
r
m
ea
s
u
r
in
g
t
h
e
d
ir
ec
t
an
d
alter
n
ati
n
g
cu
r
r
en
t,
a
n
d
t
h
e
d
ir
ec
t
v
o
ltag
e.
T
h
e
s
y
s
te
m
u
s
es
6
I
GB
T
s
o
n
th
e
m
ac
h
in
e
s
id
e
to
en
s
u
r
e
th
e
p
o
w
er
i
n
t
h
e
lo
w
-
s
p
ee
d
ar
ea
s
is
e
x
p
lo
ited
to
t
h
e
m
a
x
i
m
u
m
ca
p
ac
it
y
[
2
3
,
2
4
]
.
T
h
is
m
et
h
o
d
is
o
f
ten
co
m
b
i
n
ed
w
ith
t
h
e
p
itch
co
n
tr
o
l
s
y
s
te
m
to
ad
j
u
s
t
th
e
p
itc
h
an
g
le
in
ca
s
e
th
e
w
i
n
d
s
p
ee
d
is
g
r
ea
ter
th
an
th
e
n
o
r
m
.
T
h
e
co
s
t
o
f
t
h
e
s
y
s
te
m
is
h
i
g
h
,
b
u
t
i
n
r
et
u
r
n
,
th
e
s
y
s
te
m
i
s
h
i
g
h
l
y
r
eliab
l
e
an
d
id
en
tify
i
n
g
th
e
o
p
ti
m
al
p
o
w
er
-
p
o
in
t.
b.
T
h
e
s
en
s
o
r
less
MP
P
T
s
y
s
te
m
T
h
is
s
ch
e
m
e
s
h
o
w
n
i
n
Fi
g
u
r
e
4
is
w
id
el
y
u
s
ed
i
n
SS
W
T
s
y
s
t
e
m
s
5
,
8
,
1
4
,
1
7
,
1
9
,
2
5
]
.
T
h
e
ad
v
an
ta
g
e
o
f
th
is
m
et
h
o
d
is
th
at
it
d
o
es
n
o
t
u
s
e
an
a
n
e
m
o
m
eter
,
o
n
l
y
u
s
e
s
elec
tr
ic
s
en
s
o
r
s
s
o
th
e
s
y
s
te
m
h
as
a
lo
n
g
li
f
e
an
d
r
eli
ab
le
o
p
er
atio
n
[
2
3
,
2
4
]
.
Fig
u
r
e
3
.
MP
PT
s
tr
u
ctu
r
e
w
it
h
a
w
i
n
d
s
p
ee
d
s
en
s
o
r
Fig
u
r
e
4
.
T
h
e
s
en
s
o
r
less
MP
P
T
s
tr
u
ctu
r
e
f
o
r
SS
W
T
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
Th
e
ma
ximu
m
p
o
w
er p
o
in
t tra
ck
in
g
b
a
s
ed
-
co
n
tr
o
l sys
tem
fo
r
s
ma
ll
-
s
ca
l
e
w
in
d
tu
r
b
in
e
…
(
Qu
a
n
g
-
V
i Ng
o
)
3931
3.
DE
S
I
G
NIN
G
T
H
E
M
P
P
T
CO
NT
RO
L
L
E
R
F
O
R
SS
W
T
3
.
1
.
T
he
SS
WT
s
t
ruct
ure
us
ing
Dire
ct
-
Driv
e
P
M
SG
T
h
e
p
r
o
p
o
s
ed
s
tr
u
ctu
r
e
is
s
h
o
w
n
in
Fi
g
u
r
e
5
.
T
h
e
au
th
o
r
s
u
s
ed
w
in
d
s
p
ee
d
m
e
ter
s
an
d
o
u
tp
u
t
tr
an
s
f
o
r
m
er
s
to
en
s
u
r
e
g
r
id
c
o
n
n
ec
tio
n
f
o
r
th
e
3
8
0
V
AC
s
y
s
te
m
.
T
h
e
s
tr
u
ct
u
r
e
h
as
el
i
m
i
n
ated
t
h
e
c
u
r
r
en
t
s
en
s
o
r
an
d
v
o
ltag
e
s
en
s
o
r
b
ec
au
s
e
t
h
e
SS
W
T
s
y
s
te
m
h
a
s
g
u
ar
a
n
t
ee
d
s
tab
ilit
y
w
it
h
d
i
f
f
er
en
t
w
i
n
d
s
p
ee
d
s
.
