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g
et
g
lo
b
al
o
p
tim
a
l
s
o
l
u
tio
n
s
[
9
]
,
[
10
]
.
B
a
s
ed
o
n
th
e
liter
atu
r
e
r
e
v
ie
w
,
t
h
er
e
ar
e
s
till
o
n
l
y
a
f
e
w
r
esear
ch
w
h
ich
r
ela
ted
to
th
e
o
p
ti
m
izatio
n
o
f
li
n
ea
r
g
en
er
ato
r
d
esig
n
,
alth
o
u
g
h
th
e
o
p
ti
m
izat
io
n
p
r
o
ce
d
u
r
e
h
as
b
ee
n
s
u
cc
es
f
u
ll
y
u
s
ed
to
o
p
tim
ize
s
e
v
er
al
elec
tr
ic
m
ac
h
i
n
e,
s
u
ch
a
s
tr
an
s
f
o
r
m
er
,
d
ir
ec
t
-
c
u
r
r
en
t
m
ac
h
i
n
e,
s
y
n
ch
r
o
n
o
u
s
m
ac
h
i
n
e,
an
d
th
e
o
th
er
s
elec
tr
ic
m
ac
h
i
n
e
[
1
1
-
1
4
]
.
R
esu
l
t
w
a
s
s
h
o
w
n
t
h
at
o
p
ti
m
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io
n
p
r
o
ce
d
u
r
e
co
u
ld
d
e
liv
er
b
etter
elec
tr
ic
m
ac
h
in
e
d
esi
g
n
r
ath
er
t
h
an
w
i
th
o
u
t
o
p
ti
m
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n
p
r
o
ce
d
u
r
e.
T
h
is
r
esear
ch
p
r
o
p
o
s
es
d
ir
ec
t
-
d
r
iv
e
W
E
C
ap
p
lied
w
it
h
tr
i
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co
r
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p
er
m
a
n
en
t
-
m
a
g
n
e
t
-
l
in
ea
r
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g
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n
er
ato
r
(
P
ML
G
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f
o
r
co
n
v
er
ti
n
g
o
ce
a
n
w
a
v
es
m
o
tio
n
to
elec
tr
icit
y
.
T
o
g
et
a
g
o
o
d
d
esig
n
o
f
P
ML
G,
th
e
o
p
ti
m
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io
n
w
a
s
p
er
f
o
r
m
ed
in
t
h
i
s
li
n
ea
r
g
en
er
ato
r
.
T
h
r
ee
o
b
j
ec
tiv
es
f
u
n
ct
io
n
w
a
s
u
s
ed
in
t
h
is
o
p
ti
m
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n
,
th
er
e
ar
e:
elec
tr
ic
p
o
w
er
l
o
s
s
e
s
in
t
h
e
w
i
n
d
in
g
,
tr
an
s
la
to
r
w
ei
g
h
t,
a
n
d
m
a
ter
ial
co
s
t
o
f
th
e
P
ML
G.
T
h
at
th
r
ee
o
b
j
ec
tiv
es
f
u
n
ctio
n
th
e
n
m
i
n
i
m
ized
u
s
in
g
s
i
m
u
lated
an
n
ea
li
n
g
(
S
A
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al
g
o
r
ith
m
to
g
et
t
h
e
b
est
d
esi
g
n
.
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h
en
,
th
e
o
v
er
all
d
esig
n
o
f
th
e
P
ML
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w
as
v
er
i
v
ied
u
s
i
n
g
f
i
n
ite
ele
m
en
t
a
n
al
y
s
i
s
(
FEA
)
to
g
et
s
o
m
e
p
ar
am
eter
s
o
f
th
e
li
n
ea
r
g
en
er
ato
r
w
h
ic
h
co
u
ld
n
o
t
be
ca
lcu
lated
an
al
y
tical
l
y
a
n
d
to
co
n
f
ir
m
ed
th
e
m
a
g
n
etic
p
ar
am
eter
o
f
th
e
P
ML
G.
