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h
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s
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y
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n
d
re
li
a
b
il
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ty
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a
n
b
e
in
c
re
a
se
d
b
y
i
n
sta
ll
in
g
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u
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m
p
o
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d
e
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ice
s
(C
P
D)
e
q
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ip
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t
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h
a
s
a
d
y
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m
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v
o
lt
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g
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re
sto
re
r
(DV
R).
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th
is
re
se
a
rc
h
,
t
h
e
l
o
c
a
ti
o
n
,
n
u
m
b
e
r,
a
n
d
p
e
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rm
a
n
c
e
o
f
DV
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re
o
p
ti
m
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z
e
d
u
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g
a
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ial
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e
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l
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rk
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se
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n
t
h
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g
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ty
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ti
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k
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re
a
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lt
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se
s
2
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1
2
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2
4
,
2
7
,
a
n
d
3
5
a
re
th
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st
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lac
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s
to
in
sta
ll
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a
n
d
t
h
e
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ste
m
will
h
a
v
e
fiv
e
DV
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in
sta
ll
e
d
.
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th
re
e
-
p
h
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se
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o
rt
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ircu
it
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s
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se
d
to
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in
e
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e
d
e
r
sta
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it
y
wa
s
imp
a
c
ted
b
y
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p
e
rfo
rm
a
n
c
e
.
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e
n
,
t
h
e
v
o
l
tag
e
fa
ll
s
to
0
.
1
7
7
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p
.
u
.
d
u
ri
n
g
a
d
ist
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rb
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n
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e
a
n
d
t
h
e
n
rise
s to
0
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8
0
7
3
p
.
u
.
,
wh
ich
is wi
th
i
n
th
e
ty
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ica
l
v
o
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g
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li
m
it
o
f
>
0
.
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p
.
u
.
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m
e
a
n
s
th
a
t
DV
Rs
re
sto
re
d
t
h
e
v
o
lt
a
g
e
f
u
ll
y
t
o
t
h
e
a
c
c
e
p
tab
le t
h
re
sh
o
l
d
.
K
ey
w
o
r
d
s
:
Ar
tific
ial
n
eu
r
al
n
etwo
r
k
Dis
tr
ib
u
tio
n
n
etwo
r
k
Dy
n
am
ic
v
o
ltag
e
r
esto
r
er
Op
tim
izatio
n
Vo
ltag
e
s
tab
ilit
y
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Yu
lian
ta
Sire
g
ar
Dep
ar
tm
en
t o
f
E
lectr
ical
E
n
g
i
n
ee
r
in
g
,
Facu
lty
o
f
E
n
g
in
ee
r
in
g
,
Un
iv
er
s
itas
Su
m
ater
a
Utar
a
Me
d
an
,
I
n
d
o
n
esia
E
m
ail:
ju
lian
ta_
s
r
g
@
u
s
u
.
ac
.
id
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
d
em
an
d
f
o
r
elec
tr
ical
en
e
r
g
y
r
is
es
ev
er
y
y
ea
r
,
an
d
th
is
tr
en
d
will
co
n
tin
u
e
as
th
e
elec
tr
if
icatio
n
r
atio
r
is
es;
s
ales
o
f
elec
tr
ical
en
er
g
y
ar
e
ex
p
ec
ted
to
r
is
e
b
y
6
.
4
2
%
b
etwe
en
2
0
1
9
an
d
2
0
2
8
[
1
]
,
[
2
]
.
T
h
e
ev
o
lu
tio
n
o
f
elec
tr
ical
s
y
s
tem
s
h
as
b
ec
o
m
e
m
o
r
e
s
o
p
h
is
ticated
d
u
e
to
th
is
g
r
o
win
g
n
ee
d
f
o
r
elec
tr
ical
en
er
g
y
,
p
u
s
h
in
g
th
e
elec
tr
ical
p
o
wer
s
y
s
tem
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its
lim
itatio
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s
.
T
h
e
s
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ilit
y
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d
d
ep
e
n
d
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ilit
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o
f
t
h
e
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y
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tem
m
u
s
t
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e
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n
t
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e
t
h
e
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is
tr
ib
u
tio
n
s
y
s
tem
is
o
n
e
co
m
p
o
n
e
n
t
o
f
th
e
elec
tr
ic
p
o
wer
s
y
s
tem
th
at
is
im
p
ac
ted
b
y
th
is
g
r
o
wth
.
Vo
ltag
e
s
tab
ilit
y
an
d
p
o
wer
lo
s
s
es
ar
e
two
asp
ec
ts
o
f
t
h
e
d
i
s
tr
ib
u
tio
n
s
y
s
tem
'
s
d
ep
en
d
a
b
ilit
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th
at
m
u
s
t
b
e
co
n
s
id
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ed
.
