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Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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o
u
tp
u
t
v
o
lta
g
e
d
ep
en
d
s
o
n
t
h
e
s
p
ee
d
o
f
r
o
tatio
n
.
Ma
n
y
ap
p
licatio
n
s
a
n
d
co
n
tr
o
l
s
y
s
te
m
s
w
er
e
ap
p
lied
o
n
t
h
is
s
y
s
te
m
[
1
0
-
1
9
]
.
A
l
s
o
,
m
a
n
y
a
lg
o
r
it
h
m
s
w
er
e
u
s
ed
to
s
u
c
h
p
r
o
b
le
m
s
[
2
0
-
2
5
]
.
I
t
is
p
o
s
s
ib
le
th
at
th
e
m
i
n
i
m
u
m
v
o
ltag
e
a
n
d
m
a
x
i
m
u
m
v
o
lta
g
e
d
if
f
er
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n
ce
co
u
ld
r
ea
ch
f
o
u
r
ti
m
es
i
n
t
h
e
ap
p
licatio
n
s
o
f
V
SW
T
[
2
6
]
.
T
h
is
d
is
ad
v
a
n
ta
g
e
co
u
ld
b
e
s
i
m
p
ly
o
v
er
co
m
e
w
i
th
th
e
h
elp
o
f
a
s
u
itab
le
i
n
ter
f
ac
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n
g
co
n
v
er
ter
.
Op
ti
m
u
m
p
o
w
er
/to
r
q
u
e
tr
ac
k
in
g
s
tr
ate
g
ies
ar
e
co
m
m
o
n
l
y
u
s
ed
as
th
e
y
h
elp
to
ac
h
ie
v
e
o
p
ti
m
u
m
w
i
n
d
e
n
er
g
y
ex
tr
ac
tio
n
.
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h
e
y
u
s
e
th
e
v
elo
cit
y
o
f
t
h
e
w
i
n
d
in
o
r
d
er
to
d
eter
m
in
e
th
e
r
eq
u
ir
ed
s
h
af
t
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p
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d
to
v
a
r
y
t
h
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s
p
e
e
d
o
f
t
h
e
g
e
n
e
r
a
t
o
r
.
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o
w
e
v
e
r
,
a
n
e
m
o
m
e
t
e
r
b
a
s
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d
c
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t
r
o
l
s
t
r
a
t
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y
d
e
c
r
e
a
s
e
s
t
h
e
s
y
s
t
e
m
r
e
l
i
a
b
i
l
i
t
y
a
n
d
i
n
c
r
e
a
s
e
s
c
o
s
t
.
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h
i
s
c
o
n
t
r
o
l
s
t
r
a
t
e
g
y
m
a
y
n
o
t
s
u
i
t
o
r
m
a
y
b
e
w
i
t
h
h
i
g
h
c
o
s
t
f
o
r
a
s
m
a
l
l
s
c
a
l
e
w
i
n
d
t
u
r
b
i
n
e
s
y
s
t
e
m
.
I
n
t
h
is
p
ap
er
,
a
p
r
o
p
o
s
ed
s
y
s
te
m
w
as
in
tr
o
d
u
ce
d
co
n
tai
n
in
g
a
f
u
ll
y
co
n
tr
o
lled
in
v
er
ter
.
MB
A
o
p
tim
izatio
n
tec
h
n
iq
u
e
[
2
7
]
w
a
s
i
m
p
le
m
e
n
ted
to
g
et
t
h
e
m
ax
i
m
u
m
p
o
w
e
r
u
n
d
er
a
ce
r
tain
g
r
id
v
o
lta
g
e.
A
co
m
p
ar
i
s
o
n
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
r
e
s
u
l
ts
w
it
h
th
e
r
es
u
lts
o
f
th
e
s
a
m
e
s
y
s
te
m
u
s
i
n
g
HSO
tech
n
iq
u
e
[
2
8
]
w
a
s
ca
r
r
ied
o
u
t
to
id
en
tify
t
h
e
b
est
tech
n
iq
u
e.
