In
te
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o
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Elec
tron
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PED
S
)
V
o
l.
10, N
o.
1, Mar
ch 20
19,
p
p.
479~
4
8
5
IS
S
N
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94,
D
O
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1
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48
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479
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tp:
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Dep
a
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ngineeri
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Coll
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a
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ABSTRACT
A
r
tic
le hist
o
r
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:
Re
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i
v
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d
Ju
l
2
0,
201
8
Re
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c
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pte
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oas
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egi
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A
b
und
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a
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d
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o
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near
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ma
nent m
agne
t
gene
ra
tor
(lpmg)
Wa
ve ge
n
era
t
i
on
Co
pyri
gh
t © 2
019 In
stit
u
t
e
of Advanced
En
gi
neeri
n
g
an
d
S
c
ien
ce.
All
rights
res
e
rv
ed.
Corres
pon
d
i
n
g
Au
th
or:
Ma
no
har
B S
,
D
e
pa
rtme
nt
o
f
El
e
c
t
rica
l
and
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ect
ro
ni
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s
Eng
in
e
e
ring
,
UBDT Co
lle
ge
of Eng
i
neer
in
g,
Da
v
a
n
age
r
e,
India.
Em
ail:
ma
noha
rbs@
ym
ail
.
co
m
1.
I
N
TR
OD
U
C
TI
O
N
On
a
n
av
era
g
e
a
bou
t
23
%
o
f
t
h
e
e
n
e
rgy
p
r
odu
c
e
d
i
n
I
n
d
i
a
h
a
s
l
o
s
t
in
t
he
t
rans
m
i
ssi
on
a
nd
di
stri
b
u
t
i
on
l
os
ses
[1].
T
hu
s,
t
o
pre
v
en
t
suc
h
h
ig
h
l
y
pro
n
o
u
n
ce
d
lo
sse
s
a
di
st
ri
but
e
d
g
en
era
t
io
n
of
p
o
w
e
r
h
a
s
to
b
e
c
o
nsi
d
er
ed.
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h
i
gher
po
te
nt
ia
l
o
f
t
i
d
al
p
ow
er
i
mpr
ove
t
he
c
ha
nce
s
o
f
usa
g
e
o
f
w
ave
ge
ne
rat
o
rs
i
n
t
h
e
c
o
ast
a
l
regi
o
n
s
t
h
r
ou
g
hou
t
coa
s
t
a
l
In
di
a
.
T
he
S
ea
W
av
e
En
e
r
gy
C
on
ve
rs
i
o
n
s
y
st
e
m
(
S
W
E
C
S
)
w
oul
d
be
com
e
an
i
mp
orta
nt
s
ource
r
em
ote
p
o
w
e
r
gene
rat
i
o
n
a
lte
rna
t
i
v
e
al
on
g
w
ith
t
he
P
ho
t
ovo
lta
ic
A
rr
ay
(
P
V
a
rra
y)
b
ase
d
implem
e
n
ta
t
i
o
n
.
The
r
e
sea
r
c
h
o
n
the
SWE
C
S
is
i
n
fu
l
l
t
h
r
ot
tle
i
n
a
co
u
p
le
o
f
de
ca
de
s
[2].
D
iffere
n
t
t
ype
s
o
f
the
S
W
ECS
te
chn
i
que
s
are
di
scusse
d
i
n
d
et
a
i
l [3].
T
urbi
ne ty
p
e,
B
ou
y
ty
pe
a
n
d
th
e
Arch
i
m
ed
e
s
W
a
v
e
Swi
n
g
(A
WS
)
types
of
S
WECS
t
e
c
hn
i
que
s
ar
e
disc
usse
d
[3]
.
A
m
ong
al
l
t
h
e
SWEC
S
tech
ni
q
u
es
A
WS
i
s
mor
e
adva
n
t
a
g
e
o
us w
hic
h
i
s
t
o
ta
ll
y su
bm
erge
d i
n
s
i
de
the sea a
nd
t
h
e
l
i
near
m
oti
on
o
f
the c
o
nver
s
io
n syste
m
w
o
u
ld
be
u
se
ful
in
g
e
n
era
tin
g
the
pow
er
b
y
m
eans
o
f
M
a
x
w
e
l
l
t
he
ory
[4
]
.
F
e
w
liter
a
t
u
res
[5-
1
0]
a
re
f
ew
m
ajor
con
t
ri
b
u
tor
s
i
n
the
de
ve
lo
pme
n
t
of
t
he
l
i
n
ea
r
gener
a
tors
u
s
i
n
g
AW
S
t
e
chn
i
qu
e
.
M
any
pro
b
l
e
ms
r
e
g
ard
i
ng
t
he
line
a
r
ge
nera
t
o
r
s
h
as
b
e
e
n
so
l
v
ed
i
n
[6]
w
h
i
c
h
is
n
o
tic
ed
i
n
th
e
pr
ev
i
o
u
s
litera
tures.