Ab
o
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t
8
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to
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f
u
s
er
s
ar
e
im
p
ac
ted
b
y
v
o
ltag
e
d
is
r
u
p
tio
n
s
an
d
t
h
e
f
o
llo
win
g
l
o
s
s
es; in
m
a
n
y
i
n
s
tan
ce
s
o
f
elec
tr
ical
p
o
wer
s
tab
ilit
y
,
v
o
ltag
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q
u
ality
is
th
e
m
o
s
t c
o
m
m
o
n
ly
tr
ea
te
d
is
s
u
e
.
I
n
s
tallin
g
s
er
ies
ca
p
ac
it
o
r
s
,
p
ar
allel
r
ea
cto
r
s
,
an
d
p
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ca
p
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r
s
ca
n
lo
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lo
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s
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p
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v
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v
o
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s
tab
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b
y
a
b
s
o
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b
in
g
an
d
in
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r
ea
cti
v
e
p
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in
to
th
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s
y
s
tem
[
3
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-
[
6
]
.
Ho
we
v
er
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in
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r
ee
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f
eq
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m
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th
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ld
b
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f
aster
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an
d
th
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co
n
tr
o
l sy
s
tem
is
s
t
ill
m
an
u
al,
m
ak
in
g
it
less
p
r
o
f
itab
le
f
o
r
th
e
s
y
s
tem
.
C
u
s
to
m
p
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wer
d
ev
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(
C
PD
)
eq
u
ip
m
e
n
t
ca
n
b
e
u
s
ed
in
t
h
e
s
y
s
tem
f
o
r
b
etter
r
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C
PD
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s
eq
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m
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co
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p
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p
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wer
elec
tr
o
n
ic
c
o
m
p
o
n
en
ts
an
d
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th
e
r
co
n
tr
o
l
c
o
m
p
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n
en
ts
to
im
p
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o
v
e
elec
tr
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p
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s
y
s
tem
s
'
co
n
tr
o
l a
n
d
tr
a
n
s
f
er
ca
p
a
b
ilit
ies
[
7
]
,
[
8
]
.
Sin
ce
1
9
9
5
,
m
an
y
ty
p
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f
C
PD d
ev
ices h
av
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
2
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2
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8
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2
I
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t J Ap
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Vo
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1
5
,
No
.
2
,
J
u
n
e
20
2
6
:
793
-
807
794
b
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n
d
e
v
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s
u
ch
as
s
o
lid
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9
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1
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UPS)
[
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STAT
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d
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4
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itio
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r
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[
1
5
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[
1
6
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,
d
y
n
am
ic
v
o
ltag
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r
esto
r
e
r
(
DV
R
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[
1
7
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,
[
1
8
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,
an
d
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th
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s
.
Sev
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ies
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ies
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DVR
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ased
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o
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ag
/s
well
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tim
izatio
n
[
1
9
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[
2
1
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.
T
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e
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esear
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m
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r
o
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ates q
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ick
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o
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ality
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v
em
e
n
t
u
s
in
g
DVRs
,
in
clu
d
in
g
i
n
ter
lin
e
DVRs
an
d
co
n
tr
o
l
s
y
s
tem
u
p
d
ates
[
2
2
]
.
I
n
DVR
im
p
lem
en
t
atio
n
s
,
th
e
r
e
is
s
till
m
ass
iv
e
r
o
o
m
f
o
r
im
p
r
o
v
em
e
n
t in
p
er
f
o
r
m
an
ce
an
d
co
n
tr
o
ll
er
r
esp
o
n
s
e
tim
e.
B
esid
es th
at,
DVR d
ev
elo
p
m
en
t
ca
n
b
e
ca
r
r
ied
o
u
t
b
y
in
te
g
r
ati
n
g
r
e
n
ewa
b
le
e
n
er
g
y
s
o
u
r
ce
s
.
T
o
im
p
r
o
v
e
p
o
we
r
q
u
ality
,
p
r
ev
io
u
s
r
esear
ch
o
n
DVR
p
lace
m
en
t
o
p
tim
izatio
n
h
as
u
s
ed
an
I
E
E
E
1
6
-
b
u
s
test
s
y
s
tem
to
d
eter
m
in
e
th
e
b
est
lo
ca
tio
n
an
d
ca
p
ac
ity
o
f
DVRs
in
a
r
ad
ial
d
is
tr
ib
u
tio
n
s
y
s
tem
.
