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DFIG
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).
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NP
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NSVP
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@
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co
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1.
I
NT
RO
D
UCT
I
O
N
T
r
a
d
itio
n
all
y
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p
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ls
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w
id
t
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m
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d
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latio
n
(
P
W
M)
is
m
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s
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p
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p
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lar
tec
h
n
iq
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e
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s
ed
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t
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AC
m
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e
d
r
iv
es.
T
h
e
P
W
M
s
tr
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is
s
i
m
p
le
an
d
ea
s
y
to
i
m
p
le
m
e
n
t
[
1
]
.
B
u
t,
th
is
tech
n
iq
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e
g
i
v
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m
o
r
e
to
tal
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(
T
HD)
o
f
cu
r
r
en
t
an
d
v
o
lta
g
e
o
u
tp
u
t
[
2
]
.
T
h
i
s
s
t
r
ateg
y
i
s
u
n
ab
le
to
f
u
ll
y
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tili
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a
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C
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s
s
u
p
p
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o
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g
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th
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I
[
3
]
.
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n
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r
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er
to
o
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co
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d
r
a
w
b
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W
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tech
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iq
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e,
s
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v
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to
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p
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e
w
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m
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latio
n
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SVP
W
M)
s
tr
ateg
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as
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ee
n
p
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ese
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ted
[
4
-
6
]
.
T
h
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tr
ate
g
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ase
d
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th
e
p
r
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cip
les
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d
n
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d
to
ca
lcu
late
o
f
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g
le
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[
7
]
.
T
h
is
s
tr
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g
i
v
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1
5
%
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o
r
e
v
o
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P
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M
m
et
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y
in
cr
ea
s
in
g
th
e
D
C
b
u
s
u
tili
za
tio
n
[
8
]
.
On
t
h
e
o
th
er
h
a
n
d
,
th
is
s
tr
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y
r
ed
u
ce
s
t
h
e
T
HD
v
alu
e
o
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c
u
r
r
en
t/v
o
lta
g
e
co
m
p
ar
ed
to
th
e
P
W
M
s
tr
ateg
y
.
I
n
[
9
]
,
th
e
au
t
h
o
r
h
as
p
r
o
p
o
s
ed
a
n
e
w
SVP
W
M
s
tr
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y
,
t
h
i
s
s
tr
ate
g
y
b
ased
o
n
ca
lc
u
lat
in
g
m
i
n
i
m
u
m
(
Min
)
an
d
m
ax
i
m
u
m
(
Ma
x
)
o
f
th
r
ee
-
p
h
a
s
e
v
o
ltag
e
s
.
S
VP
W
M
an
d
a
r
tif
icial
n
e
u
r
al
n
et
w
o
r
k
s
(
A
NNs)
c
o
n
tr
o
ller
ar
e
co
m
b
in
ed
to
co
n
tr
o
l
DFI
G
-
b
ased
w
i
n
d
t
u
r
b
in
e
[
1
0
]
.
Fu
zz
y
S
VP
W
M
(
FS
V
P
W
M)
is
p
r
o
p
o
s
ed
to
r
eg
u
late
th
e
s
tato
r
r
ea
ctiv
e
an
d
ac
tiv
e
p
o
w
er
o
f
th
e
D
FIG
[
1
1
]
.
I
n
[
1
2
]
,
a
r
ea
ctiv
e
an
d
ac
tiv
e
p
o
w
er
p
r
o
p
o
r
tio
n
al
-
i
n
teg
r
al
(
P
I
)
co
n
tr
o
ller
s
an
d
th
r
ee
-
lev
el
F
S
VP
W
M
s
tr
ateg
y
w
er
e
co
m
b
in
ed
to
r
eg
u
late
th
e
elec
tr
o
m
a
g
n
etic
to
r
q
u
e
an
d
cu
r
r
en
t
o
f
th
e
D
FIG
.
I
n
[
1
3
]
,
a
th
r
ee
-
le
v
el
n
e
u
r
al
SVP
W
M
s
tr
ateg
y
o
f
a
DFI
G
w
a
s
p
r
esen
ted
.
