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[
1
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[
3
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,
[
4]
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Hen
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ith
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[
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-
[
1
0
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Si
m
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lif
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m
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[
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[
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Hill
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Var
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ed
to
co
n
tr
o
l
ac
tiv
e
a
n
d
r
ea
ctiv
e
p
o
w
er
.
S
VP
W
M
co
n
v
er
ter
co
n
tr
o
l
s
w
i
tch
i
n
g
tec
h
n
iq
u
es
i
s
u
s
ed
f
o
r
P
MSG
[
2
2
]
.
Sen
s
o
r
less
v
ec
to
r
co
n
tr
o
l
tech
n
iq
u
e
u
s
i
n
g
P
L
L
is
u
s
ed
to
o
b
tain
g
o
o
d
cu
r
r
en
t,
g
o
o
d
r
esp
o
n
s
e
o
f
s
tatic
a
n
d
d
y
n
a
m
ic
p
er
f
o
r
m
a
n
ce
,
ac
cu
r
ate
s
p
ee
d
an
d
an
g
le
p
o
s
itio
n
o
f
P
MSG
[
2
3
]
.
Field
o
r
ien
ted
co
n
tr
o
l te
ch
n
iq
u
e
i
s
u
s
ed
[
2
4
]
.
2.
P
E
RM
ANENT
M
AG
NE
T
S
YNCH
RO
NO
US
G
E
N
E
RA
T
O
R
T
h
e
t
w
o
i
m
p
o
r
tan
t
f
ac
to
r
s
r
eg
ar
d
in
g
r
e
n
e
w
ab
le
e
n
er
g
y
ar
e
en
er
g
y
m
a
n
ag
e
m
e
n
t
a
n
d
s
a
v
i
n
g
en
er
g
y
.
Fo
r
s
av
i
n
g
e
n
er
g
y
t
h
e
ap
p
ar
atu
s
s
h
o
u
ld
b
e
w
ell
d
esi
g
n
ed
to
g
iv
e
a
m
a
x
i
m
u
m
p
er
f
o
r
m
an
ce
.
I
n
o
r
d
er
to
g
et
t
h
e
m
ax
i
m
u
m
en
er
g
y
th
e
s
y
n
ch
r
o
n
o
u
s
m
ac
h
in
e
s
ar
e
u
s
ed
.
T
h
e
s
y
n
c
h
r
o
n
o
u
s
elec
tr
ical
m
ac
h
in
e
s
h
a
s
s
e
v
er
al
f
ea
t
u
r
es
li
k
e
h
i
g
h
e
f
f
icien
c
y
,
r
o
b
u
s
t,
h
ig
h
p
o
w
er
f
ac
to
r
s
,
i
t
ca
n
b
e
o
p
er
ated
f
o
r
c
h
a
n
g
e
in
f
r
eq
u
e
n
c
y
,
les
s
ex
p
en
s
iv
e.
T
h
e
d
is
ad
v
a
n
ta
g
es
ar
e
m
a
g
n
etic
s
a
tu
r
atio
n
th
a
t
ca
u
s
e
m
o
to
r
p
er
f
o
r
m
a
n
ce
p
o
o
r
an
d
co
n
tr
o
llin
g
is
d
if
f
ic
u
lt.
R
ele
v
an
t to
m
ag
n
etic
s
atu
r
atio
n
ar
e
f
o
u
n
d
in
[
2
5
]
-
[
2
7
]
.
2
.
1
.
Cla
s
s
if
ica
t
io
n o
f
P
M
S
M
P
MSM
ar
e
class
if
ied
in
to
t
w
o
g
r
o
u
p
s
A
C
a
n
d
DC
m
ac
h
in
e
s
.
A
C
m
ac
h
i
n
es
ar
e
clas
s
if
ied
i
n
to
tr
ap
ez
o
id
al
ty
p
e
an
d
s
in
u
s
o
id
al
t
y
p
e.
Si
n
u
s
o
id
al
t
y
p
e
ar
e
f
u
r
th
er
cla
s
s
i
f
ied
as
s
u
r
f
ac
e
m
ag
n
et
ic
an
d
i
n
ter
io
r
m
ag
n
etic
t
y
p
e.
Fig
u
r
e
1
.
C
lass
if
ica
tio
n
o
f
P
M
elec
tr
i
ca
l
m
ac
h
in
e
s
2
.
2
.
P
rincipa
l o
f
o
pera
t
io
n
T
h
e
P
MSM
w
o
r
k
in
g
p
r
in
cip
l
e
is
s
i
m
ilar
to
w
o
r
k
i
n
g
p
r
i
n
ci
p
le
o
f
in
d
u
ct
io
n
m
ac
h
i
n
e
s
an
d
s
w
i
tch
ed
r
elu
ctan
ce
m
o
to
r
.
I
n
i
n
d
u
ct
io
n
m
ac
h
i
n
e
t
h
er
e
ar
e
t
w
o
t
y
p
e
s
o
f
r
o
to
r
th
e
y
ar
e
s
q
u
ir
r
el
ca
g
e
an
d
s
lip
r
i
n
g
r
o
to
r
,
in
ca
s
e
o
f
s
w
itc
h
ed
r
elu
cta
n
ce
m
ac
h
in
e
s
th
e
r
o
to
r
ar
e
m
ad
e
o
f
ir
o
n
co
r
e
w
h
er
e
as i
n
P
MS
M
th
e
r
o
to
r
is
m
ad
e
o
f
p
er
m
a
n
e
n
t
m
a
g
n
et.
A
s
i
x
p
o
le
th
r
ee
p
h
ase
P
MSM
m
ac
h
i
n
e
is
s
h
o
w
n
i
n
Fi
g
u
r
e
2
.
T
h
e
t
h
r
ee
p
h
ase
s
u
p
p
l
y
i
s
g
iv
e
n
to
s
tato
r
w
i
n
d
in
g
s
a,
b
,
c
.
T
h
e
s
tato
r
w
in
d
i
n
g
s
ar
e
p
lace
d
1
2
0
0
ap
ar
t
f
r
o
m
ea
ch
o
th
e
r
.
A
m
ag
n
etic
f
ield
is
cr
ea
ted
b
y
s
ta
to
r
w
i
n
d
in
g
s
o
n
ce
s
u
p
p
l
y
i
s
g
i
v
e
n
.
T
h
e
r
o
t
o
r
is
p
er
m
a
n
en
t
m
a
g
n
et
g
e
n
er
ates
m
a
g
n
etic
f
ield
.
T
h
e
w
o
r
k
i
n
g
ta
k
es
p
lace
b
y
i
n
ter
ac
tio
n
o
f
s
tato
r
m
a
g
n
etic
f
ield
w
ith
r
o
to
r
m
ag
n
etic
f
ield
an
d
ca
u
s
e
m
o
m
e
n
t.
Fig
u
r
e
3
s
h
o
w
s
w
o
r
k
i
n
g
p
r
i
n
c
ip
le
o
f
P
MSM
.