Fin
all
y
,
t
h
e
o
p
ti
m
ized
d
esi
g
n
o
f
tr
i
-
co
r
e
P
ML
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w
a
s
s
i
m
u
lat
ed
u
s
i
n
g
s
i
n
u
s
o
id
al
o
ce
an
w
av
es
ch
ar
ac
ter
is
t
ic
to
an
al
y
ze
a
n
d
in
v
e
s
ti
g
ate
th
e
p
er
f
o
r
m
an
ce
o
f
t
h
e
lin
ea
r
g
en
er
ato
r
if
th
e
P
ML
G
i
n
s
talled
in
s
o
u
th
co
ast
of
Yo
g
y
a
k
ar
ta.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
.
No
m
enc
la
t
ure
R
w
i
n
ter
n
a
l
r
esis
tan
ce
o
f
A
W
G
1
1
(
o
h
m
/
m
)
,
P
dt
e
x
p
ec
ted
p
o
w
er
o
f
P
ML
G
(
w
att)
,
m
n
u
m
b
er
o
f
p
h
ase,
μ
m
ag
n
etic
p
er
m
ea
b
il
it
y
,
M
s
n
u
m
b
er
o
f
a
r
m
atu
r
e,
A
c
a
r
e
a
o
f
th
e
co
il
(
m
2
)
,
K
cu
w
in
d
in
g
f
illi
n
g
f
ac
to
r
,
D
w
w
ir
e
d
ia
m
e
ter
(
m
)
,
C
m
air
g
a
p
f
lu
x
d
en
s
ity
co
ef
f
ic
ien
t
,
K
c
C
ar
t
er
’
s
c
o
ef
f
ic
ien
t
,
B
g
ai
r
g
a
p
f
lu
x
d
en
s
ity
(
T
)
,
B
r
p
e
r
m
en
en
t m
ag
n
et
r
es
id
u
al
f
lu
x
(
T
)
,
H
c
m
ag
n
etic
f
l
u
x
co
er
civ
e.
2
.
2
.
Site
Select
io
n
f
o
r
I
ns
t
a
lli
ng
Dire
ct
-
Driv
e
WE
C
As
m
e
n
tio
n
ed
ab
o
v
e,
th
e
s
o
u
t
h
co
ast
o
f
J
av
a
I
s
la
n
d
,
esp
ec
iall
y
i
n
th
e
s
o
u
t
h
co
ast
o
f
Yo
g
y
ak
ar
ta
h
a
s
lar
g
e
p
o
ten
tial
o
f
o
ce
an
w
a
v
es
en
er
g
y
.
A
cc
o
r
d
in
g
to
th
e
m
o
n
t
h
l
y
d
ata
w
h
ich
h
as
b
ee
n
co
llected
b
y
I
n
d
o
n
esia
n
Ag
en
c
y
f
o
r
Me
teo
r
o
lo
g
y
C
li
m
ato
lo
g
y
a
n
d
Geo
p
h
y
s
ics
f
r
o
m
2
0
0
0
u
n
til
2
0
1
0
,
in
t
h
is
lo
ca
tio
n
,
t
h
e
s
ig
n
i
f
ica
n
t
w
a
v
e
h
e
ig
h
t
h
as
a
v
er
ag
e
v
al
u
e
o
f
1
.
4
4
m
eter
s
.
Fro
m
th
a
t
d
ata,
th
e
W
E
C
s
y
s
t
e
m
w
as
d
esig
n
ed
to
w
o
r
k
i
n
r
ated
co
n
d
itio
n
w
it
h
1
m
eter
s
w
a
v
e
h
ei
g
h
t,
s
o
th
at
t
h
e
W
E
C
co
u
ld
w
o
r
k
w
ell
t
h
r
o
u
g
h
o
u
t th
e
y
ea
r
.
)
c
o
s
(
2
)
(
t
s
H
t
s
v
(
1
)
Usi
n
g
E
q
u
atio
n
(
1
)
,
w
h
er
e
a
n
g
u
lar
v
elo
cit
y
o
f
t
h
e
o
ce
a
n
wav
e
(
ω
)
w
as
1
.
7
6
r
ad
/s
,
s
ig
n
i
f
ican
t
w
a
v
e
h
eig
h
t
(
H
s
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w
as
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m
,
a
n
d
o
ce
an
w
a
v
e
p
er
io
d
w
a
s
3
.