T
h
e
s
y
s
te
m
u
s
e
s
t
w
o
s
i
g
n
a
ls
s
u
c
h
a
s
t
h
e
w
in
d
tu
r
b
i
n
e
p
o
w
er
a
n
d
t
h
e
s
p
ee
d
o
f
th
e
g
e
n
er
ato
r
as
th
e
i
n
p
u
t
-
s
ig
n
al
s
f
o
r
th
e
MP
PT
.
T
h
is
s
tr
u
ctu
r
e
also
eli
m
i
n
ates
t
h
e
g
e
ar
b
o
x
s
y
s
te
m
,
s
o
th
e
s
p
ac
e
o
f
th
e
w
in
d
t
u
r
b
in
e
i
s
wi
d
er
,
th
e
w
eig
h
t
o
f
th
e
s
y
s
te
m
is
r
ed
u
ce
d
an
d
t
h
e
in
s
tallatio
n
p
r
o
ce
s
s
i
s
ac
tu
al
l
y
ea
s
ier
.
T
h
er
ef
o
r
e,
th
is
s
y
s
te
m
is
v
er
y
s
u
itab
le
to
in
s
tall
th
e
t
u
r
b
in
e
i
n
is
o
lated
ar
ea
s
o
r
u
r
b
an
ar
ea
s
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
a
ls
o
h
as
th
e
co
n
tr
o
l
s
ec
t
io
n
f
o
r
th
e
p
itch
a
n
g
le
s
o
t
h
e
SS
W
T
s
y
s
te
m
ca
n
o
p
er
ate
i
n
a
w
id
e
r
an
g
e
o
f
w
i
n
d
s
p
ee
d
w
it
h
d
i
f
f
er
en
t
r
eg
io
n
s
.
T
h
is
s
tr
u
ctu
r
e
h
a
s
eli
m
i
n
ated
tr
ad
itio
n
al
ele
m
e
n
t
s
s
u
c
h
as
a
d
u
m
p
lo
ad
,
a
p
ass
iv
e
p
itc
h
co
n
tr
o
ller
an
d
a
f
u
r
li
n
g
s
y
s
te
m
.
3
.
2
.
T
he
co
ntr
o
l st
ra
t
eg
y
o
f
t
he
SS
W
T
s
y
s
t
e
m
Ass
u
m
in
g
t
h
at
ig
n
o
r
in
g
th
e
lo
s
s
es
i
n
th
e
s
y
s
te
m
,
t
h
e
r
elatio
n
s
h
ip
cu
r
v
e
s
b
et
w
ee
n
t
h
e
tu
r
b
in
e
p
o
w
er
(
)
an
d
th
e
g
en
er
ato
r
s
p
ee
d
(
=
)
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
e
6
.
W
ith
a
d
e
f
i
n
ite
v
al
u
e
o
f
w
i
n
d
s
p
ee
d
,
th
e
tas
k
o
f
th
e
MP
PT
c
o
n
tr
o
ller
is
co
n
tr
o
llin
g
th
e
s
p
e
ed
o
f
th
e
g
e
n
er
ato
r
in
o
r
d
er
t
h
e
p
o
w
er
tak
e
n
f
r
o
m
t
h
e
w
in
d
to
th
e
g
r
id
is
m
a
x
i
m
u
m
.
Fo
r
ex
a
m
p
le,
if
th
e
w
i
n
d
s
p
ee
d
is
1
,
th
e
g
en
er
ato
r
s
p
ee
d
is
1
,
th
e
p
o
w
er
th
at
th
e
s
y
s
te
m
tr
an
s
m
its
to
th
e
g
r
i
d
is
p
o
in
t
A
,
th
e
MP
PT
co
n
tr
o
ller
w
ill
co
n
tr
o
l
th
e
s
y
s
te
m
to
r
ea
ch
th
e
s
p
ee
d
o
f
ω
t2
co
r
r
esp
o
n
d
in
g
to
th
e
tr
an
s
m
itted
p
o
w
er
r
ea
ch
t
h
e
m
ax
i
m
u
m
at
p
o
in
t
B
.
