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Vo
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T
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Fig
u
r
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1
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Gen
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3.
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8
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T
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n
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ce
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is
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h
e
d
ir
ec
t
in
p
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t
v
o
ltag
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d
is
t
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ib
u
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th
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le
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o
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h
e
n
u
m
b
er
o
f
le
v
els i
s
co
m
p
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ted
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m
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la
[
9
]
:
N
=P
-
1
N
: n
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v
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F
ig
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2
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Fig
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2
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leg
NP
C
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e
v
en
le
v
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i
n
v
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ter
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I
J
E
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I
SS
N:
2
0
8
8
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C
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a
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(
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k
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d
j B
en
a
li
)
1781
4.
ACTI
VE
F
I
L
T
E
R
CO
N
T
R
O
L
A
s
s
h
o
w
n
i
n
Fi
g
u
r
e
1
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e
co
n
tr
o
l
p
ar
t
is
g
en
er
all
y
d
i
v
id
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to
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w
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s
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h
e
f
ir
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o
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e,
w
h
ic
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is
o
f
s
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g
n
i
f
ica
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t
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ate
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m
o
n
ic
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als
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cial
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t
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e
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e
f
ilter
p
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o
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m
a
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ce
.
4.1.
G
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at
i
on o
f
R
e
f
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ce
Signal
s by
t
he In
st
an
t
ane
ous R
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t
i
v
e
P
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A
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gor
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t
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m
T
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ased
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ele
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ical
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r
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r
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t
n
e
g
ati
v
e
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eq
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en
ce
co
m
p
o
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e
n
t
s
[
9
]
,
[
1
0
]
.
T
h
is
m
eth
o
d
i
s
eq
u
all
y
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alid
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tr
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n
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m
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t
t
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[
1
1
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v
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3
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1
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2
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t r
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p
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w
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ase
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te
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i
v
v
v
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q
p
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3
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h
at
g
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s
:
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v
i
v
p
.
.
(
4
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i
v
i
v
p
.
.
(
5
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T
h
e
in
s
tan
t a
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d
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h
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in
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t f
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w
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ex
p
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ess
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y
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h
e
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p
p
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6
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q
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~
(
7
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d
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r
esp
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r
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3
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o
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ilter
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h
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s
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ll b
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ca
lcu
lated
b
y
t
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f
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w
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f
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m
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la:
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2
3
2
3
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2
1
2
1
1
2
3
*
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i
i
i
i
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c
b
a
(
9
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
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0
8
8
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J
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Vo
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u
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4
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w
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n
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u
r
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4
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A
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tr
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n
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.
2
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G
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Ref
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ch
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ilte
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T
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ai
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h
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ased
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m
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s
i
g
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T
h
e
m
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m
p
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t
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tag
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o
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ith
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[
1
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th
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[
1
3
]
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2
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2
S
Q
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(
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Evaluation Warning : The document was created with Spire.PDF for Python.
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J
E
C
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N:
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(
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a
r
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k
Ha
d
j B
en
a
li
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1783
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u
r
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5
s
h
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t
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5
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ter
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d
4
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3
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Co
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ll G
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he
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o
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f
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in
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e
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ter
.
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o
l
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als
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e
o
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h
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F
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N
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ian
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s
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at
h
a
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e
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m
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l
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A
p
[
1
4
]
,
[
1
5
]
.
T
h
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er
r
o
r
p
ass
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r
o
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a
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r
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.
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u
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e
6
s
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o
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w
er
tak
es a
lit
tle
lo
n
g
er
b
ef
o
r
e
r
ea
ch
in
g
t
h
is
v
alu
e.
A
t
tr
a
n
s
ie
n
t
s
tate,
th
e
i
n
s
ta
n
tan
eo
u
s
r
ea
cti
v
e
p
o
w
er
tec
h
n
iq
u
e
ac
h
ie
v
e
s
h
i
g
h
er
co
m
p
en
s
atio
n
p
er
f
o
r
m
a
n
ce
s
co
n
ce
r
n
i
n
g
t
h
e
r
esp
o
n
s
e
ti
m
e
w
h
ic
h
is
s
h
o
r
te
r
th
an
th
e
n
o
tch
f
il
ter
o
n
e.
T
h
is
latter
is
th
e
least
ef
f
icien
t r
elatin
g
to
th
e
tr
a
n
s
ie
n
t r
esp
o
n
s
e
ti
m
e.