T
h
e
p
e
r
m
a
nen
t
m
agn
e
t
line
a
r
ge
nera
to
r
s
a
re
c
lassifie
d
a
s
Tu
bu
lar
a
nd
F
l
a
t
[
11].
The
ge
nera
t
o
r
s
a
re
t
e
r
m
e
d
as
L
inea
r
P
e
rm
ane
n
t
Ma
gne
t G
e
ner
a
tors (LP
MG
).
T
h
i
s
p
a
p
e
r
a
t
t
e
m
p
t
s
t
o
c
a
r
r
y
o
u
t
a
p
e
r
f
o
r
m
a
n
c
e
a
n
a
l
y
s
i
s
o
f
t
h
e
differe
n
t
c
on
t
r
o
l
m
et
ho
ds
l
i
k
e
t
h
e
P
I
c
o
nt
roll
e
r
a
nd
ANFI
S
c
o
n
t
r
oll
e
r
on
t
h
e
H
ybri
d
i
s
a
t
io
n
of
t
he
L
PM
G
w
i
th
t
he
P
V
a
rra
y.
T
he
p
ara
m
e
t
ers
l
i
ke
the
p
o
w
e
r
de
li
ve
ry
a
re
o
p
tim
i
z
ed
by
t
h
e
us
e
of
t
he
A
N
F
IS
i
mple
m
e
n
t
a
tio
n.
H
ybri
d
s
o
l
ar
a
nd
LP
MG
w
a
v
e
gene
ra
tor
a
r
e
ma
de
a
s
h
ybr
id
w
ith
c
on
tr
ol
o
f
m
a
xim
u
m
pow
er
t
ra
n
sfer
,
super
ca
paci
t
o
rs
a
nd
A
N
F
IS
con
t
ro
l
l
er
a
re used.
Th
is
p
a
p
e
r
w
hich
i
s
the
imp
r
ove
me
n
t
o
f
the
prev
i
ous
w
orks
[
1]-
[
3]
i
s
organ
i
ze
d
as
f
o
l
low
s
,
the
S
e
ctio
n
–II
ha
s
the
de
scr
i
p
t
ion
a
b
ou
t
t
h
e
M
a
them
at
i
c
a
l
M
o
d
e
l
in
g
o
f
t
h
e
sola
r
a
nd
t
h
e
LP
MG
,
S
e
c
t
i
o
n
–I
II
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN: 2088-
8694
I
nt
J
P
ow
Elec
& Dr
i
S
y
st, Vol. 10,
N
o.
1, Mar
c
h 2
0
1
9
:
47
9 –
48
5
48
0
d
i
s
c
u
sses
a
bout
t
h
e
ANFIS
c
o
n
t
r
o
l
l
e
r
a
n
d
hy
b
r
i
d
i
s
at
ion
o
f
b
oth
P
V
a
r
r
a
y
a
n
d
L
P
M
G
,
S
e
c
t
i
o
n
-
I
V
e
x
a
m
i
n
e
s
the
r
e
su
l
t
s
a
n
d
disc
uss
i
on
w
i
t
h
in
fe
renc
e
of
t
he
d
i
f
fere
nt
m
e
t
h
o
d
s,
a
nd
it
is
f
o
llo
w
e
d
b
y
t
he
c
onc
l
u
s
i
o
n
and
references.
2.
MATHE
M
A
T
ICAL MODELI
NG
O
F
PV
A
R
R
A
Y
AND
LPMG M
O
D
EL
I
n
o
r
d
er
t
o
d
e
v
e
l
o
p
the
simu
l
a
ti
o
n
o
f
the
h
y
b
ri
di
se
d
mo
del
of
b
o
t
h
t
h
e
P
V
a
rra
y
and
t
h
e
LP
MG
t
h
e
ma
them
at
i
c
al
e
qu
i
v
ale
n
t
o
f
b
oth
the
mo
de
l
is
d
eve
l
o
p
e
d
.
I
n
t
h
i
s
p
a
p
e
r
,
s
i
n
g
l
e
d
i
o
d
e
m
o
d
e
l
o
f
t
h
e
P
V
a
r
r
a
y
i
s
u
s
e
d
a
n
d
t
h
a
t
a
r
e
c
o
n
n
e
c
t
e
d
w
i
t
h
s
e
r
i
e
s
a
n
d
p
a
r
a
l
l
e
l
t
o
g
e
t
t
h
e
r
equ
i
red
vo
l
t
a
g
e
a
nd
power.
Th
e
si
ngle
d
i
o
d
e
mode
l i
s
as
sho
w
n
in t
he
F
igur
e
1.
F
i
gure
1.