I
n
[
1
4
]
,
f
o
u
r
-
l
ev
el
SVP
W
M
b
ased
o
n
FLC
co
n
tr
o
l
to
r
eg
u
late
th
e
ac
tiv
e
an
d
r
ea
ctiv
e
p
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w
er
o
f
th
e
DFI
G.
F
ield
o
r
ien
ted
co
n
tr
o
l
(
FOC
)
u
s
in
g
P
I
co
n
tr
o
ller
s
ar
e
t
h
e
tr
ad
itio
n
al
s
tr
ateg
y
u
s
ed
f
o
r
DFI
G.
I
n
[
1
5
]
,
FOC
co
n
tr
o
l
is
th
e
m
o
s
t
p
o
p
u
lar
tech
n
iq
u
e
u
s
ed
in
th
e
DFI
G
-
b
ased
w
i
n
d
en
er
g
y
co
n
v
er
s
io
n
s
y
s
te
m
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8792
I
n
t J
A
p
p
l P
o
w
er
E
n
g
,
Vo
l.
9
,
No
.
2
,
A
u
g
u
s
t 2
0
2
0
:
1
5
9
–
1
7
2
160
T
h
e
FOC
is
s
i
m
p
le
an
d
ea
s
y
to
im
p
le
m
e
n
t
[
1
6
]
.
I
n
th
is
s
tr
ateg
y
t
h
e
d
ec
o
u
p
lin
g
q
-
a
x
is
a
n
d
d
-
ax
i
s
cu
r
r
en
t
i
s
ac
h
iev
ed
w
it
h
f
ee
d
f
o
r
w
ar
d
co
m
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at
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n
,
an
d
th
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s
th
e
DF
I
G
m
o
d
el
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ec
o
m
e
s
less
d
if
f
ic
u
lt
an
d
P
I
r
eg
u
lato
r
s
ca
n
b
e
u
s
ed
[
1
7
]
.
On
th
e
o
th
er
h
a
n
d
,
th
i
s
s
tr
ateg
y
g
i
v
es
m
o
r
e
T
HD
v
al
u
e
o
f
s
t
ato
r
cu
r
r
en
t/
v
o
ltag
e
an
d
elec
tr
o
m
ag
n
etic
to
r
q
u
e
r
ip
p
les [
1
8
]
.
Fo
r
r
o
b
u
s
t
an
d
h
i
g
h
p
er
f
o
r
m
an
ce
s
FOC
,
a
s
l
id
in
g
m
o
d
e
co
n
tr
o
ller
(
SMC
)
w
a
s
s
tu
d
ied
i
n
th
e
liter
at
u
r
e
[
1
9
-
2
1
]
.
SMC
b
ased
o
n
th
eo
r
y
o
f
v
ar
iab
le
s
tr
u
ct
u
r
e
s
y
s
te
m
s
(
VS
S)
h
a
s
b
ee
n
e
x
te
n
s
i
v
el
y
e
m
p
lo
y
ed
f
o
r
n
o
n
l
in
ea
r
s
y
s
t
e
m
s
[
2
2
]
.
I
t
is
an
ef
f
ec
ti
v
e,
h
ig
h
f
r
eq
u
e
n
c
y
s
w
itc
h
i
n
g
co
n
tr
o
l
s
tr
ateg
y
f
o
r
n
o
n
li
n
ea
r
s
y
s
te
m
s
w
i
th
u
n
ce
r
t
ain
tie
s
.
I
t
ca
n
o
f
f
er
m
a
n
y
g
o
o
d
p
r
o
p
er
ties
s
u
ch
as
g
o
o
d
p
er
f
o
r
m
a
n
ce
s
a
g
ai
n
s
t
u
n
m
o
d
eled
d
y
n
a
m
ics,
in
s
e
n
s
i
tiv
it
y
to
p
ar
am
eter
s
v
ar
iatio
n
,
ex
t
er
n
al
d
is
t
u
r
b
an
ce
r
ej
ec
tio
n
an
d
f
ast
d
y
n
a
m
ic
r
esp
o
n
s
e
[
2
3
]
.
