I
nte
rna
t
io
na
l J
o
urna
l o
f
E
lect
rica
l a
nd
Co
m
p
ute
r
E
ng
in
ee
ring
(
I
J
E
CE
)
Vo
l.
7
,
No
.
2
,
A
p
r
il
201
7
,
p
p
.
659
~
6
6
6
I
SS
N:
2088
-
8708
,
DOI
: 1
0
.
1
1
5
9
1
/
i
j
ec
e
.
v
7
i
2
.
p
p
6
5
9
-
6
6
6
659
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ia
e
s
jo
u
r
n
a
l.c
o
m/o
n
lin
e/in
d
ex
.
p
h
p
/I
JE
C
E
M
a
x
im
u
m
P
o
w
er P
o
int
Tra
c
k
ing
using
Particle
Sw
a
r
m
O
pti
m
i
z
a
tion Alg
o
rith
m
f
o
r
H
y
bri
d
Wind
-
Tida
l
H
a
rv
esting
Sy
ste
m
on
t
h
e So
uth
Co
a
st of
Ja
v
a
F
ra
ns
is
co
Da
na
ng
Wij
a
y
a
,
K
u
k
uh
Da
u
d P
riba
di
,
Sa
rj
iy
a
De
p
a
rtme
n
t
o
f
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
a
n
d
I
n
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
,
Un
iv
e
rsitas
Ga
d
jah
M
a
d
a
,
Yo
g
y
a
k
a
rta,
In
d
o
n
e
sia
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Oct
2
4
,
2
0
1
6
R
ev
i
s
ed
J
an
2
3
,
2
0
1
7
A
cc
ep
ted
Feb
7
,
2
0
1
7
T
h
is
p
a
p
e
r
p
ro
p
o
se
s
a
h
y
b
rid
win
d
-
ti
d
a
l
h
a
rv
e
stin
g
sy
ste
m
(H
WT
HS)
.
T
o
ex
trac
t
m
a
x
i
m
u
m
p
o
w
e
r
f
ro
m
th
e
w
in
d
a
n
d
ti
d
a
l
,
HW
T
HS
i
m
p
le
m
e
n
ts
p
a
rti
c
le
sw
a
r
m
o
p
ti
m
iza
ti
o
n
(P
S
O)
a
lg
o
rit
h
m
in
m
a
x
i
m
u
m
p
o
w
e
r
p
o
in
t
trac
k
in
g
(M
P
P
T
)
m
e
th
o
d
.
T
h
e
p
ro
p
o
se
d
HW
T
HS
h
a
d
b
e
e
n
tes
ted
o
n
t
h
e
ra
n
g
e
o
f
p
o
ss
ib
le
i
n
p
u
t
a
p
p
r
o
p
riat
e
to
t
h
e
c
h
a
ra
c
teri
stics
o
f
th
e
so
u
t
h
e
rn
c
o
a
st
o
f
J
a
v
a
.
T
h
e
p
re
se
n
te
d
re
su
lt
sh
o
w
s
th
a
t
b
y
u
sin
g
P
S
O
-
b
a
se
d
M
P
P
T
a
lg
o
rit
h
m
,
m
a
x
i
m
u
m
p
o
w
e
r
p
o
in
t
c
a
n
b
e
a
c
h
iev
e
d
.
T
h
u
s
th
e
e
ff
icie
n
c
y
o
f
HWT
HS
is
9
2
%
,
9
4
%
in
w
in
d
se
c
ti
o
n
a
n
d
9
1
%
in
ti
d
a
l
se
c
ti
o
n
.
By
u
sin
g
PSO
-
b
a
se
d
M
P
P
T
,
HW
T
HS
c
a
n
re
sp
o
n
d
w
e
ll
to
c
h
a
n
g
e
s
in
w
in
d
a
n
d
t
id
a
l
sp
e
e
d
,
w
h
e
th
e
r
it
'
s a c
h
a
n
g
e
f
ro
m
lo
w
sp
e
e
d
to
a
h
ig
h
e
r
sp
e
e
d
o
r
c
h
a
n
g
e
f
ro
m
h
ig
h
sp
e
e
d
to
lo
w
e
r
sp
e
e
d
w
h
e
re
i
n
ti
m
e
to
re
a
c
h
n
e
w
ste
a
d
y
st
a
te
is
±
0
.
1
s
.
A
t
v
a
ried
w
in
d
a
n
d
ti
d
a
l
sp
e
e
d
,
P
S
O
a
lg
o
rit
h
m
c
a
n
m
a
in
tain
Cp
o
f
t
h
e
s
y
ste
m
in
th
e
ra
n
g
e
o
f
0
.
4
7
-
0
.
4
8
so
t
h
a
t
p
o
w
e
r
c
a
n
b
e
e
x
trac
ted
to
th
e
m
a
x
i
m
u
m
.
K
ey
w
o
r
d
:
MP
PT
Oce
an
en
er
g
y
P
SO
R
en
e
w
ab
le
e
n
er
g
y
W
in
d
en
er
g
y
Co
p
y
rig
h
t
©
2
0
1
7
In
stit
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts
re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Ku
k
u
h
Da
u
d
P
r
ib
ad
i,
Dep
ar
t
m
en
t o
f
E
lectr
ical
E
n
g
i
n
ee
r
in
g
an
d
I
n
f
o
r
m
at
io
n
T
ec
h
n
o
lo
g
y
,
Un
i
v
er
s
ita
s
Gad
j
ah
Ma
d
a
,
Gr
af
i
k
a
No
2
,
Yo
g
y
ak
ar
ta
55281
,
I
n
d
o
n
esia.
E
m
ail:
te
k
n
ik
@
u
g
m
.
ac
.
id
1.
I
NT
RO
D
UCT
I
O
N
I
n
d
o
n
esia
is
a
n
ar
ch
ip
elag
o
t
h
at
2
/3
o
f
its
ter
r
ito
r
y
is
o
ce
an
.
I
t
h
as
th
e
lo
n
g
e
s
t
co
astl
i
n
e
in
th
e
w
o
r
ld
,
ab
o
u
t
±
8
0
7
9
1
.
4
2
k
m
,
w
h
ic
h
is
a
p
o
ten
tial
ar
ea
f
o
r
d
ev
elo
p
m
en
t
o
f
w
i
n
d
an
d
o
ce
an
p
o
w
er
p
lan
ts
.
I
n
d
o
n
esia
h
as
av
er
a
g
e
w
in
d
s
p
ee
d
ab
o
u
t
±
5
m
/
s
.
T
h
e
w
in
d
s
p
ee
d
o
f
4
m
/s
to
5
m
/
s
is
class
if
ied
as
lo
w
-
s
ized
w
it
h
a
p
o
ten
tial
ca
p
ac
it
y
o
f
1
-
1
0
0
k
W
.