S
ing
l
e
dio
d
e
mode
l
-P
V
ce
ll
The
si
n
g
le
d
i
o
de
m
od
e
l
w
oul
d
ge
ne
rate
t
he
v
o
l
tage
a
nd
th
e
c
u
rre
nt
a
t
t
h
e
ou
tp
u
t
b
y
c
o
n
s
i
d
er
i
n
g
t
h
e
c
u
rre
n
t
sou
r
c
e
i
n
th
e
i
npu
t
w
i
th
t
h
e
d
i
o
d
e
i
n
p
a
ra
ll
el
t
o
t
h
e
c
urre
nt
s
ourc
e
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e
n
e
r
ati
ng
t
h
e
e
q
u
i
vale
n
t
vo
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ge
a
n
d
c
u
r
rent
i
f
a
va
ria
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le
i
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dia
t
i
o
n
is
s
u
p
p
l
ied
t
o
t
h
e
PV
c
el
l
,
w
hi
ch
w
ou
l
d
g
enera
t
e
t
h
e
cu
rren
t
t
h
a
t
is
p
rop
o
rt
i
ona
l
to
c
u
r
ren
t
s
up
pl
y.
T
he
i
m
p
o
r
tan
t
p
ort
i
on
t
h
at
n
eed
s
t
o
b
e
c
a
l
c
u
l
at
ed
i
n
t
h
e
PV
m
o
d
e
l
i
s
t
he
curr
ent t
h
ro
ug
h the
d
i
ode s
in
ce
other
p
ara
m
e
t
ers c
a
n
be c
al
cula
te
d
by a
p
p
l
yi
n
g
K
V
L
a
nd
K
C
L.
The
d
i
o
d
e
curre
nt i
s der
i
ve
d a
s
∗
(
1
)
ℎ
,
ℎ
ℎ
Th
e
c
i
r
cu
i
t
out
put
g
i
v
es
v
o
l
tag
e
a
nd
c
u
r
re
nt
o
f
a
si
ngl
e
ce
l
l
p
hot
ovo
l
t
a
i
c
.
Th
e
an
al
y
s
i
s
o
f
ge
n
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ra
to
r
perform
ance
u
nder
co
ns
tan
t
s
peed
ope
ra
ti
o
n
i
s
d
o
n
e
us
i
n
g
gener
a
tor
eq
ui
vale
n
t
c
irc
u
it
show
n
i
n
F
ig
ure
2.
I
f
t
h
e
sp
e
e
d
i
s
c
on
st
a
n
t
,
p
o
w
er
g
e
n
erat
e
d
d
ep
en
d
s
o
n
t
h
e
l
o
a
d
i
mp
e
da
nce.
I
t
is
a
ss
ume
d
t
h
e
l
oa
d
impe
da
nce
t
o
be
a
pur
e r
e
sistive
RL
[
1
1
].
In
this
case
out
p
u
t
p
o
w
e
r
is
s
ho
w
n
below,
F
i
gur
e 2.
S
teady
sta
t
e
e
qui
val
e
nt
e
le
c
t
r
i
c
a
l
L
P
M
G
m
ode
l
3
∗
∣
∣
(
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
Int J
P
o
w
El
e
c
&
D
ri S
yst
I
S
S
N
:
2088-
86
94
ANFI
S b
a
se
d h
y
brid
so
l
a
r a
n
d
wave
ge
ner
a
tor
for
distr
i
bu
t
i
o
n
ge
ne
r
a
t
i
on
to g
r
i
d
c
o
nnec
t
io
n (M
a
n
o
h
a
r
B
S)
48
1
The
arm
a
ture currents I
a
ca
n
be
deter
m
ine
d
f
rom
vol
ta
ge
e
q
u
a
t
i
o
n
:
2
(
3
)
ℎ
∶
ℎ
ℎ
2
(
4
)
a
v
e
r
a
ge
s
p
ee
d
L
s
–
is t
he fie
ld
ind
uc
tanc
e
R
a
–
arm
a
ture
resista
nce
R
l
–
l
oa
d re
si
s
t
anc
e
(
R
L
)
Th
e cu
rre
n
t
i
s
(
5)
Her
e
L
a
i
s
a
rm
at
u
r
e
in
du
ct
an
c
e
The
em
f E
ph
,
whic
h is i
n
duce
d
in the
arm
a
tur
e
w
ind
i
n
g
is g
i
ven b
y
:
√
(
6
)
Whe
r
e
the
am
pli
t
ude
o
f
the
vo
lta
ge
i
s
.
.
(
7
)
ℎ
ℎ
ℎ
,
ℎ
ℎ
ℎ
.
ℎ
(
8
)
wher
e u
m
i
s
the
spee
d a
m
pl
itu
de
.
The
a
bove
e
qu
a
tio
ns a
re
t
ake
as S
imuli
nk m
ode
l a
n
d
use
d
w
i
t
h a
vol
ta
ge
s
ource
an
d
buc
k c
o
n
v
erter
for
tes
tin
g
i
n
s
im
ulat
i
o
n
s
.
3.
IMPLE
M
EN
TATION
P
RO
CEDURE A
ND
CONTROLLE
R
D
ET
AILS
The
b
l
oc
k
dia
g
ram in F
igure
3 re
prese
n
ts
t
h
e
com
ple
t
e
t
e
st
b
ed
o
f
t
he
g
ri
d
-
con
n
ec
te
d sys
t
em
.