Si
m
i
lar
l
y
,
if
t
h
e
w
i
n
d
s
p
ee
d
in
cr
ea
s
es
to
2
,
3
,
th
e
MP
P
co
n
tr
o
ller
w
ill
co
n
tr
o
l
th
e
s
y
s
te
m
r
ea
ch
th
e
s
p
ee
d
o
f
3
(
p
o
in
t
F),
4
(
p
o
in
t
D
)
r
esp
ec
tiv
el
y
to
ac
h
ie
v
e
m
a
x
i
m
u
m
p
o
w
er
.
3.
3
.
Desig
nin
g
t
he
M
P
P
T
-
F
uzzy
co
ntr
o
ller
f
o
r
SS
WT
T
h
e
f
u
zz
y
-
co
n
tr
o
ller
i
s
b
ased
o
n
t
h
e
h
u
m
a
n
ex
p
er
ien
ce
t
h
r
o
u
g
h
a
s
e
t
o
f
e
x
p
er
ien
tia
l
d
es
ig
n
r
u
le
s
.
I
t
also
d
o
es
n
o
t
r
eq
u
ir
e
t
h
e
e
x
ac
t
m
at
h
e
m
atica
l
m
o
d
el
o
f
t
h
e
co
n
tr
o
l
o
b
j
ec
t.
Desig
n
o
f
a
f
u
zz
y
co
n
tr
o
ller
h
a
s
th
e
th
r
ee
s
tep
s
:
-
Fu
zz
i
f
icatio
n
: Co
n
v
er
ti
n
g
th
e
in
p
u
t
v
ar
iab
le
f
r
o
m
t
h
e
r
ea
l v
a
lu
e
to
th
e
f
u
zz
y
v
alu
e.
-
Settin
g
t
h
e
f
u
zz
y
lo
g
ic
r
u
les
“
i
f
.
.
.
th
e
n
”
-
Def
u
zz
if
icatio
n
:
C
o
n
v
er
ti
n
g
o
u
tp
u
t
v
alu
e
f
r
o
m
t
h
e
f
u
zz
y
v
al
u
e
to
t
h
e
r
ea
l
v
al
u
e
f
o
r
co
n
tr
o
llin
g
th
e
o
b
j
ec
t.
Fu
zz
i
f
icatio
n
o
f
t
h
e
i
n
p
u
t
an
d
o
u
tp
u
t
ar
e
s
h
o
w
n
as
F
ig
u
r
e
7
,
in
cl
u
d
in
g
li
n
g
u
i
s
tic
v
ar
iab
les:
Dec
r
ea
s
e
B
ig
(
DB
)
,
Dec
r
ea
s
e
S
m
a
ll
(
DS)
,
Z
er
o
(
Z
E
)
,
I
n
cr
ea
s
e
S
m
all
(
I
S),
an
d
I
n
cr
ea
s
e
B
i
g
(
I
B
)
.
T
h
e
co
n
tr
o
l
r
u
le
s
ar
e
s
etu
p
th
r
o
u
g
h
e
x
p
er
t
k
n
o
w
led
g
e
a
n
d
ex
p
er
ie
n
ce
o
f
t
h
e
au
t
h
o
r
s
.
T
h
er
e
ar
e
2
5
co
n
t
r
o
l
r
u
les
w
h
ic
h
ar
e
s
h
o
w
n
in
T
ab
le
1.
Fig
u
r
e
5
.
T
h
e
p
r
o
p
o
s
ed
SS
W
T
s
y
s
te
m
s
tr
u
ct
u
r
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
4
,
A
u
g
u
s
t
2020
:
3
9
2
7
-
3935
3932
Fig
u
r
e
6
.
T
h
e
r
elatio
n
s
h
ip
b
etw
ee
n
th
e
t
u
r
b
in
e
p
o
w
er
,
th
e
g
en
er
ato
r
s
p
ee
d
,
an
d
th
e
w
i
n
d
s
p
ee
d
Fig
u
r
e
7
.
T
h
e
lin
g
u
is
tic
v
ar
iab
les
T
ab
le
1
.