Mo
r
eo
v
er
,
th
e
e
x
ten
t
o
f
m
ar
in
e
ar
ea
s
o
f
I
n
d
o
n
esia
is
als
o
a
p
o
ten
tial
s
o
u
r
ce
o
f
o
ce
an
w
av
e
e
n
er
g
y
.
S
ev
er
al
m
ar
in
e
ar
ea
s
i
n
I
n
d
o
n
e
s
i
a
h
a
v
e
an
av
er
ag
e
w
a
v
e
h
eig
h
t
b
et
w
ee
n
0
.
5
to
3
m
.
T
o
o
p
tim
ize
th
e
p
o
w
er
g
en
er
a
tio
n
s
y
s
te
m
s
,
t
w
o
o
r
m
o
r
e
t
y
p
es
o
f
en
er
g
y
s
o
u
r
ce
s
ca
n
b
e
co
m
b
i
n
ed
.
E
ac
h
o
f
th
e
en
er
g
y
s
o
u
r
ce
s
ca
n
o
v
er
co
m
e
t
h
e
w
ea
k
n
e
s
s
o
f
t
h
e
o
th
er
.
T
h
e
i
n
ter
m
itte
n
t
n
at
u
r
e
o
f
w
in
d
e
n
er
g
y
ca
n
b
e
co
m
p
en
s
ated
b
y
t
h
e
p
r
ed
ictab
le
n
atu
r
e
o
f
o
ce
a
n
w
a
v
e
en
er
g
y
.
Ho
w
e
v
er
,
t
h
e
ex
is
ten
ce
o
f
m
a
x
i
m
u
m
p
o
w
er
p
o
in
t
tr
ac
k
er
in
r
en
e
w
ab
le
en
er
g
y
p
o
w
er
p
lan
t
s
ar
e
s
till
ess
e
n
tia
l
to
en
s
u
r
e
th
at
t
h
e
m
a
x
i
m
u
m
p
o
w
er
ca
n
b
e
ex
tr
ac
ted
[
1
]
,
[
2
]
.
On
[
3
]
,
a
s
tep
s
ize
w
h
ic
h
is
u
s
ed
i
s
a
f
i
x
ed
v
al
u
e
s
o
th
at
it
w
ill
af
f
ec
t
th
e
s
p
ee
d
o
f
ac
h
iev
in
g
co
n
v
er
g
e
n
t
.
C
h
o
o
s
i
n
g
th
e
ap
p
r
o
p
r
iate
v
alu
e
o
f
a
s
tep
s
ize
is
ess
e
n
tial
in
d
es
ig
n
in
g
MP
PT
.
A
s
m
all
s
tep
s
ize
v
al
u
es
w
il
l
m
i
n
i
m
iz
e
th
e
o
cc
u
r
r
en
ce
o
f
o
s
cillat
io
n
s
b
u
t
t
h
e
s
y
s
te
m
w
il
l
tak
e
a
l
o
n
g
ti
m
e
to
ac
h
ie
v
e
co
n
v
er
g
e
n
t.
L
ar
g
e
s
tep
s
ize
v
alu
e
s
w
ill
s
h
o
r
ten
t
h
e
ti
m
e
to
ac
h
ie
v
e
co
n
v
er
g
en
t
b
u
t
o
s
cillatio
n
w
ill
o
c
cu
r
ar
o
u
n
d
th
e
o
p
ti
m
u
m
p
o
in
t so
i
t
w
il
l
p
r
o
d
u
ce
lo
s
s
es.
T
h
u
s
,
t
h
e
u
s
e
o
f
ad
ap
tiv
e
s
tep
-
s
ize
MP
PT
alg
o
r
ith
m
i
s
th
e
r
ig
h
t
s
o
l
u
tio
n
to
o
p
ti
m
ize
s
p
ee
d
to
ac
h
iev
e
co
n
v
er
g
en
t
an
d
lo
s
s
es
d
u
e
to
o
s
cillatio
n
s
[4
-
6]
.
R
esear
ch
s
u
r
r
o
u
n
d
in
g
ad
ap
tiv
e
MP
P
T
i
s
g
ett
in
g
a
l
o
t
d
o
n
e
,
s
o
m
e
al
g
o
r
ith
m
s
w
h
ic
h
h
av
e
b
ee
n
u
s
ed
ar
e
n
eu
r
o
-
f
u
zz
y
,
g
en
et
ic
al
g
o
r
ith
m
s
,
s
i
m
u
lated
an
n
ea
li
n
g
,
a
n
d
P
SO
.
T
h
e
u
s
e
o
f
ad
ap
ti
v
e
MP
PT
alg
o
r
ith
m
s
h
o
w
s
a
g
o
o
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
MPP
T u
s
in
g
P
S
O
A
lg
o
r
ith
m
f
o
r
Win
d
-
Tid
a
l W
a
ve
E
n
erg
y
Ha
r
ve
s
tin
g
S
ystem
…
(
Fra
n
sisc
o
Da
n
a
n
g
W
ij
a
y
a
)
660
p
er
f
o
r
m
a
n
ce
to
m
ax
i
m
ize
t
h
e
o
u
tp
u
t
p
o
w
er
o
f
r
e
n
e
w
ab
le
en
er
g
y
p
o
w
er
p
lan
ts
.
B
y
u
s
i
n
g
P
SO
al
g
o
r
it
hm
,
ef
f
icien
c
y
o
f
w
i
n
d
en
er
g
y
c
o
n
v
er
s
io
n
s
y
s
te
m
s
ca
n
b
e
i
n
cr
ea
s
ed
,
an
d
s
h
o
w
ed
a
g
o
o
d
p
er
f
o
r
m
an
ce
i
n
r
esp
o
n
d
in
g
to
c
h
an
g
es i
n
w
i
n
d
s
p
ee
d
,
as p
r
esen
ted
in
[
7
]
.
I
n
th
is
r
esear
c
h
,
h
y
b
r
id
w
in
d
-
tid
al
h
ar
v
esti
n
g
s
y
s
te
m
(
HW
T
HS)
w
as
co
m
p
o
s
ed
o
f
w
i
n
d
an
d
tid
al
tu
r
b
in
e
s
y
s
te
m
.
T
o
m
ax
i
m
ize
t
h
e
o
u
tp
u
t p
o
w
er
o
f
HW
T
HS,
P
SO a
lg
o
r
ith
m
w
a
s
u
s
ed
to
co
n
tr
o
l th
e
d
u
t
y
c
y
cle
o
f
th
e
b
u
ck
-
b
o
o
s
t
co
n
v
er
ter
.