The
so
l
a
r a
nd w
a
ve ge
n
era
t
or
a
re
t
he
in
p
u
ts
g
ive
n
to the
tw
o bo
o
s
t
co
nver
t
ers a
nd a
buc
k
co
nv
erte
r r
e
specti
v
e
l
y.
The
so
la
rg
iv
e
s
l
esser
ou
t
put
v
olta
ge
a
n
d
h
i
ghe
r ou
tp
u
t
c
urrent.
S
o,
boos
t c
onve
rter
i
s
use
d
to
ach
ie
ve
re
q
u
i
r
e
d
vo
lta
ge a
t
D
C
-lin
k.
Wa
v
e
ge
n
e
ra
tor pr
o
d
uc
e
s
hi
gher
ou
t
p
u
t
volta
ge
a
nd
lo
w
e
r
curr
ent so buc
k co
nve
r
t
er
i
s
cho
s
en
w
i
t
h
v
o
l
ta
ge
a
nd
curr
ent c
o
ntr
o
l.
F
rom D
C
li
nk t
o
con
ve
r
t
e
r p
r
od
uc
es
t
h
e
DC t
o
A
C
c
o
nv
e
r
s
i
on,
w
h
ic
h is c
o
nne
cte
d
t
o t
h
e
gri
d
v
ia tra
ns
form
er. The
ra
t
i
n
g
of t
he
d
ia
gram
i
s
gi
ve
n i
n
Ta
b
le
1.
Tab
l
e
1.
A
NF
IS
rules
Erro
r
\
c
h
a
n
g
e
i
n err
o
r
H
i
gh
Me
diu
m
L
ow
H
i
gh
Me
diu
m
L
o
w
H
i
gh
M
e
diu
m
M
e
d
iu
m
L
ow
H
igh
Low
Me
diu
m
L
o
w
H
i
gh
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SSN: 2088-
8694
I
nt
J
P
ow
Elec
& Dr
i
S
y
st, Vol. 10,
N
o.
1, Mar
c
h 2
0
1
9
:
47
9 –
48
5
48
2
3.1.
A
N
F
IS
C
on
tr
olle
r
Th
e
logi
c
c
ontro
ll
er
i
s
use
d
f
o
r
m
ak
i
n
g
t
h
e
d
e
ci
sion
o
f
duty
cy
c
l
e
to
o
pt
i
m
ize
the
p
o
w
e
r
.
T
he
o
u
t
pu
t
of
c
o
n
v
e
n
ti
ona
l
Inc
r
em
ental
(
I
C
)
c
ont
r
o
lle
r
is
c
alcu
la
ti
ve
a
s
i
t
is
e
qu
a
t
ion
-
ba
sed
o
u
t
pu
t.
T
he
f
uzz
y
l
o
g
i
c
c
a
n
be
p
ro
gram
m
e
d
t
o
a
ch
ie
ve
b
et
ter
resu
lts
c
om
pare
d
to
I
C
c
o
n
t
r
o
l
l
e
r
.
In
F
i
g
ur
e
3
IC
c
on
tro
l
l
e
r,
w
hic
h
i
s
replaced
w
ith
ANF
IS
c
ontroll
ers.
H
e
re
d
e
-
fuz
z
ifica
t
i
on
m
e
t
h
o
d
use
d
i
s
w
e
ig
hte
d
a
vera
ge
m
etho
d
an
d
s
u
g
e
n
o
t
ype
f
u
z
z
y
i
nfere
n
c
e
system.
It
i
s
used
t
o
f
i
x
the
o
u
t
p
u
t
p
r
o
b
l
e
m
s
i
n
I
C
c
o
n
t
r
o
l
l
e
r
.
T
h
e
r
u
l
e
s
t
a
b
l
e
i
s
s
h
o
w
n
b
e
l
o
w
.
A
3
X
3
r
u
l
e
tab
l
e is
u
se
d he
r
e
.
But
here
t
h
e
s
uge
no o
u
t
p
u
t
i
s
a
c
ons
t
a
n
t
f
i
xe
d
co
ns
t
a
n
t
v
aria
b
l
e
to a
d
j
us
t the
d
u
t
y
c
y
c
l
e
.
F
i
gure
3.
The
c
om
ple
t
e b
l
ock
di
a
g
ram
of the
t
e
s
t
bed
The
fuz
z
y
i
nfer
ence
s
ys
t
e
m
use
d
f
or
A
N
F
IS
a
lso
w
h
er
e
t
h
e
r
u
le
s
a
r
e
a
d
j
u
st
ed
a
ccord
in
g
to
t
h
e
b
a
ck
p
r
op
ag
a
tio
n
met
h
od
o
f
n
e
u
r
a
l
n
et
work
.
Thi
s
n
e
u
ro
n
t
r
a
i
ns
t
h
e
fuzz
y
infere
nc
e
sys
t
em
t
o
i
m
prove
the p
o
w
e
r.
4.