5
5
s
,
s
o
th
at
t
h
e
a
v
er
ag
e
v
er
tical
v
e
lo
cit
y
o
f
th
e
o
ce
an
w
a
v
es
(
v
s
)
w
a
s
0
.
6
m
/
s
.
I
t
w
a
s
ass
u
m
ed
t
h
at
t
h
e
li
n
ea
r
v
elo
cit
y
o
f
li
n
ea
r
g
e
n
er
ato
r
w
as
t
h
e
s
a
m
e
a
s
v
er
tical
v
elo
cit
y
o
f
th
e
o
ce
a
n
w
av
e
s
s
i
n
ce
th
e
d
ir
ec
t
-
d
r
iv
e
W
E
C
b
ec
a
m
e
w
av
e
f
o
llo
w
er
s
[
15
]
.
2
.
3
.
M
a
t
he
m
a
t
ica
l
M
o
del
o
f
T
ri
-
Co
re
P
M
L
G
P
er
m
a
n
en
t
-
m
a
g
n
et
-
l
in
ea
r
-
g
e
n
er
ato
r
(
P
ML
G)
w
ith
tr
i
-
co
r
e
to
p
o
lo
g
y
is
o
n
e
o
f
th
e
li
n
ea
r
g
e
n
er
ato
r
t
y
p
e
w
h
ich
h
a
s
tr
ian
g
u
lar
s
h
a
p
e
co
r
e
in
b
o
th
o
f
t
h
e
s
tato
r
an
d
tr
an
s
lato
r
as
s
h
o
w
n
i
n
Fi
g
u
r
e
1
(
a)
.
T
h
e
d
esig
n
p
ar
am
eter
s
o
f
tr
i
-
co
r
e
P
ML
G
w
a
s
s
h
o
w
n
in
F
ig
u
r
e
1
(
b
)
.
T
h
e
ai
m
o
f
th
i
s
s
h
ap
e
w
a
s
to
s
i
m
p
lify
m
a
n
u
f
ac
t
u
r
in
g
p
r
o
ce
s
s
b
ec
au
s
e
o
f
th
e
s
i
m
p
le
s
h
ap
e
an
d
co
n
s
tr
u
ctio
n
,
s
o
th
a
t it
w
o
u
ld
m
i
n
i
m
izet
h
e
m
a
n
u
f
ac
tu
r
in
g
co
s
t.
T
h
er
e
ar
e
s
ev
er
al
m
ath
e
m
at
i
ca
l
m
o
d
els
o
f
tr
i
-
co
r
e
P
ML
G
w
h
ich
d
er
iv
ed
f
r
o
m
t
h
e
m
ag
n
etica
l
E
q
u
atio
n
o
f
li
n
ea
r
g
e
n
er
ato
r
[
16
]
.
T
h
is
m
at
h
e
m
atica
l
m
o
d
els
t
h
en
o
p
ti
m
ized
,
s
o
a
g
o
o
d
d
esig
n
o
f
tr
i
-
co
r
e
P
ML
G
w
as o
b
tain
ed
.
T
h
e
m
at
h
e
m
a
tical
m
o
d
els ar
e
as
f
o
llo
w
s
:
1)
E
lectr
ical
cu
r
r
en
t
p
r
o
d
u
ce
d
b
y
P
ML
G
(
i
ph
)
:
f
r
o
m
t
h
e
e
x
p
ec
te
d
p
o
w
er
an
d
e
m
f
p
r
o
d
u
ce
d
b
y
P
ML
G
(
E
ph
)
,
th
e
E
q
u
atio
n
to
d
eter
m
in
e
t
h
e
elec
tr
ical
cu
r
r
en
t i
s
g
i
v
e
n
b
y
ph
mE
dt
P
ph
i
(
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
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8708
I
J
E
C
E
Vo
l.
7
,
No
.
2
,
A
p
r
il 2
0
1
7
:
6
1
0
–
618
612
2)
W
in
d
in
g
r
esis
ta
n
ce
(
R
ph
)
:
p
er
p
h
ases
w
i
n
d
i
n
g
r
esi
s
ta
n
ce
is
i
n
f
lu
e
n
ce
d
b
y
in
ter
n
al
r
esi
s
ta
n
ce
an
d
len
g
th
o
f
w
ir
e
(
L
c
)
,
th
e
E
q
u
a
tio
n
is
a
s
f
o
llo
w
s
b
elo
w
ph
N
c
L
w
R
ph
R
(
3
)
(
a)
(
b
)
Fig
u
r
e
1
.