T
h
e
f
ir
ef
ly
alg
o
r
it
h
m
(
FA)
m
eth
o
d
was
co
m
p
ar
ed
u
s
in
g
th
e
p
ar
ticle
s
war
m
o
p
tim
izatio
n
(
PS
O)
an
d
g
e
n
etic
alg
o
r
ith
m
(
GA)
m
eth
o
d
s
,
d
em
o
n
s
tr
atin
g
FA'
s
s
u
p
er
io
r
p
er
f
o
r
m
an
ce
i
n
s
o
lv
in
g
th
e
p
r
o
b
lem
o
f
o
p
tim
a
l
DVR
lo
ca
tio
n
an
d
s
ize
[
2
3
]
.
B
ased
o
n
v
o
ltag
e
s
tab
ilit
y
a
n
aly
s
is
u
s
in
g
th
e
ca
b
le
s
tab
ilit
y
in
d
ex
o
n
th
e
I
E
E
E
1
4
-
b
u
s
an
d
I
E
E
E
3
0
-
b
u
s
test
s
y
s
t
em
s
,
th
e
ar
tific
ial
n
eu
r
al
n
etw
o
r
k
(
ANN)
m
eth
o
d
was
th
en
u
s
ed
to
o
p
tim
ize
DVR
p
lace
m
en
t
.
I
n
th
is
r
esear
ch
,
ANN
s
u
cc
ee
d
ed
in
id
en
tify
in
g
th
e
wea
k
est
ca
b
les
in
th
e
test
s
y
s
tem
,
wh
er
e
th
e
o
p
tim
al
p
lace
m
en
t o
f
th
e
FAC
T
S d
ev
ice
was c
ar
r
ied
o
u
t b
ased
o
n
th
e
test
r
esu
lts
[2
3
]
-
[2
5
]
.
Fu
r
th
er
m
o
r
e,
p
r
ev
i
o
u
s
r
esear
ch
r
eg
a
r
d
in
g
DVR
q
u
ality
im
p
r
o
v
em
en
t
u
s
in
g
P
SO
an
d
ANNN
f
o
r
v
o
ltag
e
s
ag
m
itig
atio
n
.
T
h
e
r
e
s
ea
r
ch
s
h
o
ws
th
at
th
e
DVR
-
ANN
is
b
etter
at
in
jectin
g
v
o
lta
g
e
th
an
a
DVR
with
a
PI
-
PS
O
co
n
tr
o
l
s
y
s
tem
wh
e
n
a
v
o
ltag
e
s
ag
o
cc
u
r
s
,
with
a
v
o
ltag
e
in
jectio
n
r
esu
lt
o
f
0
.
0
0
5
9
p
.
u
.
g
r
ea
te
r
th
a
n
th
e
PI
-
PS
O
co
n
tr
o
ller
[
26
]
.
T
h
is
r
esear
ch
d
is
cu
s
s
e
s
o
p
tim
izin
g
th
e
d
y
n
am
ic
v
o
ltag
e
r
esto
r
er
s
'
lo
ca
tio
n
,
n
u
m
b
er
,
an
d
p
e
r
f
o
r
m
an
ce
u
s
in
g
an
ar
ti
f
icial
n
eu
r
al
n
etwo
r
k
ac
co
r
d
in
g
to
th
e
s
tab
ilit
y
o
f
th
e
v
o
ltag
e
o
f
t
h
e
d
is
tr
ib
u
tio
n
n
etwo
r
k
in
th
e
Sib
o
lg
a
f
ee
d
er
SB
0
2
ar
ea
.
T
h
is
s
tu
d
y
p
r
o
p
o
s
es
th
e
id
ea
l
p
lace
m
en
t
an
d
q
u
an
tity
o
f
DVRs
.
I
t
u
s
ed
a
n
eu
r
al
n
etwo
r
k
to
esti
m
ate
th
e
n
u
m
b
er
an
d
p
lace
m
e
n
t
o
f
DVRs
.
2.
M
E
T
H
O
D
2
.
1
.
Dy
na
m
ic
v
o
lt
a
g
e
re
s
t
o
r
er
A
DVR
in
jects
v
o
ltag
e
ac
co
r
d
in
g
to
in
jectio
n
r
eq
u
i
r
em
en
ts
p
r
o
d
u
ce
d
b
y
a
DC
to
AC
in
v
er
te
r
in
s
er
ies
o
n
a
d
is
tr
ib
u
tio
n
n
etwo
r
k
ex
p
er
ien
cin
g
in
ter
f
e
r
en
ce
u
s
in
g
th
r
ee
s
in
g
le
-
p
h
ase
tr
an
s
f
o
r
m
er
s
(
b
o
o
s
ter
tr
an
s
f
o
r
m
er
)
.