T
h
e
ad
v
a
n
ta
g
e
s
o
f
P
MSM
m
ac
h
i
n
es
ar
e
m
a
g
n
et
ic
f
ield
cr
ea
ted
b
y
r
o
to
r
ar
e
d
u
e
to
p
er
m
a
n
e
n
t
m
ag
n
et
w
it
h
o
u
t
elec
tr
ical
s
u
p
p
ly
.
T
h
e
s
tato
r
w
i
n
d
in
g
s
w
ill
p
r
o
d
u
ce
a
r
ev
o
lv
in
g
m
ag
n
etic
f
ield
,
th
e
r
o
tati
n
g
m
ag
n
et
ic
f
ield
s
p
ee
d
is
eq
u
al
to
s
u
p
p
l
y
v
o
lta
g
e
f
r
eq
u
en
c
y
.
T
h
e
s
p
ee
d
is
ca
lc
u
lated
b
y
t
h
e
f
o
r
m
u
la
g
i
v
e
n
b
elo
w
.
N
s
=1
2
0
*
f
/p
N
s
s
y
n
ch
r
o
n
o
u
s
s
p
ee
d
in
(
r
ad
/s
ec
)
,
f
is
f
r
eq
u
e
n
c
y
in
Hz,
p
is
n
u
m
b
er
o
f
p
o
le
p
air
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
694
IJ
PEDS
Vo
l.
8
,
No
.
3
,
Sep
te
m
b
er
2
0
1
7
:
1
1
6
0
–
1
1
6
7
1162
Fig
u
r
e
2
.
P
MSM
w
it
h
6
p
o
les.
[
2
8
]
Fig
u
r
e
3
.
W
o
r
k
in
g
p
r
in
cip
al
o
f
P
MSM
[
2
8
]
3.
CO
NT
RO
L
ST
R
AT
E
G
Y
T
h
e
co
n
tr
o
l
s
tr
ateg
ie
s
u
s
ed
in
P
MSG
a
n
d
DFI
G
ar
e
cl
ass
i
f
ied
in
to
s
ca
lar
co
n
tr
o
l
an
d
v
ec
to
r
co
n
tr
o
l.T
h
e
s
ca
lar
c
o
n
tr
o
l
is
f
u
r
th
er
clas
s
if
ied
in
to
f
r
eq
u
en
c
y
co
n
tr
o
l
an
d
V/F
co
n
tr
o
l.
T
h
e
v
ec
to
r
co
n
tr
o
l
is
d
iv
id
ed
in
to
f
ield
o
r
ien
ted
co
n
tr
o
l
an
d
d
ir
ec
t
to
r
q
u
e
co
n
tr
o
l.
Field
o
r
ien
ted
co
n
tr
o
l
is
s
u
b
d
iv
id
ed
in
to
s
ta
to
r
o
r
ien
ted
co
n
tr
o
l
an
d
r
o
to
r
o
r
ien
ted
co
n
tr
o
l.
Dir
ec
t
to
r
q
u
e
co
n
tr
o
l
is
class
if
ied
i
n
to
d
ir
ec
t
to
r
q
u
e
co
n
tr
o
l
tech
n
iq
u
e
an
d
d
ir
ec
t p
o
w
er
co
n
tr
o
l te
ch
n
iq
u
e
s
h
o
w
n
in
Fig
u
r
e
5
.
3
.
1
.
Vo
lt
a
g
e/F
re
qu
ency
co
ntr
o
l
I
n
t
h
is
m
et
h
o
d
cu
r
r
en
t
a
n
d
to
r
q
u
e
ar
e
n
o
t
co
n
tr
o
lled
,
in
s
tead
v
o
lta
g
e
an
d
f
r
eq
u
e
n
cies
ar
e
c
o
n
tr
o
lled
.
T
h
e
b
lo
ck
d
iag
r
a
m
f
o
r
V/F
m
et
h
o
d
is
s
h
o
w
n
b
elo
w
Fi
g
u
r
e
4.
T
h
e
ad
v
an
ta
g
e
o
f
t
h
is
c
o
n
tr
o
l
tech
n
iq
u
e
is
s
i
m
p
le,
lo
w
co
s
t.
T
h
e
d
is
ad
v
an
tag
e
ar
e
lis
ted
n
a
m
e
l
y
p
o
o
r
s
tab
ilit
y
,
u
n
co
n
tr
o
lled
to
r
q
u
e
,
an
d
th
e
r
o
to
r
is
n
o
t
s
y
n
ch
r
o
n
ized
w
ith
e
x
citatio
n
f
r
eq
u
en
c
y
.
Fig
u
r
e
4
.
Vo
ltag
e/Fr
eq
u
e
n
c
y
c
o
n
tr
o
l
Fig
u
r
e
5
.
C
o
n
tr
o
l stra
teg
y
3
.
2
.
F
ield O
rient
ed
Co
ntr
o
l
T
h
e
tar
g
et
o
f
th
e
Field
Or
ie
n
ted
C
o
n
tr
o
l
is
to
co
n
tr
o
l
th
e
m
ec
h
a
n
ical
s
p
ee
d
o
f
th
e
r
o
to
r
an
d
to
co
n
tr
o
l th
e
to
r
q
u
e
o
f
t
h
e
m
o
to
r
b
y
co
n
tr
o
llin
g
t
h
e
c
u
r
r
en
t
s
.
T
o
ca
r
r
y
o
u
t t
h
ese
co
n
tr
o
ls
t
h
e
elec
tr
ical
q
u
a
n
titi
e
s
ar
e
co
n
v
er
ted
f
r
o
m
th
r
ee
p
h
a
s
e
s
tatio
n
ar
y
f
r
a
m
e
in
to
t
w
o
p
h
ase
r
o
tatin
g
f
r
a
m
e
b
y
u
s
i
n
g
C
lar
k
e
a
n
d
p
ar
k
tr
an
s
f
o
r
m
atio
n
tec
h
n
iq
u
es
[
2
4
]
.
E
x
p
r
ess
io
n
o
f
t
h
e
Stato
r
C
u
r
r
en
t
Vec
to
r
i
s
s
h
o
w
n
b
elo
w
.
T
h
e
t
h
r
ee
p
h
as
e
s
tato
r
cu
r
r
en
t i
n
s
tatio
n
ar
y
f
r
am
e
ar
e
g
i
v
en
b
y
⃗
⃗
⃗
⃗
⃗
⃗
⃗
⃗
⃗
⃗
(
1
)
In
Fi
g
u
r
e
6
t
h
e
s
u
m
o
f
t
h
r
ee
p
h
ase
c
u
r
r
en
t
s
g
iv
e
s
t
h
e
r
o
tatin
g
s
ta
to
r
cu
r
r
en
t
v
ec
to
r
an
d
ca
n
b
e
c
o
n
v
er
ted
in
t
o
t
w
o
p
h
a
s
e
q
u
an
tit
y
α
β i
n
f
ix
e
d
f
r
a
m
e.
T
h
e
s
tato
r
cu
r
r
en
t
v
ec
to
r
in
th
is
f
i
x
ed
f
r
a
m
e
is
g
iv
e
b
y
:
i
α
=i
a
(
2
)
i
β
=
3
1
i
a
+
3
2
i
b
(
3
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PEDS
I
SS
N:
2
0
8
8
-
8
694
C
o
n
tr
o
l S
tr
a
teg
y
Used
in
DF
I
G
a
n
d
P
MS
G
B
a
s
ed
W
in
d
Tu
r
b
in
es a
n
Ove
r
view (
V
.