MP
PT
p
r
o
ce
s
s
w
as
p
er
f
o
r
m
ed
o
n
ea
ch
s
y
s
te
m
,
w
in
d
e
n
er
g
y
s
y
s
te
m
(
W
E
S)
an
d
tid
al
en
er
g
y
s
y
s
te
m
(
T
E
S)
,
s
o
th
at
t
h
e
m
a
x
i
m
u
m
p
o
w
e
r
o
f
ea
ch
s
y
s
te
m
ca
n
ce
r
tain
l
y
b
e
e
x
tr
ac
ted
.
Fu
r
t
h
er
m
o
r
e,
to
tal
ex
tr
ac
ted
p
o
w
er
f
r
o
m
t
h
e
t
w
o
s
y
s
te
m
s
wer
e
tr
an
s
f
er
r
ed
to
th
e
lo
ad
.
I
n
th
is
s
t
u
d
y
,
HW
T
HS
w
a
s
test
ed
in
ac
co
r
d
an
ce
w
it
h
th
e
p
r
ev
aili
n
g
w
in
d
s
a
n
d
o
ce
an
w
av
e
s
o
n
t
h
e
s
o
u
t
h
co
ast o
f
J
av
a
is
lan
d
.
2.
H
WT
H
S’s M
P
P
T
HW
T
HS
w
a
s
co
m
p
o
s
ed
o
f
win
d
tu
r
b
i
n
e,
tid
al
tu
r
b
in
e,
r
ec
t
if
ier
,
b
u
c
k
-
b
o
o
s
t
co
n
v
er
ter
,
an
d
lo
ad
as
s
h
o
w
n
i
n
Fi
g
u
r
e
1
.
W
in
d
a
n
d
tid
al
tu
r
b
in
e
w
a
s
u
s
ed
to
co
n
v
er
t
w
i
n
d
an
d
tid
al
e
n
er
g
y
i
n
to
m
ec
h
a
n
ical
e
n
er
g
y
ac
co
r
d
in
g
to
(
1
)
.
T
h
e
co
ef
f
i
cien
t
o
f
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
tu
r
b
in
e
(
C
p
)
r
ep
r
esen
ts
th
e
p
o
w
er
ex
tr
ac
tio
n
ef
f
icien
c
y
f
r
o
m
t
u
r
b
in
e
s
.
I
n
th
eo
r
y
,
th
e
m
a
x
i
m
u
m
v
al
u
e
o
f
C
p
is
0
.
5
9
,
b
u
t
in
p
r
ac
tice
th
e
C
p
v
alu
es
o
n
l
y
i
n
th
e
r
an
g
e
o
f
0
.
4
–
0.
45
[
8
]
.
A
t
ea
ch
t
u
r
b
in
e
t
h
er
e
is
a
s
p
esi
f
ic
o
p
er
atin
g
p
o
in
t
w
h
er
e
th
e
m
ec
h
a
n
ical
p
o
w
er
ca
n
b
e
ex
tr
ac
ted
to
th
e
m
a
x
i
m
u
m
,
t
h
e
p
o
in
t
is
co
m
m
o
n
l
y
r
e
f
er
r
ed
to
o
p
tim
u
m
tip
s
p
ee
d
r
at
io
(
T
SR
)
.
T
SR
(
λ
)
is
th
e
r
atio
b
et
w
ee
n
t
h
e
r
o
tati
o
n
al
s
p
ee
d
to
w
in
d
(
o
r
tid
al)
s
p
ee
d
(
4
)
.
I
n
th
e
s
ta
te
o
f
w
i
n
d
an
d
tid
al
v
ar
y
o
v
er
th
e
ti
m
e,
th
e
T
SR
s
h
o
u
ld
b
e
m
ain
tai
n
ed
s
o
th
e
v
al
u
e
w
ill
al
wa
y
s
b
e
at
th
e
o
p
ti
m
u
m
p
o
in
t.
T
h
u
s
,
th
e
C
p
o
f
t
h
e
s
y
s
te
m
ca
n
b
e
k
ep
t c
o
n
s
tan
t a
t
th
e
o
p
ti
m
al
p
o
in
t
s
o
th
at
m
ax
i
m
u
m
elec
tr
ical
p
o
w
er
ca
n
b
e
ex
tr
ac
ted
.
,
(
1
)
(
)
,
(
2
)
,
(
3
)
.
(
4
)
w
h
er
e
P
m
is
m
ec
h
a
n
ical
p
o
w
e
r
,
ρ
is
air
an
d
s
ea
w
ater
d
en
s
it
y
,
R
is
r
o
to
r
d
iam
eter
,
V
is
w
i
n
d
o
r
tid
al
s
p
ee
d
(
m
/s
)
,
β
i
s
p
icth
a
n
g
le,
an
d
ω
m
is
r
o
tatio
n
al
s
p
ee
d
.
Fi
g
u
r
e
2
s
h
o
w
s
t
h
e
p
o
w
er
c
h
ar
ac
ter
is
tic
s
o
f
w
i
n
d
an
d
tid
a
l
tu
r
b
in
e
i
n
w
h
ic
h
at
a
n
y
w
in
d
an
d
tid
al
s
p
ee
d
th
er
e
i
s
a
ce
r
t
ain
r
o
tatio
n
al
s
p
ee
d
w
h
er
e
t
h
e
m
a
x
i
m
u
m
p
o
w
er
g
en
er
ated
.
T
h
e
p
o
in
t
b
ec
o
m
e
s
th
e
tar
g
et
o
f
MP
P
T
s
o
C
p
c
an
b
e
k
ep
t
co
n
s
ta
n
t
at
t
h
e
o
p
ti
m
al
p
o
in
t
a
n
d
th
e
g
en
er
ated
p
o
w
er
is
al
w
a
y
s
m
a
x
i
m
u
m
.
T
o
b
e
a
b
le
to
ex
tr
ac
t
th
e
m
a
x
i
m
u
m
p
o
w
er
,
d
u
t
y
c
y
cle
o
f
th
e
b
u
c
k
-
b
o
o
s
t
co
n
v
er
ter
w
a
s
eq
u
ip
p
ed
w
it
h
MP
P
T
alg
o
r
ith
m
.
T
h
e
o
u
tp
u
t
p
o
w
er
o
f
t
h
e
b
u
ck
-
b
o
o
s
t
co
n
v
er
ter
w
as
t
h
e
b
asis
v
ar
i
ab
le
f
o
r
ev
alu
at
in
g
th
e
d
u
t
y
c
y
cle.
I
n
t
h
is
s
t
u
d
y
,
t
h
e
P
SO
alg
o
r
it
h
m
u
s
ed
3
p
ar
ticles
w
h
er
ein
t
h
e
p
ar
ticles
r
ep
r
esen
t
a
d
u
t
y
c
y
cle
(
d
)
.