A
DVR
o
f
ten
i
n
c
lu
d
es
an
e
n
er
g
y
s
u
p
p
ly
b
atter
y
,
a
DC
to
AC
in
v
er
ter
,
a
h
ar
m
o
n
ic
r
ed
u
ctio
n
f
ilter
,
an
in
jectio
n
tr
a
n
s
f
o
r
m
er
,
an
d
a
co
n
tr
o
l
cir
cu
it
.
T
h
e
co
n
tr
o
l
cir
cu
it
r
eg
u
lates
th
e
co
n
tr
o
l
s
ig
n
al
p
ar
am
eter
s
in
jecte
d
b
y
th
e
DVR,
in
clu
d
i
n
g
p
h
ase
s
h
if
t,
f
r
eq
u
e
n
cy
,
an
d
m
ag
n
itu
d
e
.
T
h
e
DVR'
s
in
j
ec
tio
n
tr
a
n
s
f
o
r
m
er
co
m
p
r
is
es
a
lo
ad
p
u
t
b
ef
o
r
e
th
e
d
is
tr
ib
u
tio
n
tr
an
s
f
o
r
m
er
with
th
e
s
en
s
itiv
e
lo
ad
an
d
a
m
ain
s
id
e
lin
k
ed
in
s
er
ies
with
th
e
d
is
tr
ib
u
tio
n
lin
e.
I
n
th
e
m
ea
n
tim
e,
th
e
DVR
cir
cu
it
is
co
n
n
ec
ted
in
s
er
ies
w
ith
t
h
e
s
ec
o
n
d
ar
y
s
id
e
.
Fig
u
r
es 1
an
d
2
s
h
o
w
th
e
lo
ca
t
io
n
o
f
t
h
e
DVR p
lace
m
en
t a
n
d
th
e
co
m
p
o
n
en
ts
co
n
tain
ed
in
t
h
e
DVR.
Fig
u
r
e
1
.
DVR p
lace
m
en
t lo
ca
tio
n
A
DVR
's
p
r
im
ar
y
jo
b
is
to
id
en
tify
v
o
ltag
e
s
ag
s
b
y
co
m
p
a
r
in
g
th
e
s
u
p
p
ly
v
o
ltag
e
with
a
r
ef
er
en
ce
v
alu
e
an
d
in
jectin
g
th
e
p
r
o
p
e
r
v
o
ltag
e
to
co
r
r
ec
t
th
e
d
is
tu
r
b
a
n
ce
.
W
h
en
a
d
is
tu
r
b
an
ce
o
cc
u
r
s
,
th
e
DVR's
co
n
tr
o
l
u
n
it r
ec
o
g
n
izes a
ch
a
n
g
e
i
n
th
e
v
o
ltag
e
r
ec
o
r
d
e
d
o
n
th
e
lo
a
d
.
I
t c
o
m
p
a
r
es th
e
v
o
ltag
e
r
ec
o
r
d
ed
at
th
e
l
o
ad
with
th
e
r
ef
er
e
n
ce
v
o
ltag
e.
T
h
e
c
o
n
tr
o
l u
n
it
p
r
o
d
u
ce
s
a
p
u
ls
e
o
u
tp
u
t,
wh
ich
is
f
o
r
war
d
ed
to
p
u
ls
e
wid
th
m
o
d
u
latio
n
(
PW
M)
an
d
co
n
tin
u
es
to
th
e
v
o
ltag
e
s
o
u
r
ce
in
v
er
ter
(
VSI
)
;
th
en
,
th
e
VSI
,
s
u
p
p
lied
with
DC
p
o
wer
,
will
r
esp
o
n
d
Evaluation Warning : The document was created with Spire.PDF for Python.
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n
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8
7
9
2
Desig
n
to
o
p
timiz
e
th
e
lo
ca
tio
n
,
n
u
mb
er,
a
n
d
p
erfo
r
ma
n
ce
o
f d
yn
a
mic
vo
lta
g
e
…
(
Yu
lia
n
t
a
S
ir
eg
a
r
)
795
to
th
e
p
u
ls
e
b
y
p
r
o
d
u
cin
g
AC
v
o
ltag
e.
VSI
wo
r
k
s
ac
co
r
d
i
n
g
to
th
e
m
ag
n
itu
d
e,
f
r
e
q
u
en
cy
,
an
d
p
h
ase
an
g
le
r
eq
u
ir
ed
f
o
r
th
e
DVR
to
b
e
in
jecte
d
in
to
th
e
n
etwo
r
k
ex
p
er
ien
cin
g
in
ter
f
er
en
ce
.