Meen
a
ksh
i)
1163
Fig
u
r
e
6
.
Stato
r
cu
r
r
en
t
Fig
u
r
e
7
.
(
a,
b
,
c)
-
>(
α
β)
P
r
o
j
ec
t
io
n
(
C
lar
k
e
T
r
an
s
f
o
r
m
atio
n
)
I
n
th
is
n
e
w
f
r
a
m
e,
α
β
is
co
n
v
er
ted
i
n
to
t
w
o
p
h
ase
d
q
s
y
s
te
m
s
o
h
a
s
to
r
e
m
o
v
e
t
h
e
r
o
t
o
r
f
lu
x
d
ep
en
d
en
c
y
.
T
h
e
eq
u
atio
n
s
co
r
r
esp
o
n
d
in
g
t
o
C
lar
k
e
to
P
ar
k
tr
an
s
f
o
r
m
atio
n
ar
e
g
i
v
en
b
y
:
i
d
=
i
α
.
co
s
(
θ
e
)
+
i
β
.
s
in
(
θ
e
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(
4
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i
q=
-
i
α.
s
i
n
(
θ
e
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i
β
co
s
(
θ
e
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(
5
)
Fig
u
r
e
8
s
h
o
w
s
th
e
co
n
tr
o
l
s
ch
e
m
e
s
f
o
r
FO
C
P
MSG
d
r
i
v
es.T
h
e
th
r
ee
p
h
a
s
e
c
u
r
r
en
t
s
i
a,
ib
,
ic
ar
e
m
ea
s
u
r
ed
th
r
o
u
g
h
cu
r
r
en
t
s
en
s
o
r
s
a
n
d
it
is
co
n
v
er
ted
in
to
t
w
o
p
h
ase
q
u
an
t
ities
b
y
ap
p
l
y
i
n
g
C
lar
k
e
tr
an
s
f
o
r
m
atio
n
b
lo
ck
.
T
h
e
o
u
tp
u
t
c
u
r
r
en
t
i
α
a
n
d
i
β
ar
e
co
n
v
er
ted
in
to
i
d
a
n
d
i
q
b
y
ap
p
l
y
in
g
P
ar
k
tr
an
s
f
o
r
m
atio
n
tech
n
iq
u
e
s
.
T
h
e
o
u
tp
u
t
f
r
o
m
P
ar
k
tr
an
s
f
o
r
m
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n
b
lo
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i
d
a
n
d
i
q
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s
co
m
p
ar
ed
w
i
th
r
ef
er
e
n
ce
v
alu
e
i
d
(
s
et
to
0
)
an
d
i
q
an
d
co
n
tr
o
lled
b
y
P
I
co
n
tr
o
ller
.
T
h
e
o
u
p
u
t
f
r
o
m
P
I
co
n
tr
o
ller
is
g
iv
en
t
o
in
v
er
s
e
P
ar
k
tr
an
s
f
o
r
m
b
lo
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f
r
o
m
th
is
b
l
o
ck
a
n
o
v
el
s
tato
r
v
o
ltag
e
v
ec
to
r
is
g
iv
e
n
to
th
e
m
o
to
r
th
r
o
u
g
h
S
VP
W
M
tech
n
iq
u
e.
T
h
e
o
u
ter
lo
o
p
is
a
s
p
ee
d
lo
o
p
w
h
ic
h
co
m
p
ar
e
th
e
m
o
to
r
s
p
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d
n
w
ith
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r
ef
a
n
d
d
r
iv
in
g
th
e
i
q
r
e
f
cu
r
r
en
t.
Fig
u
r
e
8
.
Field
Or
ien
ted
C
o
n
tr
o
l
T
h
e
FOC
h
a
s
s
e
v
er
al
ad
v
a
n
ta
g
es
li
k
e
g
o
o
d
to
r
q
u
e
r
esp
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s
e
,
ac
cu
r
ate
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p
ee
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co
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o
l
w
h
ile
d
is
ad
v
an
ta
g
e
s
ar
e
m
an
y
tr
a
n
s
f
o
r
m
atio
n
s
ar
e
n
ee
d
ed
[
2
9
]
.
3
.
3
.
Dire
ct
T
o
rque
Co
ntr
o
l
T
h
e
v
ar
iab
les
u
s
in
g
in
d
ir
ec
t
to
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q
u
e
co
n
tr
o
l
ar
e
f
lu
x
li
n
k
ag
e
s
an
d
to
r
q
u
e.
T
h
e
to
r
q
u
e
is
co
n
tr
o
lled
b
y
u
s
i
n
g
s
w
itc
h
in
g
tab
le,
P
I
co
n
t
r
o
ller
,
an
d
s
p
ac
e
v
ec
to
r
p
u
ls
e
w
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m
o
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la
tio
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tech
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iq
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T
h
e
ad
v
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ta
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o
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ar
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a
m
ic
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h
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d
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ta
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ar
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ig
h
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s
a
m
p
li
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g
ti
m
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a
s
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I
n
Fi
g
u
r
e
9
,
th
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r
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en
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f
lu
x
li
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k
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is
co
m
p
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d
f
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lin
k
a
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s
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o
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tp
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tr
o
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t
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v
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s
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to
r
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v
e
r
ter
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r
o
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g
h
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M
m
o
d
u
la
tio
n
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m
ilar
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f
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o
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t
h
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e
it
is
g
i
v
en
to
p
w
m
in
v
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ter
t
h
r
o
u
g
h
S
VP
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M
b
lo
ck
.
Fro
m
p
w
m
i
n
v
er
ter
it is
g
i
v
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MSG.
Fig
u
r
e
9.
Dir
ec
t T
o
r
q
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e
C
o
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tr
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l
Fig
u
r
e
10.
W
av
e
f
o
r
m
o
f
s
i
n
u
s
o
id
al
p
u
ls
e
w
id
th
m
o
d
u
latio
n
4.
CO
NVER
T
O
R
T
O
P
O
L
O
G
Y
T
h
e
m
ain
p
u
r
p
o
s
e
o
f
co
n
v
er
t
o
r
to
p
o
lo
g
y
i
n
p
o
w
er
in
v
er
ter
s
is
to
co
n
tr
o
l
th
e
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u
tp
u
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v
o
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d
to
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u
p
p
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v
o
lta
g
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a
n
d
f
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eq
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en
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iv
es.
Mo
d
if
ic
atio
n
in
p
u
ls
e
-
w
id
t
h
s
w
ill
i
m
p
r
o
v
e
th
e
g
en
er
atio
n
o
f
h
ar
m
o
n
ic
s
.
I
n
P
W
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tec
h
n
iq
u
e,
th
e
in
p
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t
i
s
a
f
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er
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d
a
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o
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ter
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p
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t
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.