W
h
ile
s
p
ee
d
(
Ф
)
r
ep
r
ese
n
ts
s
tep
-
s
ize
o
f
d
u
t
y
c
y
cle.
MP
PT
p
r
o
ce
s
s
w
as
ca
r
r
ied
o
u
t
w
it
h
r
ef
er
e
n
ce
to
Fig
u
r
e
3
.
W
h
er
e
w
is
t
h
e
m
o
m
en
tu
m
f
ac
to
r
(
w
=
0
.
1
5
)
,
r
1
an
d
r
2
ar
e
r
an
d
o
m
v
alu
e
s
b
et
w
ee
n
0
a
n
d
1
,
c
1
an
d
c
2
ar
e
ac
ce
ler
atio
n
co
n
s
tan
ts
(
c
1
= c
2
=
0
.
5
an
d
1
.
6
)
.
Fig
u
r
e
1
.
B
lo
ck
d
iag
r
a
m
o
f
H
W
T
HS
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
.
2
,
A
p
r
il
2
0
1
7
:
6
5
9
–
666
661
(
a)
(
b
)
Fig
u
r
e
2
.
(
a)
C
h
ar
ac
ter
is
tics
o
f
tu
r
b
in
e
p
o
w
er
as a
f
u
n
ctio
n
o
f
th
e
r
o
to
r
s
p
ee
d
f
o
r
a
s
er
ies o
f
w
i
n
d
s
p
ee
d
s
,
(
b
)
C
h
ar
ac
ter
is
tics
o
f
t
u
r
b
in
e
p
o
w
er
as a
f
u
n
ctio
n
o
f
th
e
r
o
to
r
s
p
ee
d
f
o
r
a
s
er
ies o
f
tid
al
s
p
ee
d
s
Fig
u
r
e
3
.
Flo
w
c
h
ar
t
o
f
P
SO M
P
PT
alg
o
r
ith
m
W
in
d
an
d
tid
al
tu
r
b
i
n
e
p
ar
am
eter
s
u
s
ed
i
n
th
is
r
esear
c
h
ca
n
b
e
s
ee
n
i
n
T
ab
le
1
al
o
n
g
w
it
h
p
ar
am
eter
s
o
f
P
MSG.
Fig
u
r
e
4
s
h
o
w
s
w
in
d
a
n
d
s
ea
w
a
v
es
ch
ar
ac
ter
is
tic
w
h
ic
h
w
er
e
t
h
e
b
asis
f
o
r
test
i
n
g
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
.
T
h
e
w
i
n
d
g
r
ad
ien
t
i
n
th
e
r
eg
io
n
o
f
I
n
d
o
n
esia
g
e
n
er
all
y
b
l
o
w
s
f
r
o
m
th
e
s
o
u
th
ea
s
t
-
So
u
th
w
ester
n
w
it
h
w
i
n
d
s
p
ee
d
s
r
an
g
in
g
b
et
w
ee
n
2
.
5
-
1
0
m
/
s
.
W
ith
t
h
e
h
ig
h
e
s
t
w
i
n
d
s
p
ee
d
s
w
er
e
i
n
th
e
W
ester
n
I
n
d
ian
Oce
an
So
u
t
h
Su
m
atr
a
to
E
ast
J
av
a,
A
n
d
a
m
an
Sea,
So
u
t
h
C
h
in
a
Sea,
J
a
v
a
Sea
an
d
th
e
E
a
s
ter
n
P
ac
i
f
ic
Oce
a
n
P
h
ilip
p
in
es.
Fi
g
u
r
e
4
(
a)
is
a
s
am
p
le
d
at
a
o
f
w
i
n
d
s
p
ee
d
o
n
th
e
So
u
th
C
o
ast
o
f
J
av
a
tak
en
f
r
o
m
2
-
5
Sep
te
m
b
er
2
0
1
6
.
T
h
e
w
in
d
s
p
ee
d
v
ar
ied
b
et
w
ee
n
1
.
03
-
5
.
6
6
m
/s
w
i
th
a
n
av
er
a
g
e
w
i
n
d
s
p
ee
d
o
f
3
.
8
1
m/
s
.
A
t
t
h
at
ti
m
e
th
e
d
o
m
i
n
a
n
t
w
i
n
d
s
p
ee
d
w
as
4
-
5
m
/s
.
T
h
is
w
as
i
n
f
lu
e
n
ce
d
b
y
th
e
c
h
ar
ac
t
er
o
f
th
e
m
o
n
s
o
o
n
ea
s
t
w
h
er
e
th
e
w
i
n
d
b
le
w
f
r
o
m
th
e
co
n
t
in
e
n
t
o
f
Au
s
tr
alia
to
th
e
Asi
an
co
n
t
in
e
n
t
t
h
r
o
u
g
h
th
e
d
eser
t
in
t
h
e
n
o
r
th
er
n
p
ar
t
o
f
A
u
s
tr
alia
an
d
o
n
l
y
th
r
o
u
g
h
th
e
n
ar
r
o
w
s
ea
.
So
th
e
w
i
n
d
w
a
s
d
r
y
w
h
ich
r
esu
lt
in
g
ter
r
ito
r
y
o
f
I
n
d
o
n
esia s
u
f
f
er
ed
d
r
o
u
g
h
t a
n
d
in
g
en
er
al
h
ad
a
r
elativ
el
y
s
t
ab
le
w
i
n
d
s
p
ee
d
.
Wh
en
t
h
e
w
in
d
b
lo
w
s
o
v
er
t
h
e
s
u
r
f
ac
e
o
f
t
h
e
s
ea
,
s
o
m
e
o
f
i
ts
e
n
er
g
y
i
s
tr
an
s
f
er
r
ed
to
th
e
s
ea
w
ater
th
r
o
u
g
h
f
r
ictio
n
b
et
w
ee
n
t
h
e
a
ir
m
o
lec
u
les
a
n
d
th
e
w
ater
m
o
lecu
les.
Data
s
h
o
w
ed
th
at
s
e
v
er
al
m
ar
i
n
e
ar
ea
s
in
I
n
d
o
n
esia
h
ad
th
e
p
o
ten
tial
wav
es
w
it
h
a
n
a
v
er
a
g
e
h
ei
g
h
t
o
f
0
.
5
–
2
m
,
w
h
ic
h
is
a
p
o
ten
ti
al
s
o
u
r
ce
o
f
en
er
g
y
to
g
en
er
ate
elec
tr
icit
y
.