VSI
d
o
es
n
o
t
p
r
o
v
id
e
a
s
in
u
s
o
id
al
AC
v
o
ltag
e
b
ec
au
s
e
ch
an
g
es
i
n
v
o
ltag
e
f
o
r
m
ca
n
c
o
n
tain
h
a
r
m
o
n
ics.
T
h
en
,
th
e
AC
v
o
ltag
e
is
p
ass
ed
to
th
e
lo
w
-
p
ass
f
ilter
to
g
et
a
b
etter
s
in
u
s
o
id
al
s
h
ap
e.
Af
ter
a
lo
w
-
p
ass
f
ilter
f
ilter
s
th
e
r
es
u
ltin
g
AC
v
o
ltag
e,
th
e
v
o
ltag
e
is
th
en
in
cr
ea
s
ed
b
y
a
tr
an
s
f
o
r
m
er
to
a
v
o
ltag
e
s
u
itab
le
f
o
r
in
jectio
n
in
to
th
e
n
et
wo
r
k
.
T
h
e
wo
r
k
in
g
p
r
in
cip
le
o
f
a
DVR is
s
h
o
wn
b
elo
w
b
ased
o
n
Fig
u
r
e
3
[
2
7
]
.
Fig
u
r
e
2
.
DVR co
m
p
o
n
en
ts
Fig
u
r
e
3
.
DVR
wo
r
k
in
g
p
r
i
n
cip
le
2
.
2
.
DVR
-
ANN
C
h
an
g
e
th
e
co
n
tr
o
l
s
y
s
tem
o
n
th
e
DVR
to
b
e
ANN
-
b
ased
to
im
p
r
o
v
e
DVR
p
er
f
o
r
m
a
n
ce
u
s
in
g
ANN
[
2
6
]
,
[
2
8
]
.
T
h
e
d
esig
n
o
f
th
e
ANN
co
n
tr
o
l
s
y
s
tem
o
n
th
e
DVR
wo
r
k
s
b
y
u
s
in
g
d
ata
r
esu
ltin
g
f
r
o
m
th
e
co
m
p
ar
is
o
n
o
f
s
o
u
r
ce
v
o
ltag
e
an
d
lo
a
d
v
o
ltag
e,
c
o
n
s
is
tin
g
o
f
1
2
,
0
0
0
d
ata
f
r
o
m
p
r
e
v
io
u
s
PI
co
n
tr
o
ller
t
r
ain
in
g
.
T
h
is
d
ata
is
u
s
ed
as
s
y
s
tem
i
n
p
u
t
an
d
tar
g
et
o
u
tp
u
t
f
o
r
A
NN
co
n
tr
o
l
tr
ain
in
g
.
T
h
e
d
y
n
am
ic
v
o
ltag
e
r
esto
r
er
p
ar
am
eter
s
with
th
e
ANN
co
n
tr
o
l
s
y
s
tem
u
s
ed
ar
e
in
T
ab
le
1
.
Me
an
wh
ile,
th
e
s
h
ap
e
o
f
th
e
DVR
cir
cu
it
with
th
e
ANN
co
n
tr
o
ller
h
as b
ee
n
m
o
d
eled
in
Fig
u
r
e
4
.
T
h
is
r
esear
ch
was c
ar
r
ied
o
u
t
o
n
th
e
2
0
k
V
d
is
tr
ib
u
tio
n
n
etw
o
r
k
s
y
s
tem
in
th
e
Sib
o
lg
a
R
eg
io
n
SB
0
2
f
ee
d
er
with
d
ata
o
b
tain
ed
f
r
o
m
PT.
PLN
(
Per
s
er
o
)
UP3
Sib
o
l
g
a,
No
r
th
Su
m
atr
a
Pr
o
v
in
ce
,
I
n
d
o
n
esia.
T
h
e
SB
0
2
f
ee
d
er
is
d
ep
icted
o
n
a
s
in
g
le
-
li
n
e
d
iag
r
am
u
s
in
g
MA
T
L
AB
R
2
0
2
0
a
s
o
f
twar
e
with
a
lo
a
d
o
f
3
6
p
o
in
ts
,
4
4
b
u
s
es,
an
d
4
3
ca
b
les,
as
s
ee
n
in
Fig
u
r
es
5
an
d
6
.
Fig
u
r
e
5
s
h
o
ws
th
e
Sib
o
lg
a
SB
0
2
f
ee
d
er
s
in
g
le
-
l
in
e
d
iag
r
am
b
ef
o
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s
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d
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u
m
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er
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f
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in
th
e
SB
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ee
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r
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k
V
d
is
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ib
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ANN
c
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o
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m
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el
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Fig
u
r
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5
.