RESULT
S
A
N
D
ANALY
S
IS
4.1.
IC
C
ontroller
R
e
su
lts
The
so
lar
pow
er
g
ener
ati
o
n and
w
a
ve
g
e
n
e
r
ator
a
re
conne
c
t
ed
a
s
ca
sc
ad
ed
an
d
hyb
rid
t
h
e
n
i
t
i
s
con
n
ec
ted
to g
r
i
d.
The
pow
er
gene
r
ate
d
by r
i
ve
r a
n
d solar
is
c
o
nn
e
c
t
e
d
to
g
ri
d
f
o
r s
u
ppl
yi
ng
po
w
e
r
. Th
e
sup
e
r
capa
c
i
t
or
s ar
e
use
d
for
stab
i
liz
in
g
t
h
e
D
C
sup
p
l
y.
F
i
gure
1
s
h
ow
s
t
h
e
s
o
l
a
r
P
V
cel
l
mo
de
l
.
F
ig
ure
2
show
s
t
h
e
LP
MG
m
ode
l
.
F
ig
ure
3
sh
ow
s
the
c
o
mp
l
e
t
e
p
ro
po
sed
bl
o
c
k
di
ag
ra
m.
U
si
ng
I
C
c
ont
rol
l
e
r,
F
i
g
u
r
e
4
show
s
the
s
o
lar
i
r
radi
anc
e
,
F
i
gure
5
show
s
the
in
p
u
t
so
lar
pow
e
r
i
n
w
a
t
t
. F
i
gure 6
de
pi
c
t
s
V
o
lta
ge in
G
r
id
in
V
.
F
ig
ure
7
sh
ow
s
t
h
e Cur
r
ent
i
n
G
ri
d
in
A
.
F
i
gure
8
s
how
s
t
h
e
P
o
w
e
r
a
t
g
rid.
F
i
g
ure
9
V
o
l
t
a
g
e of
w
a
v
e
ge
ne
rat
o
r
(re
ctifie
d).
F
i
gur
e
10
s
how
s
C
u
rre
nt
o
f
w
a
ve
g
e
n
e
r
at
o
r
(
rec
t
i
f
i
e
d).
Fig
u
re
1
1
s
how
s
t
h
e
Te
rm
i
n
a
l
V
o
l
t
a
g
e
i
n
V
,
Indu
c
e
d
C
u
rre
nt
i
n
A
&
P
h
ase
curr
ent
i
n
A
o
f
w
a
ve
g
e
n
e
r
at
o
r
.
F
i
gure
12
sh
ow
s
t
h
e
Wa
ve
G
e
n
era
tor
P
o
w
e
r
in
w
a
tta
ge
.
F
i
gure
13
s
ho
w
s
t
he
sup
e
r
ca
paci
t
o
r
curr
ent,
v
o
lta
ge
a
n
d
s
ta
t
e
o
f
c
h
arge
(
SOC).
I
t
c
a
n
be
s
e
e
n
t
h
a
t
f
as
t-d
ynam
i
c
c
h
ar
g
i
ng
a
n
d
di
sc
harg
i
n
g
is
h
a
p
p
e
nin
g
d
ue
t
o
t
h
e
ri
p
p
le
s
in
w
a
v
e
ge
ner
a
t
i
o
n
.
F
ig
ure
8
sh
ow
s
t
h
e
po
w
e
r
del
i
vere
d
to
t
he
gri
d
,
w
h
i
c
h c
a
n be
incr
ease
d
by us
i
n
g A
N
F
I
S
contro
llers.
Evaluation Warning : The document was created with Spire.PDF for Python.
Int J
P
o
w
El
e
c
&
D
ri S
yst
I
S
S
N
:
2088-
86
94
ANFI
S b
a
se
d h
y
brid
so
l
a
r a
n
d
wave
ge
ner
a
tor
for
distr
i
bu
t
i
o
n
ge
ne
r
a
t
i
on
to g
r
i
d
c
o
nnec
t
io
n (M
a
n
o
h
a
r
B
S)
48
3
F
i
gure
4. S
olar
i
r
r
adianc
e
F
i
gure
5.
S
olar
pow
er
in w
a
t
t
F
i
gure
6.
V
ol
ta
ge
in gr
i
d
i
n
V
F
i
gur
e 7.
Curre
nt i
n gri
d
i
n
S
F
i
gure
8.
P
ow
er a
t
grid
F
i
gur
e 9.
V
olta
ge
of
w
a
ve
ge
n
e
r
ator
(re
ct
i
f
i
e
d
)
F
i
gure
1
0
.
Current
o
f w
a
ve
g
e
n
era
t
o
r
(r
ectified)
F
i
gur
e 1
1
.
Te
rm
i
n
a
l
v
o
lta
ge i
n v,
ind
uce
d
cu
r
rent in
a
, pha
se c
urre
nt
in a of
wave generator
(
PI)
0
0.
5
1
1.
5
2
2.