(
a)
T
r
i
-
co
r
e
P
ML
G
s
tr
u
ctu
r
e
[
8
]
; (
b
)
Desig
n
p
ar
a
m
eter
s
o
f
tr
i
-
co
r
e
P
ML
G
[
4
]
w
h
er
e
N
ph
is
n
u
m
b
er
o
f
t
u
r
n
s
p
er
p
h
ase
w
h
ic
h
is
d
er
iv
ed
f
r
o
m
n
u
m
b
er
o
f
t
u
r
n
s
p
er
s
lo
t
N
c
.
T
h
e
E
q
u
atio
n
i
s
s
h
o
w
n
b
y
(
4
)
an
d
(
5
)
r
esp
ec
tiv
el
y
pq
c
N
ph
N
(
4
)
2
)
2
/
(
w
D
cu
K
A
N
c
c
(
5
)
3)
Geo
m
etr
y
o
f
tr
i
-
co
r
e
P
ML
G:
th
e
g
eo
m
etr
y
o
f
tr
i
-
co
r
e
P
ML
G
w
ill
a
f
f
ec
t
th
e
p
h
a
s
e
r
esis
ta
n
ce
w
h
ic
h
also
r
elate
d
to
th
e
elec
tr
ical
p
o
w
er
lo
s
s
es
in
th
e
w
i
n
d
in
g
,
o
v
er
all
w
ei
g
h
t
,
an
d
m
a
ter
ial
co
s
t
n
ee
d
ed
to
co
n
s
tr
u
ct
t
h
e
li
n
ea
r
g
en
er
ato
r
.
T
h
e
m
at
h
e
m
atica
l
g
eo
m
e
tr
y
m
o
d
el
o
f
tr
i
-
c
o
r
e
P
ML
G
i
s
m
en
tio
n
ed
i
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2
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5
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)
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s
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g
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eq
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h
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
Op
timiz
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e
P
ML
G
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ir
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t
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Dri
ve
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C
S
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De
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ve
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r
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i
s
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o
Da
n
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613
p
m
C
m
(1
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2
.
3
.
O
ptim
iza
t
io
n
P
ro
ce
du
re
us
ing
Si
m
ula
t
ed
An
nea
lin
g
T
h
e
d
esig
n
o
p
ti
m
izatio
n
o
f
tr
i
-
co
r
e
P
ML
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w
as
d
o
n
e
u
s
in
g
m
u
ltio
b
j
ec
tiv
es
f
u
n
c
tio
n
s
u
ch
as:
elec
tr
ic
p
o
w
er
lo
s
s
es i
n
t
h
e
w
in
d
i
n
g
,
tr
an
s
lato
r
w
ei
g
h
t,
an
d
m
ater
ial
co
s
t o
f
th
e
P
ML
G
.
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h
en
,
b
esau
s
e
t
h
e
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s
e
o
f
m
o
r
e
th
an
o
n
e
s
in
g
le
o
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j
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tiv
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f
u
n
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s
o
all
o
f
t
h
e
o
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j
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tiv
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n
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tio
n
m
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s
t
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tr
a
n
s
f
o
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ed
to
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s
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j
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n
g
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ted
s
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m
ap
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h
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h
e
m
e
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y
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g
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ted
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e
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w
3
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.
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n
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it
h
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1
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n
=
1
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ac
h
o
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th
e
o
b
jectiv
e
f
u
n
ct
io
n
w
a
s
m
u
ltip
lie
d
w
it
h
t
h
e
w
eig
h
ted
v
alu
e,
t
h
e
E
q
u
atio
n
f
o
r
tr
an
s
f
o
r
m
i
n
g
th
e
m
u
ltio
b
j
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tiv
es
f
u
n
ctio
n
to
a
s
in
g
le
o
b
j
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es
f
u
n
ct
io
n
w
as
s
h
o
w
n
b
elo
w
n
i
i
F
i
w
t
F
1
(
1
2
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w
h
er
e,
w
i
is
th
e
w
ei
g
h
t
ed
v
al
u
e
o
f
th
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o
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j
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es
f
u
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ctio
n
,
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i
is
ea
ch
o
f
s
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g
le
o
b
j
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es
f
u
n
ct
io
n
an
d
F
t
w
as
th
e
to
tal
s
i
n
g
le
o
b
j
ec
tiv
es f
u
n
c
tio
n
.