Sa
m
p
le
d
ata
o
f
o
ce
an
w
a
v
e
h
ei
g
h
t
o
n
th
e
So
u
t
h
C
o
as
t
o
f
J
av
a
ca
n
b
e
s
ee
n
in
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
MPP
T u
s
in
g
P
S
O
A
lg
o
r
ith
m
f
o
r
Win
d
-
Tid
a
l W
a
ve
E
n
erg
y
Ha
r
ve
s
tin
g
S
ystem
…
(
Fra
n
sisc
o
Da
n
a
n
g
W
ij
a
y
a
)
662
Fig
u
r
e
4
(
b
)
.
Oce
an
W
av
e
h
ei
g
h
t
v
ar
ied
b
et
w
ee
n
2
.
4
–
2
.
8
m
w
it
h
a
n
av
er
a
g
e
h
eig
h
t
o
f
2
.
5
4
m
.
A
lt
h
o
u
g
h
t
h
e
p
r
o
ce
s
s
o
f
f
o
r
m
atio
n
o
f
w
a
v
es
in
f
l
u
en
ce
d
b
y
t
h
e
w
in
d
,
b
u
t
b
o
th
h
av
e
d
if
f
er
en
t
c
h
ar
ac
ter
is
t
ics
.
A
s
ca
n
b
e
s
ee
n
o
n
Fig
u
r
e
4
(
b
)
,
o
ce
an
w
a
v
e
is
m
o
r
e
p
r
ed
ictab
le
an
d
s
tab
le,
s
o
th
e
n
at
u
r
e
o
f
o
ce
an
w
av
e
e
n
er
g
y
ca
n
b
e
u
s
ed
to
co
m
p
e
n
s
ate
t
h
e
i
n
ter
m
itte
n
t n
atu
r
e
o
f
w
i
n
d
en
er
g
y
.
T
ab
le
1
.
T
h
e
P
a
r
am
eter
o
f
W
i
n
d
an
d
T
id
al
T
u
r
b
in
e
W
i
n
d
T
u
r
b
i
n
e
–
P
M
S
G
T
i
d
a
l
T
u
r
b
i
n
e
-
P
M
S
G
R
a
t
e
d
w
i
n
d
s
p
e
e
d
1
4
m/
s
R
a
t
e
d
t
i
d
a
l
sp
e
e
d
3
m
/
s
R
o
t
o
r
d
i
a
me
t
e
r
0
.
9
m
R
o
t
o
r
d
i
a
me
t
e
r
0
.
9
m
R
a
t
e
d
p
o
w
e
r
1
k
W
R
a
t
e
d
p
o
w
e
r
1
.
5
k
W
I
n
e
r
t
i
a
0
.
0
0
0
8
k
g
.
m
2
I
n
e
r
t
i
a
0
.
0
0
0
4
k
g
.
m
2
N
o
mi
n
a
l
r
o
t
a
t
i
o
n
a
l
s
p
e
e
d
1
.
2
p
u
N
o
mi
n
a
l
r
o
t
a
t
i
o
n
a
l
s
p
e
e
d
1
.
2
p
u
S
t
a
t
o
r
p
h
a
se
r
e
si
st
a
n
c
e
8
.
6
7
mΩ
S
t
a
t
o
r
p
h
a
se
r
e
si
st
a
n
c
e
8
.
6
7
mΩ
d
-
a
x
i
s
i
n
d
u
c
t
a
n
c
e
2
.
8
6
mH
d
-
a
x
i
s
i
n
d
u
c
t
a
n
c
e
2
.
8
6
mH
q
-
a
x
i
s
i
n
d
u
c
t
a
n
c
e
3
.
4
4
mH
q
-
a
x
i
s
i
n
d
u
c
t
a
n
c
e
3
.
4
4
mH
R
o
t
a
t
i
o
n
a
l
d
a
mp
i
n
g
0
.
0
0
1
N
.
m.s
R
o
t
a
t
i
o
n
a
l
d
a
mp
i
n
g
0
.
0
0
1
N
.
m.s
(
a)
(
b
)
Fig
u
r
e
4
.
(
a)
W
in
d
ch
ar
ac
ter
is
tic
o
n
th
e
s
o
u
t
h
co
ast o
f
J
av
a
,
(
b
)
Oce
an
w
a
v
e
ch
ar
ac
ter
is
t
ic
o
n
th
e
s
o
u
th
co
ast
o
f
J
av
a
3.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
Af
ter
t
h
e
a
n
al
y
s
i
s
o
f
t
h
e
d
es
ig
n
a
n
d
MP
PT
m
ec
h
a
n
i
s
m
f
o
r
HW
T
HS,
s
i
m
u
latio
n
u
s
i
n
g
Si
m
u
lin
k
w
a
s
co
n
d
u
cted
to
v
er
if
y
t
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
as
s
h
o
w
n
i
n
Fig
u
r
e
5
.
I
n
th
is
s
i
m
u
latio
n
,
th
e
p
ar
am
eter
s
u
s
ed
i
n
HW
T
HS r
ef
er
to
T
a
b
le
1
.
T
h
e
lo
ad
u
s
ed
in
th
i
s
s
t
u
d
y
i
s
a
r
es
is
ti
v
e
lo
ad
w
it
h
a
v
al
u
e
1
0
Ω
.
3
.
1
.
P
er
f
o
rm
a
nce
o
f
P
SO
M
P
P
T
Alg
o
rit
h
m
f
o
r
E
a
ch
Sy
s
t
e
m
B
ased
o
n
s
im
u
lat
io
n
r
esu
l
ts
,
th
e
g
r
ea
ter
th
e
w
in
d
s
p
ee
d
,
th
e
o
u
tp
u
t
p
o
w
er
o
f
th
e
W
E
S
b
ec
am
e
g
r
ea
ter
.
T
h
is
al
s
o
ap
p
lies
to
T
E
S
,
th
e
g
r
ea
ter
th
e
s
p
ee
d
o
f
t
h
e
tid
al
,
th
e
o
u
tp
u
t
p
o
w
er
o
f
T
E
S
also
in
cr
ea
s
e
d
.
P
SO
alg
o
r
ith
m
w
h
ich
w
a
s
i
m
p
le
m
en
ted
o
n
HW
T
HS
co
u
ld
in
cr
ea
s
e
t
h
e
o
u
tp
u
t
p
o
w
er
o
f
ea
ch
s
y
s
te
m
,
b
o
th
W
E
S
an
d
T
E
S
.
T
h
u
s
,
th
e
e
f
f
i
cien
c
y
o
f
W
E
S
co
u
ld
b
e
in
cr
ea
s
ed
f
r
o
m
7
1
%
to
9
4
%
w
h
il
e
T
E
S’
s
ef
f
icie
n
c
y
in
cr
ea
s
ed
f
r
o
m
6
6
%
to
9
1
%.