5
3
20
0
30
0
40
0
50
0
60
0
70
0
80
0
90
0
10
00
Ti
m
e
i
n
S
e
c
I
r
r
a
di
an
c
e
i
n
W
/
m
2
I
r
r
a
di
a
n
c
e
i
n
W
/
m
^
2
I
r
r
a
di
a
n
c
e
i
n
W
/
m
2
0
0.
5
1
1.
5
2
2.
5
3
0
0.
5
1
1.
5
2
2.
5
3
x 1
0
4
Ti
m
e
i
n
S
e
c
S
o
l
a
r
P
o
w
e
r
i
n
w
a
tta
g
e
S
o
l
a
r
P
o
w
e
r
i
n
w
a
tts
S
o
l
a
r
P
o
w
e
r
i
n
w
at
t
age
1.
2
1
5
1.
22
1.
22
5
1.
23
1.
23
5
1.
24
1
.
245
1.
2
5
1.
25
5
1.
2
6
-2
-1
.
5
-1
-0
.
5
0
0.
5
1
1.
5
2
x
1
0
4
Ti
m
e
i
n
S
e
c
Gri
d
S
i
de
V
o
l
t
age
i
n
V
Va
(
V
)
G
r
id
S
id
e
V
o
l
t
a
g
e
i
n
V
0
0.
5
1
1.
5
2
2.
5
3
-1
.
5
-1
-0
.
5
0
0.
5
1
1.
5
Ti
m
e
i
n
S
e
c
Gr
i
d
S
i
de
C
u
r
r
ent
i
n
A
Ia
(
A
)
G
r
i
d
S
i
de
C
u
r
r
ent
i
n
A
0
0.
5
1
1.
5
2
2.
5
3
-0
.
5
0
0.
5
1
1.
5
2
2.
5
3
x
1
0
4
X
:
0
.
4372
Y
:
2
.
481e
+
0
4
Ti
m
e
i
n
S
e
c
G
r
id
S
id
e
P
o
w
e
r
in
W
Po
w
e
r
i
n
w
a
t
t
s
G
r
id
S
id
e
P
O
w
e
r
in
W
0
0.
5
1
1.
5
2
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5
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I
SSN: 2088-
8694
I
nt
J
P
ow
Elec
& Dr
i
S
y
st, Vol. 10,
N
o.
1, Mar
c
h 2
0
1
9
:
47
9 –
48
5
48
4
F
i
g
u
r
e
12.
Wave
gener
a
tor p
o
w
e
r in
w
atta
g
e
F
igure
13.
S
uper
cap
a
c
it
or (
I, V
a
nd %
of
S
OC)
4.2.
AN
FIS
Co
ntr
o
ll
er
A
fter ad
d
i
n
g
t
h
e A
N
F
I
S
contr
o
l
l
e
r
the
F
i
g
ur
es
o
f 4-6 an
d 9
-
13
r
e
m
a
ins
s
a
m
e
as
I
C
contr
o
l
l
er
b
ut t
he
pow
er
s
e
n
t
to
t
he
g
r
i
d
Com
p
a
r
in
g
F
i
g
u
re
8
a
nd
F
ig
ure
1
5
,
w
h
ic
h
is
i
ncre
ased
u
s
i
n
g
A
N
F
IS
c
ontr
o
l
l
er
s.
T
he
power
g
en
er
at
io
n
24
.81
Kw
i
s
se
n
t
t
o
g
r
i
d
w
it
h
IC
c
ont
ro
ll
e
r
.
Th
at
i
s
i
n
creas
ed
t
o
25
.2
8Kw
i
n
A
N
F
I
S
c
o
n
t
r
o
ll
er
.
F
i
gure
1
4
.
V
o
l
t
age
in gr
i
d
in
v
F
i
gur
e 1
5
.
Curre
nt
i
n grid
i
n
The
0.
41
K
w
i
s
extra
c
t
ed
m
o
r
e
from
t
he
s
ol
ar
due
t
o
A
N
F
I
S
MP
P
T
c
ontr
o
l
l
er.
B
y
s
e
e
i
n
g
F
i
g
u
r
e
1
4
.
a
n
d
co
mp
a
r
ed
w
i
t
h
Fi
gu
re
7
i
t
can
b
e
se
e
i
n
g
th
at
c
u
rren
t
p
a
ssed
t
ow
a
r
d
s
t
he
g
ri
d
is
i
n
c
rea
s
ed.
D
u
e
to
t
he
cha
nge
i
n w
a
ves a
nd so
lar
irra
di
a
n
ce
the
p
o
w
e
r
c
hange
i
s
cre
a
te
d.
Ta
b
l
e
2.
S
pe
cifica
ti
on
s
Sola
r d
e
t
a
il
s
Pa
r
a
met
e
rs
M
odule
ty
p
e
S
unP
owe
r
-S
PR
-305-
W
H
T
Nu
m
b
e
r
o
f c
e
lls
/
m
odule
96
Se
ri
e
s
c
onn
e
c
t
e
d
m
odul
e
/
string
5
num
b
e
r
o
f
p
a
r
a
l
l
e
l
strings
1
7
V
o
c
(V)
64.