T
h
e
co
m
p
ar
ativ
e
an
al
y
s
is
o
f
t
h
e
r
esu
lt
s
s
h
o
w
ed
th
at
t
h
e
MB
A
w
a
s
th
e
b
etter
o
n
e.
Sectio
n
2
in
tr
o
d
u
ce
s
t
h
e
m
ater
ia
ls
an
d
m
et
h
o
d
s
i
n
c
lu
d
in
g
th
e
m
at
h
e
m
atica
l
m
o
d
el
an
d
th
e
o
p
ti
m
izatio
n
alg
o
r
it
h
m
s
.
T
h
e
r
esu
lts
an
d
th
e
d
is
cu
s
s
io
n
ar
e
p
r
esen
ted
in
s
ec
tio
n
3
.
Sectio
n
4
w
ill
in
tr
o
d
u
ce
th
e
co
n
clu
s
io
n
s
o
f
t
h
e
w
o
r
k
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
s
y
s
te
m
w
o
u
ld
b
e
b
u
ilt
o
n
P
SIM
s
o
f
t
w
ar
e
to
s
i
m
u
late
th
e
r
esp
o
n
s
e
o
f
W
E
C
S.
T
h
e
co
n
t
r
o
ller
an
d
th
e
o
p
ti
m
izatio
n
alg
o
r
it
h
m
wo
u
ld
b
e
s
im
u
lated
w
it
h
Ma
tl
ab
/Si
m
u
li
n
k
[
2
9
]
.
T
h
e
m
o
d
el
co
n
tain
e
s
a
d
ir
ec
t
-
d
r
iv
en
w
i
n
d
tu
r
b
in
e
w
i
th
o
u
t
g
ea
r
b
o
x
,
a
P
MSG,
an
u
n
co
n
tr
o
lled
r
ec
tif
ier
,
a
DC
li
n
k
,
a
f
u
ll
y
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n
tr
o
lled
in
v
er
ter
,
an
d
a
tr
an
s
m
is
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io
n
li
n
e
to
th
e
g
r
id
as
s
h
o
w
n
in
Fig
u
r
e
1
.
Fig
u
r
e
1
.
S
y
s
te
m
b
lo
ck
d
iag
r
a
m
T
w
o
p
o
w
er
co
n
v
er
ter
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u
s
ed
i
n
th
e
s
y
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ar
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n
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n
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o
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ase
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ier
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s
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ac
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id
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o
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e
co
n
v
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io
n
o
f
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h
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P
MSG
o
u
tp
u
t to
DC
p
o
w
er
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a
f
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ll
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n
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o
lled
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r
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p
h
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s
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ter
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s
ed
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o
r
th
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DC
to
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C
p
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h
at
co
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ld
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s
m
itte
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th
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g
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A
P
I
co
n
tr
o
lle
r
w
o
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ld
b
e
u
s
ed
to
g
en
er
ate
t
h
e
in
v
er
ter
s
w
itc
h
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f
ir
in
g
a
n
g
le
s
u
s
in
g
p
u
l
s
e
w
id
t
h
m
o
d
u
lat
io
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(
P
W
M
)
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h
e
co
n
tr
o
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g
ain
s
co
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ld
b
e
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eter
m
i
n
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s
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n
g
a
m
eta
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h
eu
r
i
s
tic
o
p
ti
m
iza
tio
n
tec
h
n
iq
u
e
to
g
et
th
e
o
p
ti
m
u
m
w
a
v
e
f
o
r
m
d
eliv
er
ed
to
th
e
g
r
id
as
s
h
o
w
n
i
n
Fi
g
u
r
e
2
.