Sin
g
le
lin
e
d
iag
r
a
m
o
f
SB
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Sib
o
lg
a
f
ee
d
er
b
e
f
o
r
e
DVR p
lace
m
en
t
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I
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E
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g
I
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N:
2252
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8
7
9
2
Desig
n
to
o
p
timiz
e
th
e
lo
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tio
n
,
n
u
mb
er,
a
n
d
p
erfo
r
ma
n
ce
o
f d
yn
a
mic
vo
lta
g
e
…
(
Yu
lia
n
t
a
S
ir
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r
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797
Fig
u
r
e
6
.
Sin
g
le
lin
e
d
iag
r
a
m
o
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SB
0
2
Sib
o
lg
a
f
ee
d
er
af
te
r
DVR p
lace
m
en
t
Fig
u
r
e
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R
esear
ch
f
lo
w
d
iag
r
am
Evaluation Warning : The document was created with Spire.PDF for Python.
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3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
L
o
a
d f
l
o
w
a
na
ly
s
is
bef
o
re
DVR
pla
ce
m
ent
L
o
ad
f
lo
w
a
n
aly
s
is
is
p
er
f
o
r
m
e
d
u
s
in
g
MA
T
L
AB
R
2
0
2
0
a
b
y
f
ir
s
t
co
n
s
tr
u
ctin
g
th
e
s
in
g
le
-
lin
e
d
iag
r
am
o
f
th
e
SB
0
2
f
ee
d
er
an
d
s
ettin
g
th
e
r
eq
u
ir
ed
p
ar
am
eter
s
.
Fig
u
r
e
8
p
r
esen
ts
th
e
lo
ad
f
lo
w
r
esu
lts
p
r
io
r
to
th
e
in
s
tallatio
n
o
f
th
e
DVR.
T
h
ese
r
esu
lts
r
ep
r
esen
t th
e
s
y
s
tem
c
o
n
d
itio
n
b
ef
o
r
e
th
e
DVR is
ap
p
lied
.
Fig
u
r
e
8.
L
o
ad
f
l
o
w
r
esu
lt b
ef
o
r
e
th
e
in
s
tallatio
n
o
f
th
e
DV
R
3.
2
.
Resul
t
s
f
ro
m
a
rt
if
icia
l n
eura
l net
wo
rk
ANN
is
u
s
ed
to
f
in
d
th
e
o
p
ti
m
al
lo
ca
tio
n
a
n
d
n
u
m
b
er
o
f
DVRs
p
lace
d
o
n
th
e
2
0
k
V
S
B
0
2
f
ee
d
er
d
is
tr
ib
u
tio
n
n
etwo
r
k
w
h
er
e
th
e
ANN
wo
r
k
s
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y
co
n
d
u
ctin
g
t
r
ain
in
g
d
ata
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e
f
o
r
e
it
ca
n
ca
r
r
y
o
u
t
o
p
tim
izatio
n
.
I
n
o
p
tim
izatio
n
,
d
ata
v
a
r
iatio
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s
wer
e
ca
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ied
o
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t
b
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0
% to
2
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% with
a
v
a
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iatio
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el
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o
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ch
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ata
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im
p
r
o
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e
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ain
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p
e
r
f
o
r
m
an
ce
.
T
h
e
d
ata
th
at
is
v
ar
ied
is
th
e
r
ea
ctiv
e
p
o
wer
o
f
th
e
lo
ad
,
wh
er
e
th
is
d
ata
is
th
e
tr
ain
in
g
in
p
u
t,
a
n
d
th
e
L
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ased
o
n
t
h
e
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ar
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atio
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e
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ain
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o
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tp
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f
t
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ain
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e
d
ata
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ca
r
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ied
o
u
t,
with
th
e
tr
ain
in
g
an
d
v
alid
atio
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r
es
u
lt
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es
ap
p
r
o
ac
h
in
g
1
,
as
in
Fig
u
r
e
9
.
T
ab
le
2
s
h
o
ws
th
e
o
p
tim
izatio
n
s
im
u
latio
n
r
esu
lts
s
o
r
ted
b
y
th
e
lar
g
est
L
mn
v
al
u
e,
wh
ich
s
h
o
ws
th
e
b
u
s
lo
ca
tio
n
s
th
at
ar
e
m
o
s
t
v
u
ln
er
ab
le
to
in
ter
f
e
r
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ce
.
T
a
b
le
2
d
escr
ib
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th
e
o
p
tim
izatio
n
s
im
u
latio
n
'
s
r
esu
lt
s
s
o
r
ted
th
e
ten
lar
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est
L
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o
n
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e
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y
s
tem
'
s
b
u
s
es.