I
t
ap
p
ea
r
s
f
r
o
m
T
ab
le
2
,
th
at
at
th
e
le
v
el
o
f
t
h
e
f
u
n
d
a
m
e
n
t
al,
th
e
i
n
s
ta
n
ta
n
eo
u
s
r
ea
ctiv
e
p
o
w
er
alg
o
r
it
h
m
is
m
u
c
h
b
etter
th
a
n
t
h
e
n
o
tc
h
f
i
lt
er
alg
o
r
ith
m
.
Fro
m
th
e
s
i
m
u
lat
io
n
r
es
u
lts
(
F
ig
u
r
e
s
an
d
T
ab
le)
:
T
h
e
h
ar
m
o
n
ic
a
m
p
lit
u
d
es
r
ela
ted
to
th
e
f
u
n
d
a
m
en
tal
a
m
p
lit
u
d
e
o
f
t
h
e
4
1
s
t
h
ar
m
o
n
ic
to
t
h
e
4
0
0
t
h
h
ar
m
o
n
ic
h
a
v
e
t
h
e
s
a
m
e
v
al
u
e
s
(
less
t
h
an
0
.
4
%)
f
o
r
b
o
th
r
ef
er
en
ce
cu
r
r
en
t
g
en
er
ati
n
g
tech
n
iq
u
e
s
.
T
h
e
d
if
f
er
en
ce
b
et
w
ee
n
th
e
t
wo
m
et
h
o
d
s
is
w
i
th
i
n
t
h
e
5
th
h
a
r
m
o
n
ic
a
n
d
th
e
4
1
s
t h
ar
m
o
n
ic.
T
h
e
in
s
ta
n
ta
n
eo
u
s
r
ea
cti
v
e
p
o
w
er
:
f
r
o
m
t
h
e
5
th
h
ar
m
o
n
i
c
to
th
e
7
th
h
ar
m
o
n
ic,
t
h
e
h
ar
m
o
n
ic
a
m
p
lit
u
d
e
r
elate
d
to
th
e
h
ar
m
o
n
ic
f
u
n
d
a
m
e
n
tal
v
ar
ies
f
r
o
m
0
.
9
2
% to
0
.
6
2
%.
An
d
f
r
o
m
t
h
e
8
th
h
ar
m
o
n
ic
to
th
e
4
1
s
t
h
ar
m
o
n
ic,
t
h
e
h
a
r
m
o
n
ic
a
m
p
lit
u
d
e
r
elate
d
to
th
e
f
u
n
d
a
m
e
n
tal
a
m
p
lit
u
d
e
is
les
s
th
a
n
0
.
4
%.
T
h
e
n
o
tch
f
ilter
:
f
r
o
m
t
h
e
5
th
h
ar
m
o
n
ic
to
th
e
2
9
th
h
ar
m
o
n
i
c,
th
e
h
ar
m
o
n
ic
a
m
p
lit
u
d
e
r
elate
d
to
th
e
f
u
n
d
a
m
en
ta
l a
m
p
lit
u
d
e
v
ar
ies
f
r
o
m
0
.
8
8
% to
0
.
5
3
%.
An
d
f
r
o
m
th
e
3
0
th
h
ar
m
o
n
ic
to
th
e
4
1
s
t
h
ar
m
o
n
ic,
th
e
h
ar
m
o
n
ic
a
m
p
l
itu
d
e
r
elate
d
to
th
e
f
u
n
d
a
m
en
ta
l a
m
p
lit
u
d
e
v
ar
ies
f
r
o
m
0
.
5
% to
0
.
4
5
%.
7.
CO
NCLU
SI
O
N
I
n
t
h
is
p
ap
er
,
w
e
co
v
er
ed
t
wo
co
n
tr
o
l
alg
o
r
it
h
m
s
;
th
e
co
n
tr
o
l
alg
o
r
ith
m
o
f
i
n
s
tan
ta
n
eo
u
s
r
ea
cti
v
e
p
o
w
er
an
d
th
e
co
n
tr
o
l
alg
o
r
it
h
m
o
f
n
o
t
c
h
f
ilter
f
o
r
a
7
lev
el
ac
ti
v
e
p
ar
allel
f
ilter
.
I
t
en
ab
les
u
s
to
s
ee
t
h
e
in
h
er
e
n
t c
h
ar
ac
ter
is
tics
o
f
ea
c
h
co
n
tr
o
l a
lg
o
r
it
h
m
,
a
s
w
ell
as
th
e
in
tr
icac
ie
s
ex
is
ti
n
g
b
et
w
e
en
th
e
m
.