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io
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s
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tech
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m
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elec
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s
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m
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SVM
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r
SVP
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,
s
in
u
s
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id
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p
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ls
e
w
id
t
h
m
o
d
u
latio
n
,
r
an
d
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m
P
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M,
ca
lcu
latio
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b
ased
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n
eq
u
al
ar
ea
cr
iter
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n
,
an
d
Si
n
u
s
o
id
al
P
W
M
(
SP
W
M)
,
C
u
r
r
en
t
C
o
n
tr
o
lled
P
W
M
(
C
C
P
W
M)
tech
n
iq
u
es
[
3
0
]
,
[
3
1
]
.
Mo
s
t
r
ec
en
tl
y
u
s
ed
P
W
M
tech
n
iq
u
es
i
n
D
FIG
an
d
P
MSG
ar
e
s
in
u
s
o
id
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p
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l
s
e
w
id
t
h
m
o
d
u
latio
n
a
n
d
SVM
tech
n
iq
u
es.
4
.
1
.
Sin
u
s
o
ida
l P
uls
e
W
idth M
o
du
la
t
io
n T
ec
hn
i
qu
e
T
h
e
s
in
u
s
o
id
al
r
ef
er
en
ce
s
ig
n
al
is
co
m
p
ar
ed
w
i
th
tr
ia
n
g
u
lar
w
av
e
s
ig
n
al
to
g
en
er
ate
g
atin
g
p
u
ls
e
to
in
v
er
ter
is
s
h
o
w
n
i
n
Fig
u
r
e
1
0
.
T
h
e
in
v
er
ter
o
u
tp
u
t
f
r
eq
u
e
n
c
y
is
d
ep
en
d
o
n
r
ef
er
e
n
ce
s
i
g
n
al
f
r
eq
u
en
c
y
.
T
h
e
m
o
d
u
latio
n
i
n
d
ex
i
s
co
n
tr
o
lle
d
b
y
p
ea
k
a
m
p
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tu
d
e
a
n
d
t
h
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o
u
tp
u
t
v
o
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e
is
co
n
tr
o
lled
b
y
m
o
d
u
latio
n
in
d
e
x
V
O
=V
s
(
S1
-
S4
)
.
T
h
e
n
u
m
b
e
r
o
f
p
u
ls
es
p
er
h
alf
c
y
cle
i
s
o
b
tain
ed
b
y
t
h
e
ca
r
r
ier
f
r
eq
u
en
c
y
[
3
2
]
-
[
3
4
]
.
T
h
e
ad
v
an
ta
g
e
o
f
s
p
wm
is
th
e
o
u
tp
u
t
v
o
ltag
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ca
n
b
e
co
n
tr
o
lle
d
w
i
th
o
u
t
a
n
y
ad
d
itio
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al
co
m
p
o
n
en
t
s
.
I
t
r
ed
u
ce
s
f
ilter
i
n
g
co
m
p
o
n
en
ts
,
lo
w
er
h
a
r
m
o
n
ics ca
n
b
e
r
ed
u
ce
d
.
4
.
2
.
Sp
a
ce
Vec
t
o
r
P
uls
e
Width
M
o
du
la
t
io
n T
ec
hn
iq
ues
T
h
e
SP
W
M
h
as
a
m
aj
o
r
d
is
ad
v
an
ta
g
e
lo
w
er
d
c
b
u
s
u
til
i
za
tio
n
.
T
h
e
o
u
tp
u
t
v
o
ltag
e
f
r
o
m
VSI
u
tili
zi
n
g
SP
W
M
tech
n
iq
u
e
is
0
.
5
Vd
c
(
p
ea
k
)
o
r
0
.
3
5
3
r
m
s
.
W
h
er
ea
s
th
e
o
u
tp
u
t
v
o
ltag
e
f
r
o
m
VSI
u
t
ilizi
n
g
SVP
W
M
i
m
p
r
o
v
es
b
y
1
5
.
1
5
%.T
h
e
d
c
b
u
s
u
tili
za
tio
n
i
s
m
o
r
e
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f
icie
n
t
in
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t
ec
h
n
iq
u
e,
t
h
er
e
is
a
d
eg
r
ee
o
f
f
r
ee
d
o
m
o
f
s
p
ac
e
v
ec
to
r
p
lac
em
en
t
in
a
s
w
itc
h
i
n
g
c
y
cle
[
3
5
]
-
[
3
6
]
.
T
h
e
co
m
m
o
n
b
lo
ck
o
f
SVP
W
M
ar
e
lo
w
-
p
as
s
b
u
s
f
ilter
,
th
r
ee
p
h
ase
g
en
er
ato
r
,
r
a
m
p
g
e
n
e
r
ato
r
,
alp
h
a
b
eta
tr
an
s
f
o
r
m
a
ti
o
n
,
s
w
itch
in
g
ti
m
e
ca
lcu
lato
r
,
α
β
v
ec
to
r
s
ec
to
r
g
a
tes lo
g
ic.
T
h
e
v
o
ltag
e
eq
u
atio
n
s
ar
e
V
R
=V
m
s
i
n
ω
t
(
6
)
V
B
=V
m
s
i
n
(ωt
-
2
π/3
)
(
7
)
V
C
=V
m
s
i
n
(
ω
t
-
4
π/3
)
(
8
)
W
h
en
a
t
h
r
ee
p
h
a
s
e
s
u
p
p
l
y
i
s
ap
p
lied
to
th
e
w
i
n
d
in
g
s
o
f
a
th
r
ee
p
h
a
s
e
ac
m
ac
h
i
n
e,
it
lead
to
a
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5.
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p
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a
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m
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m
n
u
m
b
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o
f
tr
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s
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m
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e
f
f
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u
p
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d
to
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in
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s
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es
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lt.
Af
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s
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ti
n
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all
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p
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s
,
it
is
f
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n
d
t
h
at
DT
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w
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a
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d
id
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f
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b
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f
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o
f
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d
e
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ic
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e
n
er
ato
r
s
.
RE
F
E
R
E
NC
E
S
[1
]
H.
S
h
a
riatp
a
n
a
h
,
e
t
a
l.
,
―
A
Ne
w
M
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l
f
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Ba
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d
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Co
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E
tra
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ti
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n
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rg
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c
o
n
v
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io
n
,
v
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l
/i
ss
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:
28
(
4
)
,
2
0
1
3
.
[2
]
R.
W
ise
r,
e
t
a
l.
,
―
W
in
d
En
e
rg
y
,
‖
i
n
IPCC
S
p
e
c
ia
l
Rep
o
rt
o
n
R
e
n
e
wa
b
le
En
e
rg
y
S
o
u
rc
e
s
a
n
d
Cli
ma
te
Ch
a
n
g
e
M
it
ig
a
ti
o
n
,
2
0
1
1
.
[3
]
T
.
G
h
e
n
n
a
m
,
e
t
a
l.
,
―
A
d
v
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n
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d
Co
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tr
o
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sy
ste
m
o
f
DFI
G
b
a
se
d
win
d
g
e
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e
ra
to
rs
f
o
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re
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c
ti
v
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w
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p
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ti
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in
teg
ra
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n
a
w
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d
f
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rm
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isp
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tch
in
g
,
‖
E
n
e
rg
y
Co
n
v
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rs
io
n
a
n
d
M
a
n
a
g
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me
n
t
,
v
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1
0
5
,
p
p
.