E
ac
h
o
f
t
h
e
o
b
j
ec
tiv
es f
u
n
ctio
n
w
a
s
m
e
n
tio
n
ed
b
elo
w
:
1)
E
lectr
ical
p
o
w
er
lo
s
s
es
i
n
t
h
e
w
in
d
i
n
g
(
P
loss
)
:
t
h
e
e
lectr
ical
p
o
w
er
lo
s
s
es
in
t
h
e
w
i
n
d
i
n
g
w
a
s
i
n
f
lu
e
n
ce
d
b
y
w
i
n
d
i
n
g
r
es
is
ta
n
ce
,
th
e
E
q
u
atio
n
o
f
th
e
f
ir
s
t o
b
j
ec
tiv
es
f
u
n
ct
io
n
w
as
g
i
v
en
b
y
ph
R
ph
i
l
o
s
s
P
F
2
1
(
1
3
)
2)
T
r
an
s
lato
r
w
ei
g
h
t
(
m
tr
)
:
tr
a
n
s
l
ato
r
o
f
th
e
tr
i
-
co
r
e
P
ML
G
co
n
s
i
s
ted
o
f
p
er
m
an
e
n
t
m
a
g
n
et
an
d
tr
an
s
lato
r
co
r
e,
to
m
i
n
i
m
ize
t
h
e
tr
an
s
la
t
o
r
w
ei
g
h
t,
th
e
w
ei
g
h
t
o
f
p
er
m
an
e
n
t
m
ag
n
et
a
n
d
tr
an
s
lato
r
co
r
e
m
u
s
t
b
e
m
i
n
i
m
ized
.
T
h
e
E
q
u
atio
n
w
a
s
m
en
tio
n
ed
b
elo
w
r
esp
ec
ti
v
ell
y
tc
m
pm
m
tr
m
F
2
(
1
4
)
w
h
er
e
m
pm
i
s
p
er
m
a
n
en
t
m
a
g
n
et
w
ei
g
h
t
an
d
m
tc
is
t
h
e
tr
a
n
s
lato
r
co
r
e
w
eig
h
t.
E
ac
h
o
f
th
e
co
m
p
o
n
e
n
t
co
u
ld
b
e
ca
lcu
lated
u
s
i
n
g
E
q
u
atio
n
as
m
en
t
io
n
ed
b
elo
w
2
m
p
m
t
s
m
m
s
m
L
W
h
M
pm
m
(
1
5
)
eq
g
m
h
s
W
t
L
r
Y
s
M
tc
tc
m
2
(
1
6
)
w
h
er
e
ρ
m
is
th
e
m
as
s
d
en
s
i
t
y
o
f
p
er
m
a
n
e
n
t
m
a
g
n
et,
ρ
tc
is
t
h
e
m
a
s
s
d
en
s
it
y
o
f
tr
an
s
lato
r
co
r
e,
an
d
L
t
is
tr
an
s
lato
r
len
g
t
h
w
h
ich
w
a
s
d
esig
n
ed
to
b
e
1
m
eter
s
.
3)
Ma
ter
ial
co
s
t
o
f
t
h
e
P
ML
G
(
c
tot
)
:
th
e
m
ater
ial
co
s
t
o
f
tr
i
-
co
r
e
P
ML
G
co
n
s
is
ted
o
f
:
c
o
s
t
f
o
r
b
o
th
o
f
tr
an
s
l
ato
r
an
d
s
ta
to
r
co
r
e,
co
s
t
f
o
r
p
er
m
a
n
e
n
t
m
a
g
n
et,
an
d
co
s
t
f
o
r
co
p
er
w
ir
e.