W
e
ca
n
r
etain
f
r
o
m
t
h
e
s
i
m
u
l
atio
n
r
es
u
lts
th
a
t
t
h
e
s
o
u
r
ce
cu
r
r
en
t
h
as
b
ee
n
clea
r
ed
at
a
p
er
f
o
r
m
i
n
g
lev
el
a
f
ter
ap
p
licatio
n
o
f
t
h
e
7
lev
el
ac
ti
v
e
p
ar
allel
f
i
lter
to
o
u
r
elec
tr
ical
n
et
w
o
r
k
,
co
n
s
eq
u
en
tl
y
a
s
u
b
s
ta
n
tial
i
m
p
r
o
v
e
m
en
t o
f
th
e
T
HD
f
o
r
b
o
th
r
ef
er
en
ce
cu
r
r
e
n
t g
e
n
er
at
in
g
tec
h
n
iq
u
e
s
.
E
x
ce
p
t
th
at
t
h
e
i
n
s
ta
n
ta
n
eo
u
s
r
ea
ctiv
e
p
o
w
er
co
n
tr
o
l
al
g
o
r
ith
m
is
b
etter
th
a
n
t
h
e
n
o
tc
h
f
il
ter
co
n
tr
o
l
alg
o
r
ith
m
co
n
ce
r
n
in
g
t
h
e
h
ar
m
o
n
ic
co
m
p
e
n
s
at
io
n
at
s
tead
y
s
tate.
An
d
at
tr
an
s
ie
n
t
s
tat
e,
th
e
n
o
tch
f
ilter
co
n
tr
o
l te
ch
n
iq
u
e
is
le
s
s
e
f
f
ec
t
iv
e
at
r
esp
o
n
s
e
ti
m
e
le
v
el.
RE
F
E
R
E
NC
E
S
[1
]
R.
Ba
las
u
b
ra
m
a
n
ian
,
e
t
S
.
P
a
lan
i
,
“
S
im
u
latio
n
a
n
d
P
e
rf
o
rm
a
n
c
e
Ev
a
lu
a
ti
o
n
o
f
S
h
u
n
t
Hy
b
rid
P
o
w
e
r
F
il
ter
f
o
r
P
o
w
e
r
Qu
a
li
ty
I
m
p
ro
v
e
m
e
n
t
u
sin
g
P
Q
T
h
e
o
r
y
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
V
o
l
.
6
,
p
p
.
2
6
0
3
-
2
6
0
9
,
A
p
ril
2
0
1
6
.
[2
]
A
li
re
z
a
Ja
v
a
d
i,
“
M
o
d
e
li
n
g
,
S
im
u
latio
n
a
n
d
R
eal
T
ime
Co
n
tro
l
o
f
A
c
ti
v
e
F
il
ter,”
In
:
T
h
è
se
e
n
v
u
e
d
e
l'o
b
te
n
ti
o
n
d
u
Dip
lô
me
d
e
M
a
it
rise
e
s sc
ien
c
e
s a
p
p
li
q
u
é
e
s
.
l'
Un
iv
e
rsité d
e
M
o
n
tr
é
a
l.
2
0
0
9
.
[3
]
S
.
M
o
u
tt
o
u
,
“
No
u
v
e
ll
e
s A
p
p
ro
c
h
e
s d
e
Co
m
m
a
n
d
e
d
'
u
n
F
il
t
re
A
c
ti
f
P
a
ra
ll
è
le à S
o
u
rc
e
d
e
C
o
u
ra
n
t,
”
I
n
:
T
h
è
se
e
n
v
u
e
d
e
l
'
o
b
ten
ti
o
n
d
u
Dip
lô
me
d
e
M
a
it
rise
,
Un
iv
e
rsité d
u
Q
u
é
b
e
c
à
T
ro
is
-
Riv
ière
s.
2
0
0
2
.
[4
]
M
.
Da
b
b
a
g
h
jam
a
n
e
sh
,
A
.
M
o
e
in
i,
M
.
A
sh
k
a
b
o
o
si,
P
.
K
h
a
z
a
e
i
K
.
M
irza
p
a
lan
g
i
,
“
P
e
rf
o
r
m
a
n
c
e
C
o
n
tr
o
l
o
f
G
rid
Co
n
n
e
c
ted
Ca
sc
a
d
e
d
HBri
d
g
e
Ac
ti
v
e
Re
c
t
i
f
ier
Ba
s
e
d
o
n
T
y
p
e
I
I
-
F
u
z
z
y
L
o
g
ic
Co
n
tro
ll
e
r
w
it
h
L
o
w
F
re
q
u
e
n
c
y
M
o
d
u
latio
n
T
e
c
h
n
iq
u
e
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
6
,
p
p
.