2
4
0
–
250
,
2
0
1
5
.
[4
]
Ev
a
n
g
e
li
sta
C
.
,
e
t
a
l.
,
―
A
c
ti
v
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v
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p
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w
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c
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f
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IM
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slid
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m
o
d
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a
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o
rit
h
m
w
it
h
v
a
riab
le g
a
in
s
,
‖
IEE
E
T
ra
n
s E
n
e
rg
y
C
o
n
v
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rs
,
v
o
l/
iss
u
e
:
2
8
(3
)
,
p
p
.
6
8
2
–
9
,
2
0
1
3
.
[5
]
M
.
A.
Ch
o
w
d
h
u
ry
,
e
t
a
l.
,
―
A
N
o
v
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l
a
g
g
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g
a
t
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d
DFIG
w
in
d
f
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m
m
o
d
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l
u
sin
g
M
e
c
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a
n
ica
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rq
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c
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m
p
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sa
ti
n
g
f
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to
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,
‖
En
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rg
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Co
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M
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K
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ri
a
n
d
P
.
S
e
n
sa
rm
a
,
―
M
a
x
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m
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m
P
o
w
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r
P
o
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T
ra
c
k
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V
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p
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d
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in
d
T
u
r
b
in
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s
W
it
h
F
lex
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le
S
h
a
f
t
,
‖
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
su
sta
in
a
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le en
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rg
y
,
2
0
1
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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[7
]
S
.
M
o
rim
o
to
,
e
t
a
l.
,
―
S
e
n
so
rles
s
o
u
tp
u
t
m
a
x
i
m
iza
ti
o
n
c
o
n
tro
l
f
o
r
v
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riab
le
-
sp
e
e
d
w
in
d
g
e
n
e
ra
ti
o
n
s
y
ste
m
u
sin
g
IP
M
S
G
,
‖
IEE
E
T
ra
n
s.
I
n
d
.
Ap
p
l
.
,
v
o
l
/i
ss
u
e
:
41
(
1
)
,
p
p
.
6
0
–
6
7
,
2
0
0
5
.
[8
]
S
.
M
.
R.
Ka
z
m
i,
e
t
a
l.
,
―
A
n
o
v
e
l
a
lg
o
rit
h
m
f
o
r
fa
st
a
n
d
e
ff
icie
n
t
sp
e
e
d
-
se
n
so
rles
s
m
a
x
i
m
u
m
p
o
w
e
rp
o
i
n
t
trac
k
in
g
in
w
in
d
e
n
e
rg
y
c
o
n
v
e
rsio
n
sy
ste
m
s,‖
IEE
E
T
ra
n
s.
In
d
.
El
e
c
tro
n
.
,
v
o
l
/i
ss
u
e
:
58
(
1
)
,
p
p
.
29
–
3
6
,
2
0
1
1
.
[9
]
M
.
E.
Ha
q
u
e
,
e
t
a
l.
,
―
A
n
o
v
e
l
c
o
n
tro
l
stra
teg
y
f
o
r
a
v
a
ri
a
b
le
-
sp
e
e
d
w
in
d
tu
rb
i
n
e
w
it
h
a
p
e
r
m
a
n
e
n
t
-
m
a
g
n
e
t
s
y
n
c
h
ro
n
o
u
s g
e
n
e
ra
to
r,
‖
I
EE
E
T
r
a
n
s.
I
n
d
.
Ap
p
l
.
,
v
o
l
/i
ss
u
e
:
46
(1
),
p
p
.
3
3
1
–
3
3
9
,
2
0
1
0
.
[1
0
]
K.
T
a
n
a
n
d
S
.
Isla
m
,
―
Op
ti
m
u
m
c
o
n
tro
l
stra
teg
ies
in
e
n
e
rg
y
c
o
n
v
e
rsio
n
o
f
P
M
S
G
w
in
d
tu
rb
in
e
s
y
ste
m
w
it
h
o
u
t
M
e
c
h
a
n
ica
lse
n
so
rs,‖
IEE
E
T
ra
n
s
.
En
e
rg
y
Co
n
v
e
rs
.
,
v
o
l
/i
ss
u
e
:
19
(
2
),
p
p
.
3
9
2
–
3
9
9
,
2
0
0
4
.
[1
1
]
A
.
L
u
n
a
,
e
t
a
l.
,
―
S
im
p
li
f
ied
M
o
d
e
li
n
g
o
f
a
DFIG
f
o
r
T
ra
n
sie
n
t
S
t
u
d
ies
i
n
W
in
d
P
o
w
e
r
A
p
p
li
c
a
ti
o
n
s,‖
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
in
d
u
stri
a
l
e
lec
tro
n
ics
,
v
o
l
/i
ss
u
e
:
58
(
1
)
,
2
0
1
1
.
[1
2
]
F.
K.
A
.
L
i
m
a
,
e
t
a
l.
,
―
Ro
to
r
V
o
lt
a
g
e
D
y
n
a
m
ics
in
th
e
Do
u
b
ly
F
e
d
In
d
u
c
ti
o
n
G
e
n
e
ra
to
r
Du
rin
g
G
rid
F
a
u
lt
s,‖
IEE
E
tra
n
sa
c
ti
o
n
s
o
n
p
o
we
r
El
e
c
tro
n
ic
s
,
v
o
l
/i
ss
u
e
:
25
(
1
)
,
2
0
1
0
.
[1
3
]
T
ra
n
s
m
is
sio
n
L
in
e
s
De
p
a
rt
m
e
n
t
(De
n
m
a
rk
)
,
―
W
in
d
t
u
rb
i
n
e
s
c
o
n
n
e
c
ted
to
g
rid
s
w
it
h
v
o
lt
a
g
e
s
b
e
lo
w
1
0
0
k
V
—
T
e
c
h
n
i
c
a
l
Re
g
u
latio
n
s
T
F
3
.
2
.
6
,‖
[
On
li
n
e
]
.
A
v
a
il
a
b
le:
h
tt
p
:/
/w
ww
.
e
n
e
rg
in
e
t.
d
k
,
2
0
1
0
.
[1
4
]
D.
X
ian
g
,
e
t
a
l.
,
―
Co
n
tr
o
l
o
f
a
d
o
u
b
ly
-
f
e
d
in
d
u
c
ti
o
n
g
e
n
e
ra
to
r
in
a
w
in
d
tu
rb
in
e
d
u
rin
g
g
rid
f
a
u
lt
rid
e
-
th
ro
u
g
h
,
‖
IEE
E
T
ra
n
s.
E
n
e
rg
y
Co
n
v
e
rs
io
n
, v
o
l/
issu
e
:
2
1
(3
),
p
p
.
6
5
2
–
6
6
2
,
2
0
0
6
.
[1
5
]
F
.
M
e
i
a
n
d
B.
P
a
l,
―
M
o
d
a
l
a
n
a
ly
sis
o
f
g
rid
-
c
o
n
n
e
c
ted
d
o
u
b
ly
fe
d
in
d
u
c
ti
o
n
g
e
n
e
ra
to
rs,‖
IEE
E
T
ra
n
s.
En
e
rg
y
Co
n
v
e
rs
io
n
.