C
o
s
t
f
u
n
ctio
n
co
u
ld
b
e
ca
lcu
lated
u
s
in
g
w
ei
g
h
t
o
f
ea
ch
p
ar
t
o
f
th
e
g
en
er
ato
r
an
d
th
e
p
r
ice
p
er
k
ilo
g
r
a
m
s
ac
co
r
d
in
g
to
[
17
]
.
T
h
e
E
q
u
atio
n
f
o
r
ca
lc
u
lati
n
g
co
p
er
w
ei
g
h
t a
n
d
s
tato
r
co
r
e
w
ei
g
h
t
w
as
m
e
n
tio
n
ed
b
elo
w
ph
N
c
L
w
i
r
e
r
cu
cu
m
2
)
(
(
1
7
)
pqm
s
h
s
b
s
L
s
Y
s
h
s
W
s
M
sc
sc
m
(
1
8
)
w
h
er
e
ρ
cu
is
t
h
e
m
a
s
s
d
en
s
it
y
o
f
co
p
er
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ir
e,
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sc
is
th
e
m
as
s
d
en
s
it
y
o
f
s
tato
r
co
r
e.
T
h
en
th
e
m
ater
ial
co
s
t o
f
tr
i
-
co
r
e
P
ML
G
co
u
ld
b
e
ca
lcu
lated
u
s
in
g
E
q
u
atio
n
(
1
0
)
.
cu
c
cu
m
fe
c
sc
m
tc
m
pm
c
pm
m
t
o
t
c
F
3
(
1
9
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8708
I
J
E
C
E
Vo
l.
7
,
No
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2
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A
p
r
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1
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6
1
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614
w
h
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m
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d
c
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t
p
e
r
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r
a
m
.
3.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
3
.
1
.
O
ptim
izing
T
ri
-
Co
re
P
M
L
G
Desig
n
I
t
w
a
s
d
ec
id
ed
to
d
esi
g
n
a
p
ico
-
s
ca
le
tr
i
-
co
r
e
P
ML
G
w
it
h
th
r
ee
-
p
h
ase
wy
e
co
n
f
i
g
u
r
ati
o
n
an
d
t
h
e
ex
p
ec
ted
o
u
tp
u
t
p
o
w
er
is
1
k
W
.
Sev
er
al
in
itial
p
ar
a
m
eter
s
w
er
e
u
s
ed
in
t
h
e
d
esi
g
n
p
r
o
ce
s
s
,
s
u
ch
a
s
:
av
er
a
g
e
tr
an
s
lato
r
s
p
ee
d
to
b
e
0
.
6
m
/
s
,
th
e
u
s
e
o
f
A
W
G
1
1
w
ir
e,
a
n
d
Nd
FeB
p
er
m
an
e
n
t
m
a
g
n
et
t
o
co
n
s
tr
u
cted
th
e
lin
ea
r
g
en
er
ato
r
.
A
W
G
1
1
w
i
r
e
w
a
s
c
h
o
o
s
en
b
ec
au
s
e
t
h
e
e
x
p
ec
ted
p
o
w
er
o
f
t
h
e
g
e
n
er
ato
r
w
a
s
i
n
p
ico
-
s
ca
le,
s
o
th
e
cu
r
r
e
n
t
t
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at
f
lo
w
t
h
r
o
u
g
h
th
e
w
in
d
i
n
g
w
as
n
o
t
ex
ce
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th
e
cu
r
r
e
n
t
ca
p
ab
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o
f
A
W
G
1
1
w
h
ic
h
w
a
s
12
A
.
T
h
en
,
Nd
FeB
5
2
MG
Oe
w
a
s
u
s
ed
b
ec
au
s
e
t
h
is
t
y
p
e
o
f
p
er
m
a
n
en
t
m
a
g
n
et
h
a
s
lar
g
e
f
l
u
x
d
e
n
s
it
y
r
at
h
er
th
an
t
h
e
o
th
er
s
t
y
p
e,
s
o
it
w
o
u
ld
g
e
n
er
ate
h
i
g
h
er
elec
tr
o
m
o
tiv
e
f
o
r
ce
(
em
f
)
.