A
n
eu
r
al
s
lid
i
n
g
m
o
d
e
co
n
tr
o
ller
(
NSMC)
is
to
co
n
tr
o
l
th
e
DFI
G
[
2
4
]
.
A
d
is
cr
ete
SMC
is
d
esig
n
ed
to
r
eg
u
late
th
e
r
ea
l
an
d
r
ea
ctiv
e
p
o
w
er
o
f
DFI
G
[
2
5
]
.
I
n
[
2
6
]
,
an
in
teg
r
al
SM
C
co
n
tr
o
l
w
as
d
esi
g
n
ed
to
r
eg
u
late
th
e
s
tato
r
r
ea
ctiv
e
p
o
w
er
an
d
elec
tr
o
m
a
g
n
et
ic
to
r
q
u
e.
I
n
th
is
p
ap
er
,
w
e
ap
p
ly
th
e
FS
MC
co
n
tr
o
l
to
th
e
DFI
G
u
s
i
n
g
th
e
NP
W
M
s
t
r
ateg
y
a
n
d
co
m
p
ar
ed
w
it
h
th
e
NSVP
W
M
s
tr
ateg
y
.
2.
M
O
DE
L
I
N
G
O
F
T
H
E
DF
I
G
A
m
o
d
el
o
f
th
e
DFI
G
is
p
r
e
s
en
ted
i
n
liter
at
u
r
e
[
2
7
,
2
8
]
.
I
n
th
e
P
ar
k
r
ef
er
e
n
ce
f
r
a
m
e,
th
e
r
o
to
r
an
d
s
tato
r
v
o
ltag
e
eq
u
atio
n
s
o
f
th
e
DFI
G
ar
e
g
i
v
e
n
as f
o
llo
ws:
T
h
e
r
o
to
r
an
d
s
tato
r
f
lu
x
es e
q
u
atio
n
s
ar
e
g
i
v
en
a
s
f
o
llo
w
s
:
T
h
e
elec
tr
o
m
a
g
n
et
ic
to
r
q
u
e
ca
n
b
e
ex
p
r
ess
ed
as:
T
h
e
elec
tr
o
m
a
g
n
et
ic
to
r
q
u
e
in
th
e
m
ec
h
a
n
ical
eq
u
at
io
n
o
f
t
h
e
DFI
G
is
d
ef
i
n
ed
as f
o
llo
w
s
:
T
h
e
s
tato
r
ac
tiv
e
an
d
s
tato
r
r
ea
ctiv
e
p
o
w
er
s
ca
n
b
e
ex
p
r
ess
e
d
as:
ψ
ω
ψ
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I
R
V
ψ
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dr
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qr
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qr
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qs
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s
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1
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dr
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qs
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MI
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L
MI
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MI
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L
(
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r
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4
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2
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V
I
V
Q
I
V
I
V
P
(
5
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
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A
p
p
l P
o
w
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n
g
I
SS
N:
2252
-
8792
C
o
mp
a
r
is
o
n
s
tu
d
y
b
etw
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n
N
P
WM
a
n
d
N
S
V
P
W
M
s
tr
a
teg
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S
MC
co
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l o
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(
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b
ib
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en
b
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h
en
n
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161
w
h
er
e:
R
r
: R
e
s
i
s
tan
ce
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f
t
h
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in
d
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g
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s
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g
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u
t
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al
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d
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e
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lectr
o
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a
g
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e
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lec
tr
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to
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r
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l
ec
tr
ical
p
u
ls
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o
f
th
e
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o
t
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Ω
:
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ec
h
an
ical
r
o
to
r
s
p
ee
d
P
s
:
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tato
r
ac
tiv
e
p
o
w
er
Q
s
:
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tato
r
r
ea
ctiv
e
p
o
w
er
J
:
I
n
er
tia
f
:
V
is
co
u
s
f
r
ictio
n
co
ef
f
icie
n
t
p
:
N
u
m
b
er
o
f
p
o
le
p
air
s
3.