Fu
r
th
u
r
e
m
o
r
e,
o
n
l
y
a
p
r
o
p
er
esti
m
a
te
o
f
t
h
e
f
i
lter
r
esis
ta
n
ce
an
d
in
d
u
cta
n
ce
w
o
u
ld
b
e
r
eq
u
ir
ed
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o
r
th
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d
esig
n
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h
e
co
n
tr
o
ller
p
er
f
o
r
m
a
n
ce
w
o
u
ld
b
e
ev
alu
a
ted
b
y
th
e
s
i
m
u
lat
io
n
r
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u
lts
a
n
al
y
s
i
s
f
o
r
v
ar
io
u
s
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u
an
tit
ies
w
it
h
t
w
o
d
if
f
er
en
t
o
p
tim
izatio
n
tec
h
n
iq
u
es
–
MB
A
a
n
d
HSO
.
T
h
e
q
u
an
titi
es
u
n
d
er
co
n
s
id
er
atio
n
ar
e
th
e
p
o
w
er
a
n
d
th
e
av
er
a
g
e
p
o
w
er
d
eliv
er
ed
to
t
h
e
g
r
id
(
P
o
,
A
v
g
.
P
o
)
,
th
e
w
i
n
d
tu
r
b
in
e
s
p
ee
d
an
d
th
e
m
ec
h
a
n
ical
to
r
q
u
e
(
N
m
,T
em
)
,
th
e
t
h
r
ee
-
p
h
ase
g
en
er
ato
r
t
er
m
in
a
l
cu
r
r
en
t
,
t
h
e
th
r
ee
-
p
h
a
s
e
g
r
id
s
id
e
cu
r
r
en
t,
an
d
th
e
dc
-
li
n
k
v
o
ltag
e
.
T
h
ese
t
w
o
o
p
ti
m
izatio
n
tec
h
n
iq
u
e
s
r
es
u
lts
w
o
u
ld
b
e
co
m
p
ar
ed
to
id
e
n
ti
f
y
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I
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u
r
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u
r
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2
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te
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Fig
u
r
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3
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Sp
ee
d
-
p
o
w
er
c
u
r
v
e
2
.
1
.
M
a
t
h
e
m
a
t
ica
l
m
o
del
W
in
d
tu
r
b
in
e
p
o
w
er
i
s
co
m
p
u
t
ed
as [
1
4
]
:
=
1
4
3
(
1
)
w
h
er
e
is
t
h
e
p
o
w
er
o
f
t
h
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t
u
r
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in
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th
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h
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h
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MSG
co
u
ld
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e
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tr
o
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u
ce
d
as:
=
+
−
(
2
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=
+
−
(
3
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w
h
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e
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h
e
d
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m
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.
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
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m
p
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
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3
4
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-
6
3
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0
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2
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2
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Ob
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w
as
th
e
m
ain
p
u
r
p
o
s
e
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f
co
n
s
tr
u
cti
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g
th
e
MB
A
,
w
h
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th
r
o
w
n
s
h
r
ap
n
el
p
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w
o
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ld
co
llid
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w
it
h
p
o
s
s
i
b
le
m
i
n
e
b
o
m
b
s
i
n
an
ex
p
l
o
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u
s
i
n
g
f
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ex
p
lo
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.
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h
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o
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t
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ex
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b
o
m
b
i
s
th
e
o
b
j
ec
tiv
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[
2
7
]
.
Min
e
b
o
m
b
s
p
lan
ted
u
n
d
er
th
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g
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izes
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.
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o
m
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y
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it
i
s
ex
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lo
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s
h
o
w
n
i
n
Fi
g
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e
4
.
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ac
h
p
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f
s
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ap
n
el
w
o
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ca
u
s
e
v
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s
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f
t
h
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n
u
m
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v
ic
ti
m
s
p
er
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h
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ig
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.
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o
th
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s
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ized
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Fig
u
r
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4
.
Min
e
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last
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ith
m
T
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MB
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ar
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g
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t
h
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0
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+
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(
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T
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In
(8
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t
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w
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m
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ial
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)
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ct
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t
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lar
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ce
s
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t
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m
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w
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th
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n
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n
u
m
b
er
in
d
ex
(
k
)
to
b
eg
in
t
h
e
ex
p
lo
r
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p
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o
ce
s
s
if
it
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s
lar
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a
n
k
.