W
ith
t
h
e
s
a
m
e
g
e
n
er
ated
p
o
w
er
,
th
e
h
i
g
h
er
e
m
f
w
o
u
ld
d
ec
r
ea
s
e
th
e
cu
r
r
en
t
g
e
n
er
ated
f
r
o
m
th
e
P
ML
G,
s
o
it
w
o
u
l
d
d
ec
r
ea
s
e
th
e
elec
tr
ical
p
o
w
er
lo
s
s
es i
n
t
h
e
w
in
d
i
n
g
.
T
h
e
Nd
FeB
p
er
m
a
n
e
n
t
m
a
g
n
et
w
a
s
m
o
u
n
ted
in
t
h
e
tr
an
s
lato
r
co
r
e
s
u
r
f
ac
e.
T
ab
le
1
.
Sp
ec
if
icatio
n
o
f
T
r
i
-
C
o
r
e
P
ML
G
V
a
r
i
a
b
l
e
s
S
y
mb
o
l
V
a
l
u
e
s
A
n
a
l
y
t
i
c
a
l
D
e
si
g
n
O
p
t
i
mi
z
e
d
D
e
si
g
n
S
t
a
t
o
r
w
i
d
t
h
(
mm
)
W
s
50
50
N
u
m
b
e
r
o
f
sl
o
t
p
e
r
p
o
l
e
p
e
r
p
h
a
se
q
1
/
3
1
/
3
N
u
m
b
e
r
o
f
p
o
l
e
s
p
12
12
A
v
e
r
a
g
e
f
l
u
x
d
e
n
si
t
y
i
n
a
i
r
g
a
p
(
T
)
Ba
v
0
.
8
1
A
i
r
g
a
p
(
mm
)
g
2
0
.
4
F
l
u
x
d
e
n
si
t
y
i
n
t
h
e
st
a
t
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r
y
o
k
e
(
T
)
By
s
1
.
8
2
.
2
F
l
u
x
d
e
n
si
t
y
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n
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h
e
r
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t
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r
y
o
k
e
(
T
)
By
r
1
.
2
2
S
t
a
t
o
r
l
e
n
g
t
h
(
mm
)
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s
1
4
8
.
6
8
3
1
3
.
4
P
o
l
e
-
p
i
t
c
h
(
mm
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τ
p
1
2
.
4
2
6
.
1
T
o
o
t
h
-
p
i
t
c
h
(
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t
1
2
.
4
2
6
.
1
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t
a
t
o
r
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o
t
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ig
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I
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u
r
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4
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f
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5
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
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8708
Op
timiz
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617
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RE
F
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[1
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7
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p
p
.
4
1
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4
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2
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3
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]
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.
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.
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2
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ter
n
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o
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l
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c
trica
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n
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mp
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ter
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g
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IJ
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)
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v
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l.
1
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o
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2
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p
p
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1
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3
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m
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sig
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s
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T
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p
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4
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sa
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sig
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p
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,
IEE
E
T
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n
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c
ti
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In
d
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st
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El
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c
tro
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l.
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9
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p
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4
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4
0
5
6
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5
]
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A
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,
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6
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Ra
jk
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in
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Co
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,
2
0
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.
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I
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Vo
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618
[1
7
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Oz
a
n
Ke
y
sa
n
a
n
d
e
t
a
l,
"
A
d
ire
c
t
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e
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2
0
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1
IE
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tern
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ti
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tri
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DC)
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p
p
.
2
2
4
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M
a
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2
0
1
1
.
[1
8
]
Ko
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p
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ll
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iv
a
R.
R
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n
d
A
z
ru
l
Hish
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m
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O,
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sig
n
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ti
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f
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n
e
ti
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g
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rit
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m
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imu
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,
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tern
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telli
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p
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2
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7
.
B
I
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RAP
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S
O
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AUTH
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RS
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n
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o
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e
c
h
n
o
lo
g
y
in
2
0
0
9
.
He
is
c
u
rre
n
tl
y
A
ss
o
c
iate
P
ro
f
e
ss
o
r
a
t
th
e
De
p
a
rtm
e
n
t
o
f
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
a
n
d
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
,
G
a
d
jah
M
a
d
a
Un
iv
e
rsity
.