T
h
e
o
p
tim
al
lo
ca
tio
n
f
o
r
DVR
p
lace
m
en
t
was
f
o
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n
d
,
n
a
m
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y
o
n
b
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s
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b
u
s
2
4
,
b
u
s
2
7
,
an
d
b
u
s
3
5
,
wi
th
a
to
tal
o
f
5
DVRs
.
Fig
u
r
e
9
.
ANN
tr
ain
in
g
an
d
v
a
lid
atio
n
r
esu
lts
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ap
p
l Po
wer
E
n
g
I
SS
N:
2252
-
8
7
9
2
Desig
n
to
o
p
timiz
e
th
e
lo
ca
tio
n
,
n
u
mb
er,
a
n
d
p
erfo
r
ma
n
ce
o
f d
yn
a
mic
vo
lta
g
e
…
(
Yu
lia
n
t
a
S
ir
eg
a
r
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799
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ab
le
2
.
Op
tim
izatio
n
r
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with
th
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lar
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est L
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1
32
0
.
1
5
6
3
9
6
9
0
.
0
2
5
1
5
3.
3
.
Sim
ula
t
i
o
n r
esu
lt
s
o
f
DVR
pla
ce
m
ent
Af
ter
o
b
tain
in
g
th
e
o
p
tim
izati
o
n
o
f
th
e
lo
ca
tio
n
an
d
n
u
m
b
er
o
f
DVRs
,
a
s
im
u
latio
n
is
ca
r
r
ied
o
u
t
to
o
p
tim
ize
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
DVRs
u
s
in
g
ANN.
Simu
latio
n
s
wer
e
also
ca
r
r
ied
o
u
t
to
s
ee
th
e
ef
f
ec
t
o
f
v
o
ltag
e
s
tab
ilit
y
af
ter
DVR
p
lace
m
en
t.
I
m
p
r
o
v
in
g
DVR
p
er
f
o
r
m
an
ce
was
ca
r
r
ied
o
u
t
u
s
in
g
d
ata
f
r
o
m
a
s
o
u
r
ce
an
d
lo
a
d
v
o
lta
g
e
co
m
p
ar
is
o
n
o
f
1
2
,
0
0
0
d
ata
f
r
o
m
p
r
e
v
io
u
s
PI
co
n
tr
o
ller
tr
ain
in
g
.
T
h
e
c
h
an
g
es
to
t
h
e
DVR
p
ar
am
eter
s
o
n
th
e
DC
s
o
u
r
ce
(
T
ab
le
2
)
af
ter
o
p
tim
izatio
n
ar
e
2
×
6000
V
at
p
o
in
t
1
(
b
u
s
2
)
,
2
×
4000
V
at
p
o
in
t
3
(
b
u
s
2
4
)
,
an
d
2
×
1
8
0
0
V
at
p
o
in
t
5
(
b
u
s
3
5
)
.
T
h
e
s
im
u
latio
n
r
esu
lts
f
o
r
DV
R
p
lace
m
en
t
we
r
e
ca
r
r
ied
o
u
t
u
s
in
g
a
3
-
p
h
ase
s
h
o
r
t c
ir
cu
it a
t e
ac
h
p
lace
m
en
t p
o
i
n
t to
s
ee
th
e
ef
f
e
ct
o
f
v
o
ltag
e
s
tab
ilit
y
af
ter
in
s
tallin
g
th
e
DVR.
3.
3
.
1
.
Sim
ula
t
io
n r
esu
lt
s
o
f
DVR
pla
ce
m
ent
a
t
po
int
1
Fig
u
r
e
10
s
h
o
ws
th
e
s
im
u
latio
n
r
esu
lts
at
p
o
in
t
1
(
b
u
s
2
)
.
T
h
e
s
im
u
latio
n
was
p
er
f
o
r
m
ed
wit
h
th
e
DVR
p
lace
d
o
n
b
u
s
2
as
a
v
o
ltag
e
r
ec
o
v
er
y
d
e
v
ice.
T
h
e
s
im
u
latio
n
r
esu
lts
ar
e
s
h
o
wn
in
Fig
u
r
e
1
0
,
with
th
e
v
o
ltag
e
v
alu
es
f
o
r
p
h
ases
A,
B
,
an
d
C
r
em
ain
in
g
with
in
th
e
p
e
r
m
itted
s
tan
d
ar
d
s
.