E
x
p
lo
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n
o
f
th
e
s
o
lu
tio
n
s
p
ac
e
co
u
ld
b
e
in
d
icate
d
as:
+
1
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(
|
|
)
2
,
=
0
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1
,
2
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…
.
(
1
2
)
(
+
1
)
=
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(
)
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=
0
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1
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2
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.
(
1
3
)
I
n
(1
3
)
m
o
d
if
ies
ea
c
h
s
h
r
a
p
n
el
p
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s
’
d
is
ta
n
ce
.
(
|
|
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2
P
r
o
v
id
es
b
etter
ex
p
lo
r
atio
n
o
f
th
e
ab
ilit
y
to
s
ea
r
c
h
.
He
n
ce
,
th
e
y
s
h
i
f
t
clo
s
er
to
a
n
o
p
ti
m
u
m
p
o
i
n
t
q
u
ic
k
l
y
d
u
r
i
n
g
a
s
m
a
ll
n
u
m
b
er
o
f
iter
atio
n
s
.
T
h
e
lar
g
er
th
e
(
)
v
alu
e,
th
e
m
o
r
e
r
e
m
o
te
r
eg
io
n
s
to
ex
p
lo
r
e
as
th
e
(
)
v
alu
e
i
s
u
s
ed
to
ass
i
g
n
th
e
e
x
p
lo
r
atio
n
i
n
ten
s
it
y
.
T
h
e
ab
ilit
y
o
f
t
h
e
s
ea
r
ch
w
o
u
l
d
b
e
in
cr
ea
s
ed
g
lo
b
all
y
u
s
i
n
g
t
h
is
m
e
th
o
d
o
lo
g
y
;
g
r
ad
u
al
r
ed
u
c
tio
n
in
th
e
d
is
t
an
ce
o
f
s
h
r
ap
n
el
p
iece
s
w
o
u
ld
allo
w
b
etter
p
r
o
b
ab
le
s
ea
r
ch
f
o
r
th
e
b
o
m
b
’
s
lo
ca
tio
n
.
T
h
e
d
ec
r
ea
s
e
in
0
is
g
i
v
en
a
s
:
=
−
1
(
)
=
1
,
2
,
3
,
(
1
4
)
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
.
6
,
Dec
em
b
er
2
0
2
0
:
6
3
4
9
-
6
3
6
0
6354
w
h
er
e
k
an
d
ar
e
th
e
iter
atio
n
n
u
m
b
er
in
d
ex
a
n
d
d
ec
r
ea
s
e
co
n
s
ta
n
t,
r
esp
ec
tiv
e
l
y
.
T
h
e
co
n
s
t
s
n
t
(
)
,
w
h
ic
h
i
s
a
u
s
er
p
ar
am
eter
,
d
ep
en
d
s
o
n
th
e
p
r
o
b
lem
d
if
f
ic
u
lt
y
.
T
h
e
ef
f
ec
t
o
f
(
)
is
t
o
d
ec
r
ea
s
e
th
e
d
is
tan
ce
o
f
ea
ch
s
h
r
ap
n
el
p
iec
e
s
ag
a
in
s
t
as
in
t
r
o
d
u
ce
d
in
(1
4
)
.
T
h
er
ef
o
r
e,
th
e
p
r
o
b
le
m
in
ter
v
al
i
s
to
tall
y
s
ea
r
ch
ed
b
et
w
ee
n
lo
w
er
an
d
u
p
p
er
b
o
u
n
d
ar
ies.
T
o
f
in
d
th
e
o
p
ti
m
u
m
s
o
l
u
tio
n
g
lo
b
all
y
,
th
e
s
h
r
ap
n
el
d
is
ta
n
ce
v
alu
e
w
o
u
ld
b
e
r
o
u
g
h
l
y
s
et
to
ze
r
o
in
th
e
f
i
n
al
iter
atio
n
.