,
v
o
l
/i
ss
u
e
:
22
(
3
)
,
p
p
.
7
2
8
–
7
3
6
,
2
0
0
7
.
[1
6
]
M
.
P
u
c
c
i
a
n
d
M
.
C.
Ne
u
lra
,
―
M
P
P
T
Co
n
tr
o
l
o
f
W
in
d
G
e
n
e
ra
to
rs
W
it
h
In
d
u
c
ti
o
n
M
a
c
h
in
e
s
W
it
h
o
u
t
S
p
e
e
d
S
e
n
so
rs
,
‖
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
i
n
d
u
stri
a
l
e
lec
tro
n
ics
,
v
o
l/
issu
e
:
58
(
1
)
,
2
0
1
1
.
[1
7
]
S
.
M
.
R
.
Ka
z
m
i,
e
t
a
l.
,
―
A
No
v
e
l
A
lg
o
rit
h
m
f
o
r
F
a
st
a
n
d
E
ff
ic
ien
t
S
p
e
e
d
-
S
e
n
s
o
rles
s
M
a
x
i
m
u
m
P
o
w
e
r
P
o
i
n
t
T
ra
c
k
in
g
in
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
I
n
d
u
stria
l
e
lec
tro
n
ics
,
v
o
l/
issu
e
:
58
(
1
)
,
2
0
1
1
.
[1
8
]
M
.
L
a
m
c
h
ich
M.
T
.
,
―
Co
n
tro
l
stra
teg
y
o
f
p
e
r
m
a
n
e
n
t
m
a
g
n
e
t
s
y
n
c
h
ro
n
o
u
s
g
e
n
e
ra
to
r
f
o
r
sta
n
d
a
lo
n
e
w
in
d
p
o
w
e
r
g
e
n
e
ra
ti
o
n
sy
st
e
m
,
‖
El
e
c
trica
l
M
a
c
h
in
e
s a
n
d
p
o
we
r ele
c
tro
n
ics
a
n
d
2
0
1
1
El
e
c
tro
mo
ti
o
n
jo
i
n
t
c
o
n
fer
e
n
c
e
(
ACE
M
P),
2
0
1
1
I
n
ter
n
a
ti
o
n
a
l
Aeg
e
a
n
c
o
n
fer
e
n
c
e
,
2
0
1
1
.
[1
9
]
M.
Be
n
c
h
a
g
ra
,
e
t
a
l.
,
―
Ne
w
c
o
n
tro
l
stra
teg
y
f
o
r
in
d
u
c
ti
n
g
e
n
e
ra
to
r
-
w
in
d
tu
rb
i
n
e
c
o
n
n
e
c
ted
g
rid
,
‖
M
u
lt
ime
d
i
a
c
o
mp
u
ti
n
g
a
n
d
sy
s
tem
s (
icm
c
s),
2
0
1
2
in
ter
n
a
ti
o
n
a
l
c
o
n
fer
e
n
c
e
,
2
0
1
2
.
[2
0
]
Y
.
C
h
e
n
,
e
t
a
l.
,
―
A
c
o
n
tro
l
stra
teg
y
o
f
d
irec
t
d
riv
e
n
p
e
r
m
a
n
e
n
t
m
a
g
n
e
t
s
y
n
c
h
ro
n
o
u
sg
e
n
e
ra
to
r
f
o
r
m
a
x
i
m
u
m
p
o
w
e
r
p
o
i
n
t
trac
k
in
g
in
w
in
d
t
u
rb
in
e
a
p
p
li
c
a
ti
o
n
,
‖
El
e
c
trica
l
M
a
c
h
i
n
e
s
a
n
d
sy
ste
m,
2
0
0
8
ICEM
S
,
In
ter
n
a
t
io
n
a
l
c
o
n
fer
e
n
c
e
,
2
0
0
8
.
[2
1
]
Y.
Err
a
m
i,
e
t
a
l.
,
―
M
o
d
e
ll
i
n
g
a
n
d
c
o
n
tr
o
l
stra
teg
y
o
f
P
M
S
G
b
a
se
d
v
a
riab
le
sp
e
e
d
w
in
d
e
n
e
rg
y
Co
n
v
e
rsio
n
sy
ste
m
,
‖
M
u
lt
ime
d
ia
c
o
mp
u
ti
n
g
a
n
d
sy
ste
ms
(
IC
M
CS
),
2
0
1
1
in
ter
n
a
ti
o
n
a
l
c
o
n
fer
e
n
c
e
,
2
0
1
1
.
[2
2
]
V.
M
e
e
n
a
k
sh
i
a
n
d
S.
P
a
ra
m
a
siv
a
m
,
―
M
o
d
e
li
n
g
a
n
d
S
im
u
latio
n
o
f
P
M
S
G
u
sin
g
S
VP
W
M
S
w
it
c
h
i
n
g
T
e
c
h
n
iq
u
e
,
‖
In
te
rn
a
t
io
n
a
l
J
o
u
rn
a
lOf
Ap
p
li
e
d
En
g
i
n
e
e
rin
g
Res
e
a
rc
h
,
v
ol
/i
ss
u
e
:
10
(
6
),
2
0
1
5
.
[2
3
]
S
.
F
a
n
,
e
t
a
l.
,
―
A
n
e
w
se
n
so
rles
s
c
o
n
tro
l
stra
teg
y
u
se
d
in
d
ir
e
c
t
-
d
riv
e
P
M
S
G
w
in
d
p
o
w
e
r
s
y
ste
m
,
‖
Po
we
r
El
e
c
tro
n
ics
fo
r
Distri
b
u
te
d
Ge
n
e
ra
ti
o
n
S
y
ste
ms
(
PE
DG
),
2
nd
IEE
E
In
ter
n
a
ti
o
n
a
l
S
y
mp
o
siu
m
,
2
0
1
0
.
[2
4
]
M.
B.
B.
S
h
a
rif
ian
,
e
t
a
l.
,
―
F
ield
o
rien
ted
c
o
n
tr
o
l
o
f
p
e
rm
a
n
e
n
t
m
a
g
n
e
t
s
y
n
c
h
ro
n
o
u
s
m
o
to
r
u
sin
g
p
re
d
ictiv
e
sp
a
c
e
v
e
c
to
r
m
o
d
u
latio
n
,
‖
I
n
d
u
stria
l
El
e
c
tro
n
ics
&
a
p
p
li
c
a
t
io
n
s
,
2
0
0
9
.
[2
5
]
E
. E.
M
.
Ra
sh
a
d
,
―
S
tab
i
li
ty
L
i
m
it
s o
f
S
a
tu
ra
ted
In
terio
r
P
e
rm
a
n
e
n
t
M
a
g
n
e
t
M
o
t
o
rs
,
‖
IEE
E
PE
DS
,
2
0
0
8
.
[2
6
]
G
.
S
tu
m
b
e
rg
e
r,
e
t
a
l.