2
Isc
(A)
5.96
Vm
p (V
)
54.
7
Im
p (A)
5.58
w
a
v
e
g
e
n
er
at
o
r
d
et
ai
l
s
Vol
t
a
g
e
in V
500
C
u
rre
nt
i
n
A
8
Pow
e
r
in Wa
tts
2000
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1.
5
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t
J
P
o
w
Elec
&
D
r
i
S
y
st
I
S
S
N
:
2088-
86
94
ANFI
S b
a
se
d
h
y
br
id so
l
a
r
a
n
d
w
a
ve
gene
ra
t
o
r f
o
r di
stri
bu
t
i
o
n
ge
ner
a
t
i
on
to g
r
i
d
co
nne
c
t
ion
(
M
an
o
h
a
r
B
S)
48
5
5.
CONCLUSION
The
usa
g
e
o
f
i
nte
l
lige
n
t
te
ch
ni
que
i
n
hy
br
i
d
ope
r
a
ti
o
n
o
f
so
lar
a
ndw
ave
gener
a
tor
c
onn
e
c
ted
to
t
h
e
gr
id
i
s
done
w
it
h
su
per
ca
paci
t
o
r
s
f
or
g
oo
d
pow
e
r
t
r
a
cki
n
g
o
f
s
o
l
a
r
a
nd
dy
nam
i
c
pe
r
f
or
ma
nce
of
w
a
v
e
ge
ner
a
t
o
r
.
W
hi
c
h
c
om
bine
s
to
p
r
o
v
i
de
i
m
p
r
ove
me
n
t
i
n
the
o
v
e
r
al
l
p
ow
er
a
bs
or
p
t
i
o
n.
T
he
s
im
ul
at
ion
r
e
su
l
t
s
pr
ove
t
he
s
a
m
e
tha
t
0
.
4
1K
W
pow
er
i
s
impr
ove
d
b
y
u
si
n
g
A
N
F
I
S
c
on
tr
o
l
l
e
r
a
nd
dy
nam
i
c
per
f
or
m
a
nc
e
a
l
s
o
g
ood
co
m
p
a
ra
ti
v
e
ly
.
S
o
,
A
N
F
IS
g
i
v
es g
ood p
e
rf
o
r
ma
n
c
e
i
n
h
yb
rid
p
ower
gene
r
at
io
ns.
REFERE
NC
E
S
[1]
h
t
t
p
://w
ww.cea.ni
c.in/rep
orts/mont
hl
y
/
execut
i
v
e
su
mmary
/
2
0
1
6
/
e
x
e
_s
ummary-09.pdf
[2]
R.
S
ab
zehgar
a
n
d
M
.
M
oa
l
l
e
m
,
“
A
r
ev
iew
of
o
cean
w
a
v
e
en
e
r
gy
c
on
v
e
r
s
io
n
sy
ste
m
s”
i
n
Electr
i
cal Po
wer
&
E
n
er
gy Confer
e
n
ce
(
EPEC
),
I
E
E
E
:
p1-6
,
20
09
.
[3]
Ro
drig
ue,
L.,
“W
av
e po
wer co
n
v
ersio
n
syste
m
s
f
or ele
tri
cal en
e
r
gy
pro
du
cti
on,
”
RE
&
PQJ
v
o
l.1 no
.6,
pp
.60
1
-6
0
7
,
m
a
rch
20
08.
[4]
P
o
li
nder,
H
.
,
et
.a
l
.
,
“Li
n
ear
P
M
Generat
o
r
sys
t
e
m
f
or
w
ave
ener
gy
c
o
n
v
e
rs
io
n
in
t
h
e
A
W
S
,
”
IEEE
Tr
an
sactio
ns
o
n
E
n
er
gy Con
vers
i
o
n
,
.
vo
l
.
19,
(
n
o
.
3,
)
:
p.
pp
. 5
8
3
-
589,
S
e
pt.
2
0
0
4
.
[5]
S
a
d
a
Co
sta,
J
.,
et a
l
.,
“
Con
t
ro
l
Appl
i
c
at
ion
s
,”
C
C
A
2003.
P
r
oceedi
ngs
of 2003
I
EEE Confer
ence
on
M
o
deling of
a
n
o
cean
waves
po
wer d
evice AW
S, T
u
r
key 1: p
.
6
1
8
-
623
,
20
03
.
[6]
P
o
li
nder,
H
.
,
et al
.,
“
Co
nv
entio
n
a
l
an
d
TF
PM
l
in
ear
g
en
erato
r
s
f
o
r
d
i
rectdri
v
e
wav
e
en
ergy
co
n
v
ers
i
o
n
,”
IE
E
E
T
r
an
sactio
ns on
En
erg
y
Con
version
,
p
.
2
60-2
6
7
, 2
00
5.
[7]
V
e
rmaak
,
R.
K.
a
nd
M
.