T
w
o
p
r
o
ce
s
s
es
co
u
ld
b
e
i
m
p
le
m
e
n
ted
f
o
r
s
ea
r
ch
in
g
t
h
e
s
o
lu
tio
n
d
o
m
ai
n
:
t
h
e
ex
p
lo
r
atio
n
p
r
o
ce
d
u
r
e
an
d
ex
p
lo
itatio
n
p
r
o
ce
d
u
r
e.
W
h
o
le
s
ea
r
ch
to
w
ar
d
s
th
e
o
p
tim
a
l
s
o
lu
tio
n
i
s
g
o
t
b
y
th
e
d
i
f
f
er
en
ce
b
et
w
ee
n
th
ese
t
w
o
p
r
o
ce
s
s
es,
w
h
ic
h
i
n
w
h
a
t
w
a
y
t
h
e
y
af
f
ec
t
s
p
ec
i
f
i
ca
ll
y
.
(
)
is
u
s
ed
as
an
ex
p
lo
r
atio
n
f
ac
to
r
to
s
ig
n
i
f
y
t
h
e
v
a
lu
e
o
f
th
e
f
ir
s
t
iter
at
io
n
s
.
L
a
ter
,
if
(
)
is
s
et
to
a
ce
r
tain
n
u
m
b
er
o
f
ite
r
atio
n
s
,
th
e
n
f
o
r
th
i
s
iter
atio
n
s
n
u
m
b
er
th
e
al
g
o
r
ith
m
w
o
u
ld
ca
lcu
late
th
e
d
is
ta
n
ce
an
d
th
e
ex
p
lo
s
io
n
lo
ca
tio
n
as
il
lu
s
tr
ated
in
(1
3
)
an
d
(1
4
)
,
r
esp
ec
tiv
el
y
.
Fo
r
t
h
e
ex
p
lo
itatio
n
p
r
o
ce
s
s
,
t
h
e
al
g
o
r
ith
m
i
s
i
n
ter
ested
o
n
th
e
o
p
ti
m
u
m
p
o
i
n
t.
E
x
ac
tl
y
,
co
n
s
id
er
i
n
g
t
h
e
p
r
o
ce
s
s
o
f
ex
p
lo
itatio
n
,
it
w
o
u
ld
d
eter
m
i
n
e
th
e
e
x
p
lo
d
ed
m
in
e
b
o
m
b
lo
ca
tio
n
,
s
h
r
ap
n
e
l
p
iece
s
’
d
ir
ec
tio
n
an
d
d
is
tan
ce
,
r
esp
ec
tiv
el
y
.
T
h
e
alg
o
r
ith
m
w
o
u
ld
co
n
v
er
g
e
to
th
e
g
lo
b
al
o
p
ti
m
u
m
s
o
lu
tio
n
a
s
ill
u
s
tr
ated
in
(
9
)
,
(
1
0
)
,
an
d
(
1
1
)
,
th
en
i
n
(1
4
)
r
ed
u
ce
s
ad
ap
tiv
el
y
.
I
t
co
n
v
er
g
e
s
to
th
e
o
b
j
ec
tiv
e
f
u
n
ctio
n
o
p
ti
m
al
s
o
l
u
tio
n
o
f
s
h
r
ap
n
el
p
iece
s
’
d
is
ta
n
ce
.
T
h
e
f
lo
w
ch
ar
t
in
Fi
g
u
r
e
5
w
il
l
illu
s
tr
ate
th
e
s
tep
s
o
f
al
g
o
r
ith
m
.
2
.
3
.
H
SO
t
ec
hn
iqu
e
A
m
eta
-
h
e
u
r
is
t
ic
alg
o
r
it
h
m
ca
lled
HSO,
it
w
a
s
s
ti
m
u
lated
b
y
t
h
e
b
asic
p
r
in
cip
le
s
o
f
th
e
m
u
s
icia
n
s
’
in
v
e
n
tio
n
o
f
s
ea
r
c
h
in
g
f
o
r
th
e
h
ar
m
o
n
y
w
it
h
a
p
er
f
ec
t
s
tate
o
f
h
ar
m
o
n
y
m
u
s
ical
p
r
o
ce
s
s
in
o
r
d
er
to
o
b
tain
th
e
b
est s
o
l
u
tio
n
i
n
a
n
o
p
ti
m
iz
atio
n
p
r
o
ce
s
s
w
ith
t
h
e
h
ar
m
o
n
y
in
m
u
s
ic
a
n
alo
g
o
u
s
l
y
[
2
8
]
.