T
h
en
,
th
e
v
o
l
tag
e
v
alu
e
wh
en
a
d
is
tu
r
b
an
ce
o
cc
u
r
s
,
an
d
th
e
v
o
ltag
e
v
alu
e
af
ter
it
is
r
esto
r
ed
u
s
in
g
a
DVR
ca
n
b
e
s
ee
n
u
s
in
g
th
e
FF
T
to
o
ls
f
r
o
m
MA
T
L
AB
\
S
im
u
lin
k
,
as in
Fig
u
r
es 1
1
an
d
1
2
.
3.
3
.
2
.
Sim
ula
t
io
n r
esu
lt
s
o
f
DVR
pla
ce
m
ent
a
t
po
int
2
Fig
u
r
e
13
s
h
o
ws
th
e
s
im
u
latio
n
r
esu
lts
at
p
o
in
t
2
(
b
u
s
1
2
)
.
T
h
e
s
im
u
latio
n
r
esu
lts
ar
e
s
h
o
w
n
in
Fig
u
r
e
1
3
with
th
e
v
o
ltag
e
v
alu
es
f
o
r
p
h
ases
A,
B
,
an
d
C
r
em
ain
in
g
with
in
th
e
p
e
r
m
itted
s
tan
d
ar
d
s
.
T
h
en
,
th
e
v
o
ltag
e
v
alu
e
wh
en
a
d
is
tu
r
b
an
ce
o
cc
u
r
s
,
an
d
th
e
v
o
ltag
e
v
alu
e
a
f
ter
it
is
r
esto
r
ed
u
s
in
g
a
DVR
ca
n
b
e
s
ee
n
u
s
in
g
th
e
FF
T
to
o
ls
f
r
o
m
MA
T
L
AB
\
Si
m
u
lin
k
,
as in
Fig
u
r
es 1
4
a
n
d
1
5
.
3.
3
.
3
.
Sim
ula
t
io
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ce
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ent
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t
po
int
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Fig
u
r
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16
s
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).
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e
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Fig
u
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with
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,
as in
Fig
u
r
es 1
7
a
n
d
1
8
.
Fig
u
r
e
10
.
Simu
latio
n
r
esu
lts
o
f
DVR p
lace
m
en
t a
t p
o
i
n
t 1
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lace
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Fig
u
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13
.
Simu
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r
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o
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m
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i
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t
2
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lace
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u
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15
.
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en
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at
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Fig
u
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16
.
Simu
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o
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DVR p
lace
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en
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i
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t 3
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I
SS
N
:
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2
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:
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u
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17
.
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e
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lace
m
e
n
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at
p
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Fig
u
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18
.
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ter
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lace
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en
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at
p
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3.
3
.
4
.
Sim
ula
t
io
n r
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lt
s
o
f
DVR
pla
ce
m
ent
a
t
po
int
4
Fig
u
r
e
19
s
h
o
ws
th
e
s
im
u
latio
n
r
esu
lts
at
p
o
in
t
4
(
b
u
s
27
)
.
T
h
e
s
im
u
latio
n
r
esu
lts
ar
e
s
h
o
w
n
in
Fig
u
r
e
1
9
,
with
th
e
v
o
ltag
e
v
alu
es
f
o
r
p
h
ases
A,
B
,
an
d
C
r
em
ain
i
n
g
with
in
th
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p
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d
ar
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s
.
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h
en
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th
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a
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ter
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esto
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s
in
g
a
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n
b
e
s
ee
n
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s
in
g
th
e
FF
T
to
o
ls
f
r
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m
MA
T
L
AB
\
Si
m
u
lin
k
,
as in
Fig
u
r
es
2
0
a
n
d
2
1
.
3.
3
.
5
.
Sim
ula
t
io
n r
esu
lt
s
o
f
DVR
pla
ce
m
ent
a
t
po
int
5
Fig
u
r
e
22
s
h
o
ws
th
e
s
im
u
latio
n
r
esu
lts
at
p
o
in
t
5
(
b
u
s
35
)
.
T
h
e
s
im
u
latio
n
r
esu
lts
ar
e
s
h
o
w
n
in
Fig
u
r
e
22
,
with
th
e
v
o
ltag
e
v
alu
es
f
o
r
p
h
ases
A,
B
,
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d
C
r
em
ain
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n
g
with
in
th
e
p
er
m
itted
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d
ar
d
s
.
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h
en
,
th
e
v
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e
v
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e
wh
en
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d
is
tu
r
b
an
ce
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cc
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r
s
,
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e
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v
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e
a
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ter
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esto
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s
in
g
a
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n
b
e
s
ee
n
u
s
in
g
th
e
FF
T
to
o
ls
f
r
o
m
MA
T
L
AB
\
Si
m
u
lin
k
,
as in
Fig
u
r
es
2
3
a
n
d
2
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.