J
.,
“
Design
o
f
a
nov
el
a
ir-co
r
e
d
p
erm
a
nent
m
a
g
n
et
l
i
n
ear
g
en
erator
f
or
w
ave
en
erg
y
co
nv
ersio
n
”.
El
e
c
tri
c
a
l
M
a
chi
n
es (
I
CEM)
,
20
10
XIX
In
t
e
rna
t
i
o
n
a
l
Con
f
er
ence,
It
a
l
y
o
n: p
. pp
.
1 -6
,
2
0
1
0
.
[8]
P
i
risi,
A.
,
G.
G
ruo
sso
,
and
R.
E.
Z
ich
,
“
N
o
v
e
l
mo
delin
g
des
i
gn
o
f
t
h
ree
ph
ase
t
u
b
u
l
a
r
p
e
rm
an
ent
m
a
gn
et
l
i
n
ear
generator
f
o
r
marine
a
pplicat
ions”,
i
n
P
o
wer Engin
eeri
ng, Ener
gy
a
n
d
Elect
ri
cal
Dri
ves, 2
0
0
9
. POWERE
NG '09
.
In
ter
natio
nal Conf
erence
onM
arch 2
0
0
9
,
Po
rtu
g
a
l
,
p
.
7
8
-
83
,
2
009.
[9]
Delli
Coll
i
,
V
.,
R.
D
i
S
t
e
f
a
n
o,
a
nd
M
.
Scarano,
“
A
tubular
g
ene
rator
f
o
r
mari
ne
e
ne
rgy
direct
d
rive
a
ppli
cation
s
.
E
l
ectri
c
M
ach
ines
a
nd
Dri
v
es
”, IE
EE
Inter
natio
na
l
Conferen
ce o
n
El
ectri
c
M
a
ch
in
e
s
a
n
d
D
r
i
ves,., U
S
A
o
n
p
.
1
473
-
14
78,
200
5.
[10]
Li,
Q
.-f
.
,
J.
X
i
a
o,
a
n
d
Z
.
Hu
ang,
“
Fl
at-ty
p
e
per
m
anen
t
m
a
gn
et
li
near
a
l
t
ern
a
to
r:
A
s
uitab
l
e
dev
i
ce
fo
r
a
f
r
ee
p
is
ton
l
i
n
ear
a
lt
ern
a
to
r”,
Jo
urn
a
l
o
f
Z
h
ejia
ng
Univer
si
ty - S
c
ien
ce A Co
ver.
M
a
rc
h
20
09
,
Vo
lu
me
1
0
,
Issu
e
3
,
pp
3
4
5–3
52
[11]
h
t
t
p
s
://
di
g
ital
c
o
m
m
ons.l
su.
e
du
/c
gi/v
ie
wc
o
n
te
nt
.c
gi?
a
rtic
le
=
2
2
7
7
&con
tex
t
=g
radsch
oo
l_
thes
es
BIOGRAPHI
E
S
OF
AUT
HORS
em
ail
ID
:
man
o
h
a
rbs
@
ym
ail.com
,
A
R
es
earch
S
ch
olar
f
ro
m
U
B
D
T
C
o
l
l
e
ge
O
f
En
g
i
n
eerin
g,
,
Dav
a
n
a
ger
e
,
Ind
i
a.
H
e
receiv
e
d
his
B
.
E
Degree
f
r
om
S
JM
IT,
Chitr
ad
urg
a
,
K
a
rnat
aka,
a
n
d
M
a
ster
D
egree
from
Go
u
s
hia
Coll
ege
o
f
E
ng
i
n
eeri
n
g
,
R
aman
agara,
K
a
rn
atak
a
.
H
e
i
s
currently
pu
rsui
ng
h
is
D
octo
ral
research
i
n
V
i
sv
esw
a
raya
T
echn
o
l
ogi
cal
U
n
ivers
i
t
y
,
Be
lg
avi
.
H
is
r
esearch
in
clud
es
i
n
th
e
fiel
d
of
Renew
a
bl
e
En
ergy
Re
s
o
u
r
ces.
e
m
a
il
I
D
:
ba
n
a
ka
ra
36
@g
ma
il.
c
o
m
,
w
o
r
king
a
s
a
n
P
ro
fe
s
s
o
r
a
t
U.B
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.
C
o
l
l
e
g
e
o
f
En
gin
eerin
g
,
D
a
v
anag
er
e,
K
arn
a
taka.
H
e
r
eceived
hi
s
B.E
D
e
g
r
ee
f
r
om
G
u
l
barga
U
n
i
v
ersity
Gu
lbarg
a
, K
a
rnatak
a and
M
a
st
er
D
eg
ree f
r
om Karnat
a
ka U
ni
versity
,
D
a
rawada,
K
a
rn
ataka in the
year
1
99
3
and
19
96
r
esp
ecti
v
ely.
H
e
receiv
e
d
his
P
h
.D.
i
n
t
he
a
rea
“
S
tu
dies
o
n
Trans
i
en
t
Eff
ects
of
P
W
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