T
o
g
et
th
e
b
est t
u
n
e
,
a
m
u
s
icia
n
p
la
y
s
d
if
f
er
en
t
s
eg
m
en
ts
o
f
n
o
tes
o
f
ch
a
n
g
ed
m
u
s
ical
in
s
tr
u
m
e
n
t
a
n
d
f
i
n
d
th
e
b
est
co
m
b
in
a
tio
n
o
f
f
r
eq
u
en
c
y
i
n
m
u
s
ic
i
n
v
e
n
tio
n
p
r
o
g
r
ess
io
n
.
I
n
t
h
e
s
a
m
e
w
a
y
,
in
th
e
HS
O
al
g
o
r
ith
m
,
to
m
i
n
i
m
ize
o
r
m
a
x
i
m
iz
e
th
e
o
b
j
ec
tiv
e
f
u
n
ct
io
n
,
s
elec
te
th
e
b
est
co
m
b
i
n
atio
n
o
f
e
x
is
ti
n
g
s
o
lu
t
io
n
s
.
De
f
i
n
itel
y
,
HS
O
w
a
s
s
ti
m
u
lated
b
y
m
an
a
g
i
n
g
m
u
s
icia
n
’
s
eq
u
ip
m
en
t
,
w
h
o
r
ap
id
l
y
i
m
p
r
o
v
e
t
h
e
ir
in
d
i
v
id
u
al,
r
e
s
u
l
tin
g
in
a
b
ea
u
ti
f
u
l
h
ar
m
o
n
y
.
HSO
h
a
s
m
ai
n
l
y
f
iv
e
s
tep
s
:
I
n
itialize
t
h
e
alg
o
r
it
h
m
p
ar
a
m
eter
s
I
n
s
tep
s
1
,
s
p
ec
if
y
th
e
p
r
o
b
le
m
as f
o
llo
w
s
:
Min
i
m
ize
f
(
x
)
as
an
ob
je
c
ti
ve
fun
c
tion
Su
b
j
ec
t to
x
j
∈
X
j
,
j
=
1
,
2
,
3
,
……n
w
h
er
e
,
x
j
is
th
e
s
e
t
o
f
ea
ch
d
ec
i
s
io
n
v
ar
iab
le;
x
j
:
n
is
th
e
n
u
m
b
er
o
f
d
ec
is
io
n
v
ar
iab
les,
x
i
L
≤
X
j
≤
x
i
U
is
th
e
s
et
o
f
th
e
lo
w
er
a
n
d
u
p
p
er
b
o
u
n
d
s
o
f
ea
ch
d
ec
i
s
io
n
v
ar
iab
le
.
Her
e,
th
e
p
ar
em
eter
s
ar
e
s
p
ec
if
ied
an
d
th
e
h
ar
m
o
n
y
m
e
m
o
r
y
(
HM
)
i
s
th
e
m
e
m
o
r
y
lo
ca
tio
n
w
h
er
e
t
h
e
s
o
lu
tio
n
v
ec
to
r
s
ar
e
s
to
r
ed
.
Nu
m
b
er
o
f
s
o
lu
tio
n
v
ec
to
r
s
i
n
th
e
h
ar
m
o
n
y
m
e
m
o
r
y
(
HM
)
Har
m
o
n
y
m
e
m
o
r
y
co
n
s
id
er
in
g
r
ate
(
HM
C
R
)
P
itch
ad
j
u
s
tin
g
r
ate
(
P
A
R
)
Nu
m
b
er
o
f
i
n
v
en
t
io
n
s
(
NI
)
,
o
r
s
to
p
p
in
g
cr
iter
io
n
;
Her
e
,
ad
j
u
s
ts
t
h
e
HM
m
atr
ix
t
o
co
m
p
lete
w
it
h
a
lo
t o
f
s
o
l
u
ti
o
n
v
ec
to
r
s
–
cr
ea
ted
r
an
d
o
m
l
y
–
as th
e
HM
S.