T
h
e
r
u
le
b
ase
o
f
Fu
zz
y
co
n
tr
o
ller
∆
ω
t
r
e
f
∆
P
t
DB
DS
ZE
IS
IB
∆
ω
t
DB
IB
IS
ZE
DS
DB
DS
IS
IS
ZE
DS
DS
ZE
DB
DS
ZE
IS
IB
IS
DS
DS
ZE
IS
IS
IB
DB
DS
ZE
IS
IB
T
h
e
d
iag
r
a
m
o
f
t
h
e
MP
P
T
-
Fu
zz
y
co
n
tr
o
l
s
y
s
te
m
is
s
h
o
w
n
i
n
Fi
g
u
r
e
8
,
an
d
th
e
P
ar
a
m
eter
s
o
f
S
SW
T
in
r
esear
ch
i
s
s
h
o
w
n
in
T
ab
le
2
.
T
h
e
ch
an
g
e
o
f
t
h
e
o
u
tp
u
t
p
o
w
er
o
f
th
e
w
in
d
t
u
r
b
in
e
at
th
e
c
y
c
le
(
k
)
is
a
s
f
o
llo
w
s
:
∆
[
]
=
[
]
−
[
−
1
]
(
8
)
T
h
e
ch
an
g
e
o
f
th
e
g
en
er
ato
r
s
p
ee
d
at
th
e
cy
c
le
(
k
)
is
as
f
o
llo
w
s
:
∆
[
]
=
[
]
−
[
−
1
]
(
9
)
T
h
e
o
p
tim
al
s
p
ee
d
at
th
e
c
y
cle
(
k
)
:
[
]
=
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−
1
]
+
∆
[
]
(
1
0
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
Th
e
ma
ximu
m
p
o
w
er p
o
in
t tra
ck
in
g
b
a
s
ed
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co
n
tr
o
l sys
tem
fo
r
s
ma
ll
-
s
ca
l
e
w
in
d
tu
r
b
in
e
…
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Qu
a
n
g
-
V
i Ng
o
)
3933
T
h
e
o
p
tim
al
r
ef
er
e
n
ce
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s
p
ee
d
o
f
th
e
co
n
tr
o
ller
:
w
h
er
e
1
,
2
an
d
3
ar
e
th
e
ad
ap
tiv
e
c
o
ef
f
icie
n
t
s
.
Fig
u
r
e
8
.
T
h
e
d
iag
r
am
o
f
t
h
e
MP
PT
f
u
zz
y
co
n
tr
o
ller
T
ab
le
2
.
T
h
e
P
a
r
am
eter
s
o
f
SS
W
T
R
a
t
e
d
p
o
w
e
r
(
k
W
)
R
a
d
i
u
s o
f
r
o
t
o
r
(
m)
A
i
r
d
e
n
si
t
y
(
k
g
/
m
3
)
P
o
w
e
r
c
o
e
f
f
i
c
i
e
n
t
o
f
o
p
t
i
m
a
l
T
i
p
sp
e
e
d
r
a
t
i
o
o
f
o
p
t
i
m
a
l
b
1
−
b
6
o
f
c
o
e
f
f
i
c
i
e
n
t
s
R
a
t
e
d
w
i
n
d
sp
e
e
d
(
m/
s)
2
.
5
1
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8
1
.
2
2
5
0
.
4
8
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5176
;
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;
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4
;
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.
5
4.
RE
SU
L
T
S AN
D
AN
AL
Y
SI
S
T
h
e
au
th
o
r
s
r
an
th
e
s
y
s
te
m
with
t
w
o
d
if
f
er
en
t
MP
P
T
co
n
tr
o
ller
s
:
HSC
an
d
F
u
zz
y
.
F
ig
u
r
e
9
s
h
o
w
s
th
e
w
i
n
d
s
p
ee
d
.
T
h
is
s
p
ee
d
r
a
n
g
e
s
f
r
o
m
th
e
s
tar
t
-
u
p
w
i
n
d
s
p
ee
d
to
th
e
r
ated
w
i
n
d
s
p
ee
d
.
A
t
t
h
ese
r
e
g
io
n
s
o
f
th
e
w
i
n
d
s
p
ee
d
th
at
MP
PT
co
n
tr
o
ller
s
n
ee
d
to
f
i
n
d
th
e
m
a
x
i
m
u
m
p
o
w
er
.
Fig
u
r
e
9
.