,
―
Ex
p
e
rim
e
n
tal
M
e
t
h
o
d
f
o
r
De
term
in
in
g
M
a
g
n
e
ti
c
a
ll
y
No
n
li
n
e
a
r
C
h
a
ra
c
teristics
o
f
El
e
c
tri
c
M
a
c
h
in
e
s
W
it
h
M
a
g
n
e
ti
c
a
ll
y
No
n
li
n
e
a
r
a
n
d
A
n
iso
tr
o
p
ic
Iro
n
Co
r
e
,
Da
m
p
in
g
W
in
d
in
g
s,
a
n
d
P
e
rm
a
n
e
n
t
M
a
g
n
e
ts
,
‖
T
ECE
S
,
Res
e
a
rc
h
a
n
d
De
v
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me
n
t
Ce
n
tre
o
f
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e
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trica
l
M
a
c
h
in
e
s
,
Po
b
re
sk
a
c
e
sta
,
M
a
ri
b
o
r,
S
lo
v
e
n
ia
,
2
0
0
0
.
[2
7
]
B
.
S
t
u
m
b
e
rg
e
r,
e
t
a
l.
,
―
Ev
a
lu
a
ti
o
n
o
f
S
a
tu
ra
ti
o
n
a
n
d
Cr
o
ss
-
M
a
g
n
e
ti
z
a
ti
o
n
Ef
f
e
c
ts
in
In
teri
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r
P
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r
m
a
n
e
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t
M
a
g
n
e
t
S
y
n
c
h
ro
n
o
u
s
M
o
to
r
,
‖
M
a
rib
o
r
,
S
l
o
v
e
n
ia
,
2
0
0
0
.
[2
8
]
―
F
u
n
d
a
m
e
n
tals o
f
p
o
ly
p
h
a
se
e
lec
t
ric m
o
to
rs
,
‖
L
in
c
o
l
n
e
lec
tric
J
o
u
r
n
a
l
,
2
0
0
5
.
[2
9
]
C
.
P
e
re
ra
,
―
S
e
n
so
rles
s
Co
n
tr
o
l
o
f
P
e
rm
a
n
e
n
t
M
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g
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e
t
S
y
n
c
h
ro
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o
u
s
M
o
t
o
r
Driv
e
s
,
‖
P
HD
T
h
e
sis,
A
a
lb
o
rg
Un
iv
e
rsit
y
,
2
0
0
8
.
[3
0
]
M
o
u
n
ik
a
K
.
a
n
d
K
.
Ba
b
u
B.
,
―
S
in
u
s
o
id
a
l
a
n
d
s
p
a
c
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v
e
c
to
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e
w
id
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m
o
d
u
latio
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f
o
r
in
v
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In
ter
n
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ti
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a
l
J
o
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rn
a
l
o
f
E
n
g
i
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g
T
re
n
d
s a
n
d
T
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c
h
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T
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v
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l/
issu
e
:
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)
,
p
p
.
1
0
1
2
–
7
,
2
0
1
3
.
[3
1
]
G
.
D.
Ho
lm
e
s
a
n
d
T
.
A
.
L
ip
o
,
―
P
u
lse
W
id
th
M
o
d
u
latio
n
f
o
r
P
o
w
e
r
Co
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v
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rters
-
P
ri
n
c
ip
les
a
n
d
P
ra
c
ti
c
e
,
‖
IEE
E
Pre
ss
S
e
rie
s o
n
Po
we
r E
n
g
.
,
Jo
h
n
W
il
e
y
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n
d
S
o
n
s
,
P
isc
a
taw
a
y
,
N
J,
USA
,
2
0
0
3
.
[3
2
]
M.
S.
A
sp
a
ll
i
a
n
d
A
.
W
a
m
a
n
ra
o
,
―
S
i
n
u
so
i
d
a
l
P
u
lse
W
id
th
M
o
d
u
latio
n
(S
P
W
M
)
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it
h
V
a
r
iab
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Ca
rrier
S
y
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c
h
ro
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iza
ti
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n
f
o
r
M
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l
ti
lev
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l
In
v
e
rter Co
n
tro
ll
e
rs
,
‖
IEE
E
X
p
lo
re
,
2
0
1
0
.
[3
3
]
N
.
A
d
h
a
v
,
―
Co
m
p
a
riso
n
a
n
d
I
m
p
le
m
e
n
tatio
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o
f
Diff
e
re
n
t
P
W
M
S
c
h
e
m
e
s
o
f
In
v
e
rter
in
W
in
d
T
u
rb
i
n
e
,
‖
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
I
n
n
o
v
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ti
v
e
T
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c
h
n
o
l
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g
y
a
n
d
Exp
l
o
rin
g
E
n
g
in
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e
rin
g
(
IJ
IT
EE
)
,
v
ol
/i
ss
u
e
:
2
(
2
),
2
0
1
3
.
[3
4
]
N.
I.
Ra
iu
,
e
t
a
l.
,
―
S
t
u
d
y
o
f
S
P
W
M
Tec
h
n
iq
u
e
sim
u
lati
o
n
o
f
d
e
sig
n
e
d
a
n
a
lo
g
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ircu
it
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A
m
p
)
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n
tr
o
ll
e
d
t
h
re
e
p
h
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se
P
W
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i
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v
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w
it
h
h
a
rm
o
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ic
Re
d
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c
t
io
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P
W
M
i
n
v
e
rter
w
it
h
h
a
rm
o
n
ic
re
d
u
c
ti
o
n
,
‖
I
n
fo
rm
a
ti
o
n
,
El
e
c
tro
n
ics
&
Vi
sio
n
(
ICIEV
),
2
0
1
3
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
IEE
E
,
2
0
1
3
.
[3
5
]
A
.
Iq
b
a
l,
e
t
a
l.
,
―
M
a
tl
a
b
/S
im
u
li
n
k
M
o
d
e
l
o
f
S
p
a
c
e
V
e
c
to
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P
W
M
f
o
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th
re
e
-
p
h
a
se
v
o
lt
a
g
e
so
u
rc
e
in
v
e
rter,‖
c
o
n
f
e
re
n
c
e
p
a
p
e
r
o
c
to
b
e
r
2
0
0
6
d
o
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1
0
.
1
1
0
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p
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c
.
2
0
0
6
.
3
6
7
6
4
6
so
u
r
c
e
:
iee
e
x
p
lo
re
.
[3
6
]
M
.
P
.
Ka
z
m
ierk
o
w
s
k
i,
e
t
a
l
.,
―
C
o
n
tro
l
in
p
o
w
e
r
e
lec
tro
n
ics
-
se
lec
ted
p
r
o
b
lem
s,
‖
A
c
a
d
e
m
ic
P
re
ss
,
Ca
li
f
o
rn
ia,US
A
,
2
0
0
2
.
[3
7
]
K.
V
.
Ku
m
a
r,
e
t
a
l.
,
―
S
im
u
latio
n
a
n
d
Co
m
p
a
riso
n
o
f
S
P
W
M
a
n
d
S
VP
W
M
c
o
n
tr
o
l
f
o
r
th
re
e
p
h
a
se
in
v
e
rter
,
‖
AR
PN
J
o
u
rn
a
l
o
f
E
n
g
i
n
e
e
rin
g
a
n
d
A
p
p
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d
S
c
ien
c
e
s
,
v
o
l/
issu
e
:
5
(
7
)
,
2
0
1
0
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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1167
[3
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A
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H
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rn
a
n
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z
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a
l.