=
[
1
1
2
1
…
.
1
1
2
2
2
…
.
2
:
:
…
.
:
1
2
…
.
]
(
1
5
)
I
m
p
r
o
v
e
a
n
e
w
h
ar
m
o
n
y
No
v
el
v
ec
to
r
is
cr
ea
ted
d
e
p
en
d
in
g
o
n
p
itc
h
ad
j
u
s
t
m
e
n
t,
m
e
m
o
r
y
co
n
s
id
er
atio
n
,
a
n
d
r
an
d
o
m
s
elec
tio
n
,
a
n
e
w
h
ar
m
o
n
y
is
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alled
i
m
p
r
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v
is
atio
n
w
o
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ld
b
e
g
en
er
ated
.
T
h
e
f
ir
s
t
d
ec
is
io
n
1
1
co
u
ld
b
e
ch
o
s
en
f
r
o
m
t
h
e
r
a
n
g
e
1
1
−
1
,
an
d
t
h
e
s
a
m
e
m
a
n
n
er
f
o
r
t
h
e
r
est
o
f
d
ec
i
s
i
o
n
s
c
h
o
ice.
HM
C
R
[
0
,
1
]
,
is
t
h
e
r
at
e
o
f
s
elec
tin
g
o
n
e
v
al
u
e
f
r
o
m
th
e
s
to
r
ed
h
is
to
r
ic
v
alu
es
in
th
e
HM
.
(
1
−
MC
R
)
is
th
e
r
ate
o
f
r
an
d
o
m
l
y
c
h
o
o
s
i
n
g
o
n
e
v
al
u
e
f
r
o
m
t
h
e
p
o
s
s
ib
le
r
a
n
g
e
o
f
v
al
u
es.
′
←
{
′
∈
{
1
,
2
,
…
.
.
.
,
1
ℎ
′
∈
ℎ
(
1
−
)
(
1
6
)
T
h
is
p
r
o
ce
s
s
u
s
es t
h
e
P
AR
∈
[
0
,
1
]
p
a
r
a
m
eter
,
w
h
ic
h
is
t
h
e
r
ate
o
f
p
i
tch
ad
j
u
s
t
m
en
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:
2
0
8
8
-
8708
I
mp
r
o
vin
g
th
e
d
elive
r
ed
p
o
w
e
r
q
u
a
lity fro
m
W
E
C
S
to
th
e
g
r
id
…
(
S
h
ima
a
A
.
Hu
s
s
ien
)
6355
′
←
{
ℎ
ℎ
ℎ
ℎ
(
1
−
)
(
1
7
)
T
h
e
v
alu
e
o
f
(
1
−
)
s
ets
t
h
e
r
ate
o
f
d
o
in
g
n
o
t
h
i
n
g
.
I
f
t
h
e
p
itch
ad
j
u
s
t
m
e
n
t
d
ec
is
io
n
f
o
r
′
is
YE
S,
′
is
r
ep
lace
d
as:
′
←
′
±
×
(
1
8
)
w
h
er
e,
is
a
r
an
d
o
m
d
is
ta
n
ce
b
an
d
w
id
th
.
is
a
r
an
d
o
m
n
u
m
b
e
r
b
et
w
ee
n
0
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d
1
.
Up
d
ate
m
e
m
o
r
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o
f
h
ar
m
o
n
y
T
h
e
o
b
j
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tiv
e
f
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n
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n
(
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v
al
u
e
i
s
ca
lcu
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ated
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u
r
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w
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ates
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Fig
u
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9
.
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h
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p
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r
id
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o
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Fig
u
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10
.
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h
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