T
h
e
w
in
d
s
p
ee
d
I
n
o
r
d
er
to
en
s
u
r
e
th
e
m
a
x
i
m
u
m
p
o
w
er
,
th
e
e
n
er
g
y
co
n
v
er
s
io
n
co
e
f
f
icien
t
al
w
a
y
s
f
o
llo
w
s
th
e
o
p
ti
m
al
v
alu
e.
T
h
e
ch
ar
ac
t
er
is
tic
o
f
is
s
h
o
w
n
i
n
Fi
g
u
r
e
1
0
.
T
h
e
s
i
m
u
latio
n
r
es
u
lt
s
s
h
o
w
t
h
at
in
t
h
e
f
ir
s
t
p
er
io
d
o
f
0
-
0
.
1
s
,
th
e
Fu
zz
y
c
o
n
tr
o
ller
'
s
p
o
w
er
co
ef
f
icie
n
t
r
esp
o
n
d
s
q
u
ick
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3935
3934
Fi
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S
[1
]
M
o
h
a
m
e
d
N.,
e
t
a
l
.
,
"
Ro
b
u
st
c
o
o
rd
in
a
ted
c
o
n
tro
l
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si
n
g
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l
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m
a
n
d
DFIG
f
o
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p
o
w
e
r
s
m
o
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th
in
g
in
w
in
d
p
o
w
e
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p
lan
ts,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
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o
f
Po
we
r
El
e
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c
s
a
n
d
Dr
ive
S
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ms
(
IJ
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)
,
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l.
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n
o
.
2
)
,
p
p
.
1
1
1
0
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1
1
2
2
,
2
0
1
9
.
[2
]
S
o
u
m
ia
K.,
e
t
a
l
.
,
"
S
tu
d
y
o
f
a
u
to
m
a
ti
c
g
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ti
o
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re
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p
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y
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e
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o
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p
.
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.
[3
]
Iss
a
m
M
.
,
e
t
a
l
.
,
“
Co
n
tr
o
l
o
f
th
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p
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w
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m
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o
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),
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p
p
.
1
6
1
3
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1
6
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7
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2
0
1
9
.
[4
]
Ya
s
m
in
e
I.
,
e
t
a
l
.
,
"
Im
p
ro
v
e
d
w
in
d
s
y
ste
m
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sin
g
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o
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-
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d
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si
a
n
J
o
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e
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trica
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En
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p
.
1
1
4
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8
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0
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.
[5
]
Ya
a
k
o
u
b
i,
A
.
E.
,
e
t
a
l
.
,
"
No
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li
n
e
a
r
a
n
d
in
tell
ig
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t
m
a
x
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m
u
m
p
o
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p
o
in
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trac
k
in
g
stra
teg
ies
f
o
r
s
m
a
ll
siz
e
w
in
d
tu
rb
i
n
e
s:
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e
rf
o
rm
a
n
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y
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n
d
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o
m
p
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n
,
"
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e
rg
y
Rep
o
rts
,
v
o
l.
5
,
p
p
.
5
4
5
-
5
5
4
,
2
0
1
9
.
[6
]
Ro
c
h
a
,
P
.
A
.
C
,
e
t
a
l
.
,
"
T
h
e
e
ff
e
c
ts
o
f
b
lad
e
p
it
c
h
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n
g
le
o
n
t
h
e
p
e
rf
o
r
m
a
n
c
e
o
f
s
m
a
ll
-
sc
a
le
w
in
d
tu
rb
i
n
e
in
u
r
b
a
n
e
n
v
iro
n
m
e
n
ts,"
En
e
rg
y
,
v
o
l.
1
4
8
,
p
p
.
1
6
9
-
1
7
8
,
2
0
1
8
.
[7
]
T
u
m
m
a
la,
A
.
,
e
t
a
l.
,
"
A
re
v
ie
w
o
n
sm
a
ll
sc
a
le
w
in
d
tu
rb
i
n
e
s,"
Ren
e
wa
b
le
a
n
d
S
u
sta
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n
a
b
le
En
e
rg
y
R
e
v
iews
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o
l.
5
6
,
p
p
.
1
3
5
1
-
1
3
7
1
,
2
0
1
6
.
[8
]
Da
il
i,
Y
.