I
n
th
e
T
E
S
,
in
ad
d
itio
n
to
i
m
p
r
o
v
e
th
e
ef
f
icie
n
c
y
o
f
2
4
%,
th
e
u
s
e
o
f
t
h
e
P
SO
al
g
o
r
ith
m
al
s
o
co
u
ld
m
ai
n
tai
n
s
y
s
te
m
ef
f
icie
n
c
y
at
9
1
%
w
h
e
r
e
T
E
S’
s
ef
f
icie
n
c
y
t
h
at
d
id
n
o
t u
s
e
MP
P
T
v
ar
ies
b
et
w
ee
n
4
9
-
8
6
%.
P
er
f
o
r
m
a
n
c
e
o
f
W
E
S a
n
d
T
E
S
at
an
y
w
i
n
d
s
p
ee
d
an
d
tid
al
s
p
ee
d
ca
n
b
e
s
ee
n
i
n
Fi
g
u
r
e
6
.
3
.
2
.
P
er
f
o
rm
a
nce
o
f
P
SO
M
P
P
T
Alg
o
rit
h
m
f
o
r
H
WT
H
S
B
ased
o
n
[
9
]
,
tid
al
s
p
ee
d
is
a
f
u
n
c
tio
n
o
f
t
h
e
o
ce
a
n
w
a
v
e
h
eig
h
t
as
s
tated
i
n
(
5
)
.
W
h
er
e
U
is
tid
al
s
p
ee
d
,
m
w
as
a
v
er
a
g
e
b
ea
ch
s
lo
p
e
(
m
=
0.033)
,
g
i
s
ac
ce
le
r
atio
n
o
f
g
r
av
i
t
y
(
g
=
9
.
8
m
/
s
2
)
,
H
is
o
ce
an
w
a
v
e
h
eig
h
t,
a
n
d
α
w
as t
h
e
w
a
v
e
b
r
ea
k
er
an
g
le
(
α
=
1
5
˚
)
.
√
(
5
)
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
.
2
,
A
p
r
il
2
0
1
7
:
6
5
9
–
666
663
T
h
u
s
,
b
ased
o
n
Fi
g
u
r
e
4
(
b
)
,
tid
al
s
p
ee
d
o
n
t
h
e
s
o
u
t
h
co
ast
o
f
J
av
a
w
as
i
n
t
h
e
r
an
g
e
o
f
1
.
5
-
1
.
8
m
/s
.
Fig
u
r
e
7
(
a)
an
d
Fig
u
r
e
8
(
a)
s
h
o
w
s
a
m
o
d
el
o
f
w
in
d
s
p
ee
d
an
d
tid
al
s
p
ee
d
u
s
ed
f
o
r
HW
T
HS te
s
ti
n
g
.
Fig
u
r
e
5
.
Si
m
u
li
n
k
b
lo
ck
o
f
H
W
T
HS
(a
)
(
b
)
(
c)
(
d
)
Fig
u
r
e
6
.
(
a)
Ou
tp
u
t p
o
w
er
o
f
s
tan
d
-
alo
n
e
w
i
n
d
en
er
g
y
s
y
s
te
m
,
(
b
)
Ou
tp
u
t p
o
w
er
o
f
s
tan
d
-
alo
n
e
tid
al
en
er
g
y
s
y
s
te
m
,
(
c)
E
f
f
icie
n
c
y
o
f
s
ta
n
d
-
alo
n
e
w
i
n
d
en
er
g
y
s
y
s
te
m
,
(
d
)
E
f
f
icie
n
c
y
o
f
s
ta
n
d
-
a
lo
n
e
w
i
n
d
en
er
g
y
s
y
s
te
m
Du
r
in
g
3
s
,
w
i
n
d
s
p
ee
d
ch
an
g
ed
f
r
o
m
5
m
/
s
to
6
m
/
s
th
e
n
d
o
w
n
to
4
m
/s
.
Ge
n
er
ato
r
r
o
tat
io
n
s
p
ee
d
r
esp
o
n
d
ed
w
ell
to
w
i
n
d
s
p
e
ed
ch
an
g
es
w
h
er
ei
n
ti
m
e
to
r
ea
ch
ed
n
e
w
s
tead
y
s
tate
wa
s
0
.
1
s
.
W
h
en
t
h
e
w
i
n
d
s
p
ee
d
v
ar
ied
f
r
o
m
4
m
/s
to
6
m
/s
,
p
o
w
er
t
h
at
co
u
ld
b
e
ex
tr
a
cted
v
ar
ied
f
r
o
m
1
0
5
W
to
2
6
0
W
an
d
C
p
w
a
s
i
n
th
e
r
an
g
e
o
f
0
.
47
–
0
.
48
.
C
p
’
s
r
esp
o
n
s
e,
g
en
er
ato
r
r
o
tatio
n
s
p
ee
d
,
an
d
W
E
S
’
s
ex
tr
ac
ted
p
o
w
er
ca
n
b
e
s
ee
n
Fig
u
r
e
7
.
A
s
f
o
r
th
e
T
E
S,
tid
al
s
p
ee
d
r
o
s
e
f
r
o
m
1
.
7
m
/
s
to
1
.
8
m
/
s
th
e
n
d
o
w
n
to
1
.
5
m
/s
.
As
in
W
E
S,
T
E
S
’
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
MPP
T u
s
in
g
P
S
O
A
lg
o
r
ith
m
f
o
r
Win
d
-
Tid
a
l W
a
ve
E
n
erg
y
Ha
r
ve
s
tin
g
S
ystem
…
(
Fra
n
sisc
o
Da
n
a
n
g
W
ij
a
y
a
)
664
g
en
er
ato
r
r
o
tatio
n
s
p
ee
d
r
esp
o
n
d
ed
w
e
ll
to
c
h
a
n
g
e
in
tid
al
s
p
ee
d
w
h
er
ei
n
t
i
m
e
to
r
ea
ch
n
e
w
s
tead
y
s
tate
w
a
s
0.
0
5
s
.
W
h
e
n
th
e
tid
al
s
p
ee
d
w
a
s
in
th
e
r
an
g
e
o
f
1
.
5
–
1
.
8
m
/s
,
p
o
w
er
th
a
t
co
u
ld
b
e
ex
tr
a
cted
v
ar
ied
b
etw
ee
n
2
8
0
W
an
d
4
0
9
W
,
also
C
p
w
a
s
in
th
e
r
a
n
g
e
o
f
0
.
4
7
–
0
.
4
7
5
.
C
p
’
s
r
esp
o
n
s
e,
g
en
er
ato
r
r
o
tatio
n
s
p
ee
d
,
an
d
T
E
S’
s
ex
tr
ac
ted
p
o
w
er
ca
n
b
e
s
ee
n
Fi
g
u
r
e
8
.
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
7
.