His
re
se
a
rc
h
is
sp
e
c
ialize
d
in
p
o
w
e
r
s
y
st
e
m
e
n
g
in
e
e
rin
g
,
e
n
e
rg
y
c
o
n
v
e
rsio
n
,
a
lso
tran
sm
issio
n
a
n
d
d
istri
b
u
t
io
n
sy
ste
m
.
H
e
is
a
lso
e
x
p
e
rt
in
p
o
w
e
r
s
y
s
te
m
c
o
n
tro
l
tec
h
n
iq
u
e
u
sin
g
M
a
g
n
e
ti
c
En
e
rg
y
R
e
c
o
v
e
r
y
S
w
it
c
h
(M
ERS
).
S
a
r
jiy
a
re
c
e
i
v
e
d
th
e
b
a
c
h
e
lo
r
a
n
d
m
a
st
e
r
d
e
g
re
e
s
f
ro
m
G
a
d
jah
M
a
d
a
Un
iv
e
rsit
y
,
Yo
g
y
a
k
a
rta,
In
d
o
n
e
sia
,
i
n
1
9
9
8
a
n
d
2
0
0
1
,
r
e
sp
e
c
ti
v
e
l
y
,
a
n
d
th
e
P
h
.
D
.
d
e
g
re
e
f
ro
m
th
e
Ch
u
lalo
n
g
k
o
rn
Un
iv
e
rsit
y
,
T
h
a
il
a
n
d
,
in
2
0
0
8
,
a
ll
in
e
lec
tri
c
a
l
e
n
g
in
e
e
rin
g
.
P
re
se
n
t
ly
,
h
e
jo
in
t
w
it
h
th
e
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
a
n
d
In
f
o
rm
a
ti
o
n
Tec
h
n
o
lo
g
y
D
e
p
a
rt
m
e
n
t
a
t
Ga
d
jah
M
a
d
a
Un
iv
e
rsit
y
.
His
re
s
e
a
rc
h
in
tere
sts
in
c
lu
d
e
re
li
a
b
il
it
y
e
v
a
lu
a
ti
o
n
o
f
e
lec
tri
c
p
o
w
e
r
s
y
st
e
m
s,
e
c
o
n
o
m
ic
a
n
d
se
c
u
re
o
p
e
ra
ti
o
n
o
f
e
le
c
tri
c
p
o
we
r
s
y
ste
m
s,
p
o
w
e
r
s
y
ste
m
s
a
n
d
e
n
e
rg
y
p
lan
n
in
g
,
a
n
d
re
n
e
w
a
b
le
e
n
e
r
g
y
in
teg
ra
ti
o
n
.
M
u
h
a
m
m
a
d
Rifa
’i
P
u
tr
a
S
u
g
ita
w
a
s
b
o
rn
in
Ba
n
t
u
l,
s
p
e
c
ial
d
ist
rict
o
f
Yo
g
y
a
k
a
rta
in
1
9
9
3
.
He
re
c
e
iv
e
d
B
a
c
h
e
lo
r
En
g
in
e
e
ri
n
g
d
e
g
re
e
in
De
p
a
rt
m
e
n
t
o
f
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
a
n
d
In
f
o
r
m
a
ti
o
n
T
e
c
h
n
o
lo
g
y
,
F
a
c
u
lt
y
o
f
En
g
in
e
e
rin
g
,
Un
iv
e
rsitas
G
a
d
jah
M
a
d
a
in
2
0
1
6
.
He
is
c
u
rre
n
tl
y
a
n
M
.
En
g
.
stu
d
e
n
ts
i
n
th
e
sa
m
e
d
e
p
a
rtme
n
t.
His
re
se
a
rc
h
in
tere
st
in
c
lu
d
e
re
n
e
w
a
b
le
e
n
e
rg
y
f
ro
m
o
c
e
a
n
w
a
v
e
s,
h
y
b
rid
e
n
e
rg
y
,
o
p
ti
m
iza
ti
o
n
tec
h
n
i
q
u
e
,
d
isso
lv
e
d
g
a
s
a
n
a
l
y
sis
in
p
o
w
e
r
tran
sf
o
r
m
e
r,
d
istri
b
u
ted
g
e
n
e
ra
ti
o
n
,
a
n
d
sm
a
rt
g
rid
a
p
p
li
c
a
ti
o
n
.
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