,
‗Co
m
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VP
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T
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Pro
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CECS
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S
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n
F
ra
n
c
isc
o
,
USA
,
v
o
l.
1
,
2
0
1
3
.
[3
9
]
N
.
A
d
h
a
v
,
―
Co
m
p
a
riso
n
a
n
d
I
m
p
le
m
e
n
tatio
n
o
f
Diff
e
re
n
t
P
W
M
S
c
h
e
m
e
s
o
f
In
v
e
rter
in
W
in
d
T
u
rb
in
e
,
‖
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
I
n
n
o
v
a
ti
v
e
T
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c
h
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o
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y
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n
d
Exp
l
o
rin
g
E
n
g
in
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e
rin
g
(
IJ
IT
EE
)
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v
ol
/i
ss
u
e
:
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(
2
)
,
2
0
1
3
.
[4
0
]
W.
A
h
m
e
d
a
n
d
S
.
M
.
U
.
A
li
,
―
Co
m
p
a
ra
ti
v
e
stu
d
y
o
f
S
V
P
W
M
(
sp
a
c
e
v
e
c
to
r
p
u
lse
w
id
th
m
o
d
u
latio
n
)
&
S
P
W
M
(sin
u
so
i
d
a
l
p
u
lse
w
id
th
m
o
d
u
latio
n
)
b
a
se
d
th
re
e
p
h
a
se
v
o
lt
a
g
e
so
u
rc
e
in
v
e
rters
f
o
r
v
a
riab
le
sp
e
e
d
d
riv
e
,
‖
ICS
ICCS
T
2
0
1
3
,
IOP
Co
n
f.
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
,
v
o
l.
51
,
2
0
1
3
.
[4
1
]
Z
.
Yu
a
n
a
n
d
J
.
C
h
e
n
g
,
―
R
e
se
a
rc
h
o
n
sp
a
c
e
v
e
c
to
r
p
wm
in
v
e
rter
b
a
se
d
o
n
a
rti
f
ica
l
n
e
u
ra
l
n
e
tw
o
rk
,
‖
Co
mp
u
t
a
ti
o
n
a
l
In
telli
g
e
n
c
e
a
n
d
d
e
si
g
n
(
isc
id
),
2
0
1
3
six
t
h
in
ter
n
a
ti
o
n
a
l
sy
mp
o
siu
m
,
2
0
1
3
.
[4
2
]
Y
.
Zh
e
z
h
i,
e
t
a
l
.
,
―
S
t
u
d
y
o
f
si
m
p
li
f
ied
sv
p
wm
a
lg
o
rit
h
m
b
a
se
d
o
n
th
re
e
lev
e
l
In
v
e
rter
,
‖
POW
ER
El
e
c
tro
n
ics
a
n
d
mo
ti
o
n
c
o
n
tro
l
c
o
n
fer
e
n
c
e
,
2
0
0
9
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p
e
mc
‘0
9
,
IEE
E
6
th
in
ter
n
a
ti
o
n
a
l
,
2
0
0
9
.
[4
3
]
A.
M
a
a
m
o
u
n
,
e
t
a
l.
,
―
S
p
a
c
e
–
Ve
c
to
r
p
wm
in
v
e
rter
f
e
e
d
in
g
a
sm
a
ll
in
d
u
c
ti
o
n
m
o
to
r
,
‖
2
0
0
7
I
E
EE
in
ter
n
a
ti
o
n
c
o
n
fer
e
n
c
e
o
n
me
c
h
a
tro
n
ics
,
2
0
0
7
.
[4
4
]
M
.
Ha
m
d
i,
e
t
a
l
.
,
―S
p
a
c
e
v
e
c
to
r
p
u
lse
w
id
th
m
o
d
u
latio
n
o
f
M
u
l
ti
lev
e
l
in
v
e
rters
,
a
n
e
w
m
e
th
o
d
f
o
r
se
lec
ti
n
g
th
e
a
p
p
ro
p
riate
sm
a
ll
h
e
x
a
g
o
n
,
‖
IEC
ON
3
8
t
h
a
n
n
u
a
l
c
o
n
fer
e
n
c
e
o
n
I
E
EE
in
d
u
stri
a
l
e
lec
tro
n
ics
so
c
iety
,
2
0
1
2
.
[4
5
]
J
.
P
ra
d
e
e
p
a
n
d
R.
De
v
a
n
a
th
a
n
,
―
Co
m
p
a
ra
ti
v
e
a
n
a
l
y
sis
a
n
d
sim
u
latio
n
o
f
P
W
M
a
n
d
S
VP
W
M
in
v
e
rter
f
e
d
P
e
rm
a
n
e
n
t
m
a
g
n
e
ts
y
n
c
h
ro
n
o
u
s
m
o
to
r,
‖
Eme
rg
in
g
T
re
n
d
s
in
El
e
c
trica
l
En
g
i
n
e
e
rin
g
a
n
d
En
e
rg
y
a
n
a
g
e
me
n
t
(
ICET
EE
EM
)
,
2
0
1
2
.
[4
6
]
Ba
i
B
.
J
.
a
n
d
R
.
Ku
m
a
r
C.
,
―
D
y
n
a
m
ic
m
o
d
e
l
a
n
d
c
o
n
tro
l
o
f
DFIG
w
in
d
e
n
e
rg
y
s
y
ste
m
s
b
a
s
e
d
o
n
p
o
w
e
r
tran
s
f
e
r
m
a
tri
x
u
sin
g
S
VP
W
M
,
‖
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
E
lec
trica
l
a
n
d
El
e
c
tro
n
ics
En
g
in
e
e
rin
g
(
IJ
EE
E)
,
v
o
l/
issu
e
:
3
(1
)
,
p
p
.
27
–
36
,
2
0
1
4
.
[4
7
]
Y
.
L
iu
,
e
t
a
l
.
, ―
R
e
se
a
rc
h
b
a
se
d
o
n
sv
p
wm
m
e
th
o
d
o
f
th
re
e
lev
e
l
in
v
e
rter
,
‖
C
o
n
tro
l
c
o
n
fer
e
n
c
e
(
c
c
c
)
,
2
0
1
1
.
[4
8
]
T.
V
.
Ku
m
a
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[4
9
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―
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0
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Ku
m
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K
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t
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im
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p
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[5
2
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S
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p
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–
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3
.
[5
3
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Ku
b
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ri
M
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t
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l
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,
―
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p
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v
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to
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sim
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C
in
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d
Aca
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my
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[5
4
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F
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―
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tab
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p
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ter
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Res
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(
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.
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5
]
R.
Ra
jen
d
ra
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a
n
d
N.
De
v
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ra
jan
,
―
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P
G
A
I
m
p
le
m
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n
tatio
n
Of
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p
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V
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to
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iq
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tag
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Driv
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2
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c
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d
In
ter
n
a
ti
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a
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fer
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n
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n
Co
mp
u
ter
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n
d
El
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trica
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2
0
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.
B
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RAP
H
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tri
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th
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b
a
m
a
Un
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m
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[
En
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rv
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Div
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]
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ro
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2
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c
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n
d
id
a
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.
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