(
a)
W
in
d
s
p
ee
d
,
(
b
)
W
in
d
g
en
er
ato
r
r
o
tatio
n
s
p
ee
d
,
(
c)
W
in
d
ex
tr
ac
ted
p
o
w
er
,
(
d
)
W
E
S p
o
w
er
co
ef
f
icie
n
t
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
8
.
(
a)
T
id
al
s
p
ee
d
,
(
b
)
T
id
al
g
en
er
ato
r
r
o
tatio
n
s
p
ee
d
,
(
c)
T
id
al
ex
tr
ac
ted
p
o
w
er
,
(
d
)
T
E
S p
o
w
er
co
ef
f
icie
n
t
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
.
2
,
A
p
r
il
2
0
1
7
:
6
5
9
–
666
665
Fig
u
r
e
9
.
T
o
tal
h
ar
v
ested
p
o
w
er
f
r
o
m
HW
T
HS
Fig
u
r
e
9
s
h
o
w
s
h
ar
v
ested
p
o
w
er
f
r
o
m
HW
T
HS
at
w
i
n
d
s
p
ee
d
4
–
6
m
/
s
a
n
d
t
id
al
s
p
ee
d
1
.
5
–
1
.
8
m
/s
.
A
t
a
w
i
n
d
s
p
ee
d
o
f
4
m
/
s
an
d
tid
al
s
p
ee
d
o
f
1
.
5
m
/s
,
t
h
e
p
o
w
er
o
f
3
8
5
W
w
a
s
h
ar
v
ested
w
h
ile
at
w
i
n
d
s
p
ee
d
o
f
6
m
/s
a
n
d
tid
al
s
p
ee
d
o
f
1
.
8
m
/s
,
t
h
e
p
o
w
er
h
ar
v
e
s
ted
at
6
6
9
W
.
T
h
u
s
,
t
h
e
m
a
x
i
m
u
m
p
o
w
er
o
f
ea
ch
s
y
s
te
m
h
ad
b
ee
n
s
u
cc
e
s
s
f
u
l
l
y
e
x
tr
ac
ted
at
ea
ch
co
r
r
esp
o
n
d
in
g
in
p
u
t c
o
n
d
itio
n
s
.
4.
CO
NCLU
SI
O
N
T
h
e
p
r
o
p
o
s
ed
HW
T
HS
w
a
s
c
o
m
p
o
s
ed
o
f
w
i
n
d
t
u
r
b
in
e,
tid
al
tu
r
b
in
e,
r
ec
ti
f
ier
,
b
u
ck
-
b
o
o
s
t
co
n
v
er
ter
,
an
d
lo
ad
.
MP
PT
p
r
o
ce
s
s
w
a
s
p
er
f
o
r
m
ed
o
n
ea
ch
s
y
s
te
m
,
W
E
S
an
d
T
E
S.
T
h
e
p
r
o
p
o
s
e
d
s
y
s
te
m
h
ad
b
ee
n
test
ed
o
n
t
h
e
r
an
g
e
o
f
p
o
s
s
ib
le
in
p
u
t
ap
p
r
o
p
r
iate
to
th
e
ch
ar
ac
t
er
is
tics
o
f
th
e
s
o
u
th
er
n
co
ast
o
f
J
av
a.
T
h
e
p
r
esen
ted
r
es
u
lt
s
h
o
w
s
t
h
at
b
y
u
s
i
n
g
P
SO
-
b
ased
MP
P
T
al
g
o
r
ith
m
,
m
a
x
i
m
u
m
p
o
w
er
p
o
i
n
t
ca
n
b
e
ac
h
ie
v
ed
.
T
h
u
s
th
e
ef
f
ic
ien
c
y
o
f
HW
T
H
S
is
9
2
%,
9
4
%
in
w
in
d
s
ec
ti
o
n
an
d
9
1
%
in
tid
al
s
ec
tio
n
.
B
y
u
s
i
n
g
P
SO
-
b
ased
MP
PT
,
H
W
T
HS
ca
n
r
esp
o
n
d
w
ell
to
ch
an
g
e
s
in
w
i
n
d
an
d
t
id
al
s
p
ee
d
,
w
h
et
h
er
it
'
s
a
c
h
a
n
g
e
f
r
o
m
lo
w
s
p
ee
d
to
a
h
ig
h
er
s
p
ee
d
o
r
ch
an
g
e
f
r
o
m
h
i
g
h
s
p
ee
d
to
lo
w
er
s
p
ee
d
w
h
er
ein
ti
m
e
to
r
ea
ch
n
e
w
s
te
ad
y
s
tate
i
s
±
0
.
1
s
.
A
t
v
ar
ied
w
i
n
d
an
d
tid
al
s
p
ee
d
,
P
SO
alg
o
r
ith
m
ca
n
m
ai
n
tai
n
C
p
o
f
th
e
s
y
s
te
m
i
n
t
h
e
r
an
g
e
o
f
0
.
4
7
-
0
.
4
8
s
o
th
at
p
o
w
er
ca
n
b
e
ex
tr
ac
ted
to
th
e
m
a
x
i
m
u
m
.
ACK
NO
WL
E
D
G
E
M
E
NT
S
T
h
e
au
th
o
r
s
w
o
u
ld
lik
e
to
th
a
n
k
Fac
u
lt
y
o
f
E
n
g
i
n
ee
r
in
g
Un
iv
er
s
ita
s
Gad
j
ah
Ma
d
a
f
o
r
p
r
o
v
id
in
g
th
e
f
ac
ilit
ies to
co
n
d
u
ct
t
h
is
r
esear
ch
.
R
E
F
E
R
E
NC
E
S
[1
]
L
.
H.
P
ra
to
m
o
,
F
.
D.
W
ij
a
y
a
e
E.
F
irm
a
n
s
y
a
h
,
“
Ca
p
a
c
it
o
r
Ba
n
k
V
o
l
tag
e
Eq
u
il
i
b
riu
m
f
o
r
M
P
P
T
in
S
in
g
le
-
P
h
a
se
S
in
g
le
-
S
tag
e
F
iv
e
-
L
e
v
e
l
In
v
e
rter
f
o
r
P
V
-
G
rid
”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
i
n
e
e
rin
g
,
p
p
.
62
-
7
1
,
2
0
1
5
.
[2
]
K.T
.
A
h
m
e
d
,
M
.
Da
tt
a
e
N.
M
o
h
a
m
m
a
d
,
“
A
No
v
e
l
Tw
o
S
w
it
c
h
No
n
-
i
n
v
e
rti
n
g
Bu
c
k
-
Bo
o
st
C
o
n
v
e
rter
Ba
se
d
M
a
x
i
m
u
m
P
o
w
e
r
P
o
i
n
t
T
ra
c
k
in
g
S
y
ste
m
”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
i
n
e
e
rin
g
,
v
o
l.
3
,
p
p
.