4
8
4
-
494
,
A
p
ril
2
0
1
6
.
[5
]
Y.
S
a
h
a
li
e
t
M
.
K.
F
e
ll
a
h
,
“
Prin
c
ip
e
d
e
la
c
o
mp
e
n
s
a
ti
o
n
H
a
rm
o
n
i
q
u
e
d
e
s
On
d
e
s
M
u
lt
in
ive
a
u
x
,
”
In
:
Co
n
f
é
re
n
c
e
o
n
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
,
Ba
tn
a
-
A
LG
ERI
A
,
1
0
-
1
1
De
c
e
m
b
e
r
2
0
0
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
4
,
A
u
g
u
s
t
2017
:
1
7
7
9
–
1
7
8
8
1788
[6
]
S
tee
v
e
B
e
a
u
li
e
u
,
“
Et
u
d
e
e
t
m
i
se
a
u
p
o
in
t
d
'
u
n
f
il
tre
a
c
ti
f
d
'
h
a
rm
o
n
iq
u
e
s
e
n
v
u
e
d
'
a
m
é
li
o
re
r
la
q
u
a
li
té
d
e
l'
a
li
m
e
n
tatio
n
é
lec
tri
q
u
e
,
”
In
:
T
h
è
se
e
n
v
u
e
d
e
l
'
o
b
ten
ti
o
n
d
u
Di
p
lô
me
d
e
M
a
it
rise
e
s
sc
ien
c
e
s
In
g
é
n
i
e
rie.
Un
iv
e
rsité
d
u
Q
u
é
b
e
c
.
2
0
0
7
.
[7
]
S
a
g
a
r
U.
S
h
in
d
e
.
M
i
th
u
n
A
u
sh
,
Dr.
K.V
a
d
iraja
c
h
a
ry
a
,
“
Per
fo
rm
a
n
c
e
An
a
lys
is
o
f
VL
S
I
Ba
se
d
M
u
lt
i
lev
e
l
In
v
e
rte
r”,
In
:
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
In
n
o
v
a
ti
o
n
s
in
En
g
in
e
e
rin
g
a
n
d
T
e
c
h
n
o
lo
g
y
(ICIE
T
’1
4
)
,
M
a
d
u
ra
i,
T
a
m
il
Na
d
u
,
In
d
ia,
M
a
rc
h
2
1
-
2
2
,
2
0
1
4
.
[8
]
F
a
ro
u
k
Ha
d
j
Be
n
a
li
,
e
t
F
o
u
a
d
A
z
o
u
z
,
“
T
h
e
Op
e
ra
ti
n
g
Im
p
ro
v
e
m
e
n
t
o
f
th
e
S
u
p
p
ly
S
o
u
rc
e
a
n
d
t
h
e
Op
ti
m
iza
ti
o
n
o
f
P
W
M
Co
n
tro
l
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
P
o
we
r
El
e
c
tro
n
ics
a
n
d
Dr
ive
S
y
ste
ms
(
I
J
PE
DS
)
,
v
o
l.
6
,
p
p
.
6
0
3
-
6
1
4
,
S
e
p
tem
b
e
r
2
0
1
5
.
[9
]
Jh
o
n
W
il
e
y
,
so
n
s,
“
Ha
n
d
b
o
o
k
o
f
P
o
w
e
r
Qu
a
li
ty
”
,
Ed
it
e
d
b
y
A
n
g
e
l
o
Ba
g
g
in
i,
U
n
iv
e
rsity
o
f
Be
r
g
a
m
o
,
Italy
,
2
0
0
8
.
[1
0
]
D.
Ch
e
n
,
S
.
X
ie,
“
Rev
iew
o
f
th
e
Co
n
tr
o
l
S
tra
te
g
ies
Ap
p
li
e
d
to
Active
Po
we
r
Fi
lt
e
rs
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In
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AP
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4
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:
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to
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(ICIA
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.
[1
5
]
F
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wm
stra
te
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ies
,
"
In
J
o
u
r
n
a
l
o
f
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lec
trica
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n
g
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e
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rin
g
(
J
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e
),
p
p
.
1
7
0
-
1
7
9
,
se
p
tem
b
re
2
0
1
5
.
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