NE
URA
L
P
UL
SE
WI
D
T
H
M
O
DULAT
I
O
N
Usi
n
g
th
e
tr
ad
itio
n
al
P
W
M
s
tr
ateg
y
p
r
o
v
id
es
m
a
n
y
ad
v
a
n
ta
g
es,
s
u
c
h
as
s
i
m
p
le
m
o
d
u
latio
n
an
d
ea
s
y
i
m
p
le
m
en
ta
tio
n
.
O
n
th
e
o
t
h
e
r
h
an
d
,
th
e
m
aj
o
r
p
r
o
b
lem
o
f
th
e
tr
ad
itio
n
al
P
W
M
s
tr
ateg
y
i
s
th
e
h
ar
m
o
n
ic
d
is
to
r
tio
n
o
f
v
o
lta
g
e
a
n
d
cu
r
r
en
t
ca
u
s
ed
b
y
th
e
h
y
s
ter
e
s
is
co
m
p
ar
ato
r
s
.
T
h
e
tr
ad
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n
al
P
W
M
s
tr
ate
g
y
d
esig
n
ed
to
co
n
tr
o
l th
e
t
w
o
-
le
v
el
in
v
er
ter
is
il
lu
s
tr
a
ted
in
Fi
g
u
r
e
1
.
Fig
u
r
e
1
.
C
o
n
v
e
n
tio
n
al
P
W
M
tech
n
iq
u
e
T
o
r
ed
u
ce
th
e
h
ar
m
o
n
ic
d
is
to
r
tio
n
o
f
s
tato
r
cu
r
r
en
t
an
d
v
o
ltag
es
o
f
DFI
G,
w
e
h
a
v
e
ap
p
lied
th
e
NP
W
M
s
tr
ate
g
y
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h
e
p
r
in
cip
le
o
f
th
e
NP
W
M
s
tr
a
teg
y
is
s
i
m
ilar
to
tr
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a
l
P
W
M
s
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ateg
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h
e
d
if
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er
e
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ce
r
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lts
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et
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ller
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lace
th
e
h
y
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ter
esi
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m
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ato
r
s
.
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s
s
h
o
wn
in
Fi
g
u
r
e
2
.
T
h
is
s
tr
ateg
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s
i
m
p
le
m
o
d
u
latio
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s
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h
e
m
e
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d
ea
s
y
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i
m
p
le
m
en
t.
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h
is
p
r
o
p
o
s
ed
s
tr
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ed
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ce
s
th
e
h
ar
m
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ic
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to
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o
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s
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r
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i
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m
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m
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ip
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les
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th
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DFI
G
-
b
ased
w
i
n
d
tu
r
b
i
n
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8792
I
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A
p
p
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9
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2
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s
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–
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162
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u
r
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2
.
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e
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g
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ith
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ra
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R
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AL
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m
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ar
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p
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T
ab
le
1
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h
e
b
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o
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n
Fig
u
r
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3
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h
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n
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g
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3
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I
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p
p
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w
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I
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N:
2252
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8792
C
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a
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a
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d
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V
P
W
M
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tr
a
teg
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in
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S
MC
co
n
tr
o
l o
f…
(
Ha
b
ib
B
en
b
o
u
h
en
n
i
)
163
Fig
u
r
e
5
.
L
a
y
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2
4.
NE
URA
L
SPAC
E
V
E
CT
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R
P
UL
SE
WI
D
T
H
M
O
DULAT
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Fig
u
r
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6
s
h
o
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ate
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ased
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s
[
2
9
]
.
T
h
is
s
tr
ate
g
y
n
o
t
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to
ca
lc
u
lated
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n
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d
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ith
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al
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n
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e.
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h
i
s
s
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s
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[
3
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.
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n
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ate
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l
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r
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m
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co
m
p
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ato
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s
is
s
h
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n
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n
Fi
g
u
r
e
7
.
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h
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p
r
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v
an
ta
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o
f
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SVP
W
M
s
tr
ate
g
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is
t
h
at
t
h
e
h
ar
m
o
n
ic
d
is
to
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n
o
f
s
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r
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en
t
a
n
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.
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o
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ac
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VP
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s
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ased
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
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2252
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8792
I
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