4
6
7
-
4
7
7
,
2
0
1
3
.
[3
]
Y.
Da
e
A
.
Kh
a
li
g
h
,
“
Hy
b
rid
Off
sh
o
re
W
in
d
a
n
d
T
id
a
l
T
u
rb
in
e
En
e
rg
y
Ha
r
v
e
stin
g
S
y
ste
m
w
it
h
In
d
e
p
e
n
d
e
n
tl
y
Co
n
tr
o
ll
e
d
Re
c
ti
f
iers
”
,
e
m
IECON
'0
9
.
3
5
th
An
n
u
a
l
C
o
n
fer
e
n
c
e
o
f
IEE
E
,
2
0
0
9
.
[4
]
M
.
K.
Ho
n
g
e
H.H.
L
e
e
,
“
A
d
a
p
ti
v
e
M
a
x
i
m
u
m
P
o
w
e
r
P
o
i
n
t
T
ra
c
k
in
g
A
l
g
o
rit
h
m
f
o
r
V
a
riab
le
S
p
e
e
d
W
in
d
P
o
w
e
r
S
y
st
e
m
s”
,
L
if
e
S
y
ste
m M
o
d
e
li
n
g
a
n
d
In
tell
ig
e
n
t
Co
m
p
u
ti
n
g
,
v
o
l.
6
3
2
8
,
p
p
.
3
8
0
-
3
8
8
,
2
0
1
0
.
[5
]
S
.
M
.
R.
Ka
z
m
i,
“
A
No
v
e
l
A
l
g
o
rit
h
m
f
o
r
F
a
st
a
n
d
Eff
i
c
ien
t
S
p
e
e
d
-
S
e
n
so
rles
s
M
a
x
i
m
u
m
P
o
w
e
r
P
o
in
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
In
d
u
stri
a
l
El
e
c
tro
n
ics
,
v
o
l.
5
8
,
p
p
.
2
9
-
3
6
,
2
0
1
1
.
[6
]
E.
A
.
Am
o
n
,
T
.
K.
A
.
Bre
k
k
e
n
e
A
.
A
.
S
c
h
a
c
h
e
r,
“
M
a
x
i
m
u
m
P
o
w
e
r
P
o
in
t
T
ra
c
k
in
g
f
o
r
Oc
e
a
n
Wav
e
En
e
rg
y
Co
n
v
e
rsio
n
”
,
I
EE
E
T
r
a
n
s
a
c
ti
o
n
s
On
In
d
u
stry
A
p
p
li
c
a
ti
o
n
s,
v
o
l
.
9
,
p
p
.
1
0
7
9
-
1
0
8
6
,
2
0
1
2
.
[7
]
K.
Da
u
d
,
F
.
D.
W
ij
a
y
a
e
S
a
rji
y
a
,
“
Dy
n
a
mic
Res
p
o
n
se
O
f
M
a
x
imu
m
Po
we
r
Po
i
n
t
T
r
a
c
k
in
g
Us
in
g
Pa
rticle
S
w
a
rm
Op
ti
miza
ti
o
n
Fo
r
W
in
d
E
n
e
rg
y
C
o
n
v
e
rs
io
n
S
y
ste
m”
,
e
m
In
tern
a
ti
o
n
a
l
Co
n
f
e
re
n
c
e
o
n
In
f
o
rm
a
ti
o
n
Tec
h
n
o
l
o
g
y
A
n
d
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
,
Yo
g
y
a
k
a
r
ta,
2
0
1
6
.
[8
]
J.M
.
G
.
a
.
F
.
B.
Z
h
e
Ch
e
n
,
“
A
Re
v
i
e
w
o
f
th
e
S
tate
o
f
th
e
A
rt
o
f
P
o
we
r
El
e
c
tro
n
ics
,
”
p
.
1
7
,
2
0
0
9
.
[9
]
R.
M
.
S
o
re
n
se
n
,
Ba
sic
Co
a
sta
l
En
g
in
e
e
rin
g
,
P
e
n
n
sy
lv
a
n
ia:
S
p
rin
g
e
r
S
c
ien
c
e
+
Bu
sin
e
ss
M
e
d
ia,
I
n
c
.
,
2
0
0
6
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
MPP
T u
s
in
g
P
S
O
A
lg
o
r
ith
m
f
o
r
Win
d
-
Tid
a
l W
a
ve
E
n
erg
y
Ha
r
ve
s
tin
g
S
ystem
…
(
Fra
n
sisc
o
Da
n
a
n
g
W
ij
a
y
a
)
666
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
Fra
n
sisc
o
Da
n
a
n
g
W
ij
a
y
a
w
a
s
b
o
r
n
o
n
F
e
b
r
u
a
ry
1
9
7
4
in
S
lem
a
n
,
In
d
o
n
e
sia
.
He
re
c
e
iv
e
d
h
is
Ba
c
h
e
lo
r
a
n
d
M
a
ste
r
d
e
g
re
e
,
b
o
t
h
f
ro
m
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
M
a
jo
r,
G
a
d
jah
M
a
d
a
Un
iv
e
rsit
y
in
1
9
9
7
a
n
d
2
0
0
1
re
sp
e
c
ti
v
e
ly
.
He
th
e
n
g
o
t
h
is
Do
c
to
r
o
f
E
n
g
in
e
e
rin
g
in
T
o
k
y
o
In
stit
u
te
o
f
T
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
).
K
u
k
u
h
D
a
u
d
Prib
a
d
i
wa
s
b
o
rn
o
n
F
e
b
ru
a
ry
1
9
9
5
i
n
Be
k
a
si,
In
d
o
n
e
sia
.
He
re
c
e
iv
e
d
h
is
Ba
c
h
e
lo
r
d
e
g
re
e
o
f
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
f
ro
m
D
e
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
rm
a
ti
o
n
T
e
c
h
n
o
l
o
g
y
,
Ga
d
jah
M
a
d
a
Un
iv
e
rsity
in
2
0
1
6
.
H
is
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
m
a
x
i
m
u
m
p
o
w
e
r
p
o
in
t
trac
k
in
g
,
o
p
t
im
iza
ti
o
n
,
p
o
w
e
r
s
y
ste
m
s,
a
n
d
re
n
e
w
a
b
le
e
n
e
rg
y
.
He
is
c
u
rre
n
tl
y
c
o
n
d
u
c
ti
n
g
re
se
a
rc
h
a
b
o
u
t
o
p
ti
m
iza
ti
o
n
o
f
h
y
b
rid
w
i
n
d
-
o
c
e
a
n
e
n
e
rg
y
h
a
rv
e
stin
g
s
y
ste
m.
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
l
y
,
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
s
te
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
.
Evaluation Warning : The document was created with Spire.PDF for Python.