,
e
t
a
l
,
"
Im
p
le
m
e
n
tatio
n
o
f
a
n
e
w
m
a
x
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m
u
m
p
o
w
e
r
p
o
in
t
trac
k
in
g
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o
n
tro
l
stra
teg
y
f
o
r
s
m
a
ll
w
in
d
e
n
e
rg
y
c
o
n
v
e
rsio
n
sy
ste
m
s
w
it
h
o
u
t
m
e
c
h
a
n
ica
l
se
n
so
rs,"
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e
rg
y
Co
n
v
e
rs
io
n
a
n
d
M
a
n
a
g
e
me
n
t
,
v
o
l.
9
7
,
p
p
.
2
9
8
-
3
0
6
,
2
0
1
5
.
[9
]
Ku
m
a
r,
D.,
K
a
l
y
a
n
C.
,
"
A
r
e
v
ie
w
o
f
c
o
n
v
e
n
ti
o
n
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l
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n
d
a
d
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d
M
P
P
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lg
o
rit
h
m
s
f
o
r
w
in
d
e
n
e
rg
y
s
y
ste
m
s,"
Ren
e
wa
b
le a
n
d
s
u
sta
i
n
a
b
le en
e
rg
y
re
v
iews
,
v
o
l.
5
5
,
p
p
.
9
5
7
-
9
7
0
,
2
0
1
6
.
[1
0
]
Yin
,
M
.
,
e
t
a
l
.
,
"
A
e
ro
d
y
n
a
m
i
c
o
p
ti
m
iza
ti
o
n
f
o
r
v
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riab
le
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sp
e
e
d
w
in
d
tu
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i
n
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s
b
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se
d
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n
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in
d
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n
e
rg
y
c
a
p
tu
re
e
ff
ici
e
n
c
y
,
"
Ap
p
li
e
d
E
n
e
rg
y
,
v
o
l.
2
2
1
,
p
p
.
5
0
8
-
5
2
1
,
2
0
1
8
.
[1
1
]
Ch
a
n
g
,
T
-
P
,
e
t
a
l
.
,
"
Co
m
p
a
ra
ti
v
e
a
n
a
ly
sis
o
n
p
o
w
e
r
c
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rv
e
m
o
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e
ls
o
f
w
in
d
tu
rb
i
n
e
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e
n
e
ra
to
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in
e
sti
m
a
ti
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g
c
a
p
a
c
it
y
f
a
c
to
r,
"
En
e
rg
y
,
v
o
l.
7
3
,
p
p
.
8
8
-
9
5
,
2
0
1
4
.
[1
2
]
G
a
n
je
f
a
r,
S
.
,
e
t
a
l.
,
"
I
m
p
ro
v
in
g
e
ff
icie
n
c
y
o
f
t
w
o
-
t
y
p
e
m
a
x
i
m
u
m
p
o
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e
r
p
o
in
t
trac
k
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m
e
th
o
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s
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ti
p
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sp
e
e
d
ra
ti
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n
d
o
p
ti
m
u
m
to
rq
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e
i
n
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d
t
u
rb
i
n
e
sy
st
e
m
u
sin
g
a
q
u
a
n
t
u
m
n
e
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ra
l
n
e
tw
o
rk
,
"
En
e
rg
y
,
v
o
l.
6
7
,
p
p
.
4
4
4
-
4
5
3
,
2
0
1
4
.
[1
3
]
Da
h
b
i,
A
.
,
e
t
a
l
.
,
"
Re
a
li
z
a
ti
o
n
a
n
d
c
o
n
tr
o
l
o
f
a
w
in
d
tu
r
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in
e
c
o
n
n
e
c
ted
to
t
h
e
g
rid
b
y
u
sin
g
P
M
S
G
,
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e
rg
y
Co
n
v
e
rs
io
n
a
n
d
M
a
n
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g
e
me
n
t
,
v
o
l
.
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4
,
p
p
.
3
4
6
-
3
5
3
,
2
0
1
4
.
[1
4
]
Ka
z
m
i,
S
.
M
.
R.
,
e
t
a
l
.
,
"
A
n
o
v
e
l
a
lg
o
rit
h
m
f
o
r
f
a
st an
d
e
ff
i
c
ien
t
sp
e
e
d
-
se
n
so
rles
s m
a
x
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m
u
m
p
o
we
r
p
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2
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(
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)
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p
p
.
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,
2012
.
[2
4
]
Ch
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.
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.
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5
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.
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.
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.
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